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X-ORIGINAL-URL:https://wasp-sweden.org
X-WR-CALDESC:Events for WASP
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20210611T100000
DTEND;TZID=+01:00:20210611T235900
DTSTAMP:20260601T150727
CREATED:20210531T125156Z
LAST-MODIFIED:20260601T083903Z
UID:10000304-1623405600-1623455940@wasp-sweden.org
SUMMARY:Lic. Thesis Seminar: Forward and Inverse Decision-Making in Adversarial\, Cooperative\, and Biologically-Inspired Dynamical Systems
DESCRIPTION:Doctoral student:  Inês de Miranda de Matos Lourenço\, Division of Decsion and Control Systems\, KTH \nSubject area:  Electrical Engineering \nSupervisor:  Professor Bo Wahlberg\, Division of Decsion and Control Systems\, KTH \nOpponent:  Assistant Professor Karinne Ramirez-Amaro\, Chalmers University of Technology
URL:https://wasp-sweden.org/event/lic-thesis-seminar-forward-and-inverse-decision-making-in-adversarial-cooperative-and-biologically-inspired-dynamical-systems/
LOCATION:Online\, Online\, Other
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210608T100000
DTEND;TZID=+01:00:20210608T235900
DTSTAMP:20260601T150727
CREATED:20210525T103635Z
LAST-MODIFIED:20260601T083904Z
UID:10000309-1623146400-1623196740@wasp-sweden.org
SUMMARY:PhD Defense: On the Foundations of Practical Language-Based Security
DESCRIPTION:Title: On the Foundations of Practical Language-Based Security \nRespondent: Maximilian Algehed \nOpponent: Frank Piessens \nDate & Time: June 8\, 10:00 – 13:00 \nLink to thesis and to the online disputation \n\n\nAbstract\nTeoretiska Grundvalar för Praktiska IT-Säkerhetsverktyg\nModerna datorprogram är de mest komplexa artefakter som människan någonsin\nhar skapat. För att samhället ska kunna lita på att ingenjörer och programmerare\ninte utsätter oss alla för stora risker med dessa komplexa system behöver vi\ntillgång till verktyg som hjälper oss att förebygga säkerhetsluckor. Den här\navhandligen handlar om hur vi kan säkerställa att sådana verktyg faktiskt\nfungerar och inte ger ett falskt intryck om säkerhet där ingen finns.\nVerktyg av den här typen kan i grova tag uppdelas i två kategorier. I den första\nkategorin faller verktyg som programmeraren använder under utvecklingstiden\nför att hitta problem innan programmet färdigställts och i den andra kategorin\nfinner vi verktyg som agerar huvudsakligen efter att ett program redan användsi praktiken för att hindra säkerhetshål som inte upptäcks under utvecklingsperi-\noden från att skapa problem. I den här avhandlingen finns nya resultat för bådadessa kategorier av verktyg.\nI den första kategorin bidrar den här avhandlingen med en ny metod för att\nbevisa att programmeringsspråk kan garantera att alla program i språket är\nsäkra. I den andra kategorin bidrar den här avhandlingen med en ny förenande\nteori och ett bevis att det inte existerar några perfekta mekanismer för att ge\nsäkerhet. Sammanfattningsvis ger den här avhandlingen stöd till inställningen att\ndatasäkerhet är någonting som bör finnas med från början i utvecklingsprocessen\ndå det är förhållandevis mer tekniskt komplicerat att anpassa system för att\nuppnå datasäkerhet a posteriori.
URL:https://wasp-sweden.org/event/phd-defense-on-the-foundations-of-practical-language-based-security/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210602T000000
DTEND;TZID=+01:00:20210602T235959
DTSTAMP:20260601T150727
CREATED:20210318T075343Z
LAST-MODIFIED:20260601T083908Z
UID:10000318-1622592000-1622678399@wasp-sweden.org
SUMMARY:WASP4ALL 2021 - Building Excellence for the Era of AI
DESCRIPTION:WASP has now passed its fifth year and with an expanded program including initiatives towards AI and Math\, WASP continues to build the foundations for ensuring relevance and impact of its research. This event will highlight and showcase the excellence that WASP is producing. With talks from a mix of WASP researchers\, international speakers\, industrial partners and high-profile decision makers\, this event demonstrates how WASP is building excellence for the Era of AI. \n​We warmly welcome you to take part of this streamed production and live talks.
URL:https://wasp-sweden.org/event/wasp4all-2021-building-excellence-for-the-era-of-ai/
LOCATION:Online\, Online\, Other
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2021/03/Wasp_1090x495_2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210528T131500
DTEND;TZID=+01:00:20210528T235900
DTSTAMP:20260601T150727
CREATED:20210419T073803Z
LAST-MODIFIED:20260601T083906Z
UID:10000314-1622207700-1622246340@wasp-sweden.org
SUMMARY:Licentiate Defense: Robust LIDAR-Based Localization in Underground Mines
DESCRIPTION:Title: Robust LIDAR-Based Localization in Underground Mines \nSpeaker: MSc Kristin Nielsen\, Epiroc Drills AB/LiU \nOpponent: Prof John Folkesson\, KTH \nSupervisor: Doc Gustaf Hendeby\, LiU \nCo-supervisors: Prof Fredrik Gustafsson\, LiU\, Dr Robert Lundh\, Epiroc Drills AB/LiU \n  \nDate: 2021-05-28 \nTime: 13:15-15:00 \nPlace: https://liu-se.zoom.us/j/68373726076?pwd=RUZRWDBBMlBCUTV3azBWNWNPbWIvZz09 \nLanguage: English \n  \nAbstract: \nThe mining industry is currently facing a transition from manually operated vehicles to remote or semi-automated vehicles. The vision is fully autonomous vehicles being part of a larger fleet\, with humans only setting high-level goals for the autonomous fleet to execute in an optimal way. An enabler for this vision is the presence of robust\, reliable and highly accurate localization. This is a requirement for having areas in a mine with mixed autonomous vehicles\, manually operated vehicles\, and unprotected personnel. The robustness of the system is important from a safety as well as a productivity perspective. When every vehicle in the fleet is connected\, an uncertain position of one vehicle can result in the whole fleet begin halted for safety reasons. \nProviding reliable positions is not trivial in underground mine  environments\, where access to global satellite based navigation systems is denied. Due to the harsh and dynamically changing environment\, onboard positioning solutions are preferred over systems utilizing external infrastructure. The focus of this thesis is localization systems relying only on sensors mounted on the vehicle\, e.g.\, odometers\, inertial measurement units\, and 2D LIDAR sensors. The localization methods are based on the Bayesian filtering framework and estimate the distribution of the position in the reference frame of a predefined map     covering the operation area. This thesis presents research where the properties of 2D LIDAR data\, and specifically characteristics when obtained in an underground mine\, are considered to produce position estimates that are robust\, reliable\, and accurate. \nFirst\, guidelines are provided for how to tune the design parameters associated with the unscented Kalman filter (UKF). The UKF is an algorithm designed for nonlinear dynamical systems\, applicable to this particular positioning problem. There exists no general guidelines for how to choose the parameter values\, and using the standard values suggested in the literature result in unreliable estimates in the considered application. Results show that a proper parameter setup substantially improves the performance of this algorithm. \nNext\, strategies are developed to use only a subset of available measurements without losing quality in the position estimates. LIDAR sensors typically produce large amounts of data\, and demanding real-time positioning information limits how much data the system can process. By analyzing the information contribution from each individual laser ray in a complete LIDAR scan\, a subset is selected by maximizing the information content. It is shown how 80% of available LIDAR measurements can be dropped without significant loss of accuracy. \nLast\, the problem of robustness in non-static environments is addressed. By extracting features from the LIDAR data\, a computationally tractable localization method\, resilient to errors in the map\, is obtained. Moving objects\, and tunnels being extended or closed\, result in a map not corresponding to the LIDAR observations. State-of-the art feature extraction methods for 2D LIDAR data are identified\, and a localization algorithm is defined where features found in LIDAR data are matched to features extracted from the map. Experiments show that regions of the map containing errors are automatically ignored since no matching features are found in the LIDAR data\, resulting in more robust position estimates. \n\nQuestions are answered by Ninna Stensgård\, Phone  013-28 47 25 \nE-mail ninna.stensgard@liu.se \n\n 
URL:https://wasp-sweden.org/event/licentiate-defense-robust-lidar-based-localization-in-underground-mines/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210510T141500
DTEND;TZID=+01:00:20210510T235900
DTSTAMP:20260601T150727
CREATED:20210408T150406Z
LAST-MODIFIED:20260601T083907Z
UID:10000316-1620656100-1620691140@wasp-sweden.org
SUMMARY:PhD Defense: Sensor Management for Target Tracking Applications
DESCRIPTION:Title: Sensor Management for Target Tracking Applications \nSpeaker: Per Boström-Rost \nOpponent: : Prof Peter Willett\, University of Connecticut \nSupervisor: Gustaf Hendeby\, LiU \nCo-supervisors: Daniel Axehill\, LiU \n\nDate: 2021-05-10 \nTime: 14:15-17:00 \nPlace: https://liu-se.zoom.us/j/67125115813?pwd=aDU0NFZOcTdyaGVHc0NGM28yMGpudz09 \nLanguage: English \nLink to thesis \n\nAbstract\nMany practical applications\, such as search and rescue operations and environmental monitoring\, involve the use of mobile sensor platforms. The workload of the sensor operators is becoming overwhelming\, as both the number of sensors and their complexity are increasing. This thesis addresses the problem of automating sensor systems to support the operators. This is often referred to as sensor management. By planning trajectories for the sensor platforms and exploiting sensor characteristics\, the accuracy of the resulting state estimates can be improved. The considered sensor management problems are formulated in the framework of stochastic optimal control\, where prior knowledge\, sensor models\, and environment models can be incorporated. The core challenge lies in making decisions based on the predicted utility of future measurements. \nIn the special case of linear Gaussian measurement and motion models\, the estimation performance is independent of the actual measurements. This reduces the problem of computing sensing trajectories to a deterministic optimal control problem\, for which standard numerical optimization techniques can be applied. A theorem is formulated that makes it possible to reformulate a class of nonconvex optimization problems with matrix-valued variables as convex optimization problems. \nThis theorem is then used to prove that globally optimal sensing trajectories can be computed using off-the-shelf optimization tools. As in many other fields\, nonlinearities make sensor management problems more complicated. Two approaches are derived to handle the randomness inherent in the nonlinear problem of tracking a maneuvering target using a mobile range-bearing sensor with limited field of view. The first approach uses deterministic sampling to predict several candidates of future target trajectories that are taken into account when planning the sensing trajectory. This significantly increases the tracking performance compared to a conventional approach that neglects the uncertainty in the future target trajectory. The second approach is a method to find the optimal range between the sensor and the target. Given the size of the sensor’s field of view and an assumption of the maximum acceleration of the target\, the optimal range is determined as the one that minimizes the tracking error while satisfying a user-defined constraint on the probability of losing track of the target. \nWhile optimization for tracking of a single target may be difficult\, planning for jointly maintaining track of discovered targets and searching for yet undetected targets is even more challenging. Conventional approaches are typically based on a traditional tracking method with separate handling of undetected targets. Here\, it is shown that the Poisson multi-Bernoulli mixture (PMBM) filter provides a theoretical foundation for a unified search and track method\, as it not only provides state estimates of discovered targets\, but also maintains an explicit representation of where undetected targets may be located. Furthermore\, in an effort to decrease the computational complexity\, a version of the PMBM filter which uses a grid-based intensity to represent undetected targets is derived.
URL:https://wasp-sweden.org/event/phd-defense-sensor-management-for-target-tracking-applications/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210310T131500
DTEND;TZID=+01:00:20210310T235900
DTSTAMP:20260601T150727
CREATED:20210217T143857Z
LAST-MODIFIED:20260601T083908Z
UID:10000319-1615382100-1615420740@wasp-sweden.org
SUMMARY:Launching WASP Research Arenas 2.0
DESCRIPTION:WASP invites industries and researchers to the launch of WARA 2.0\, introducing the updated concept\, news from all five arenas and a glimpse of what is to come. \nWASP Research Arenas (WARAs) are research collaboration platforms gathering researchers from academia and industry. Through the arenas\, the participating researchers gain exclusive access to infrastructures\, resources and competence in a context that facilitates networking and promotes knowledge transfer. \nDuring 2020 the concept of WASP Research Arenas has been rewritten\, resulting in several new\, state of the art research arenas. The new concept and arenas will officially be launched at this webinar. \nProgram\nOpening – Anders Ynnerman\, WASP Program Director\, Linköping University \nWARA 2.0 – Torbjörn Lundahl\, WARA Director\, Ericsson Research\nPresentation of the overall objective with the WARA initiative\, description of the concept and criteria for establishing WARA\, and how to propose and get approval for an arena. \nWARA Common – Johan Eker\, Ericsson Research\nWARA-common is a data center and cloud provider open for WASP researchers to build and operate their services\, deploy large scale computations\, or use in education. We also collect metrics and logs from the full cloud stack and the facilities\, for use in research projects on data-driven operations together with Ericsson. \nWARA Public Safety – Jesper Tordenlid\, Saab\nIn WARA Public Safety we provide a large scale and industrially relevant demonstration environment where heterogeneous Systems of Systems collaborate to solve tasks within Public Safety. You have access to unique autonomous vehicles and sensors in the air\, on water\, on ground and underwater as well as experienced engineers and real users. The coastal environment and scenarios within search & rescue and transportation\, offers challenges relevant for many domains. \nWARA Robotics – Jonas Larsson\, ABB Corporate Research\nThe WARA will include a multitude of manipulation tasks to give a rich set of research problems in an environment that enables robots to navigate and perform manufacturing-relevant manipulation tasks. Under realistic deployment conditions this require robots to autonomously understand the world around them\, to build knowledge incrementally\, learn new skills\, perform them safely and reliably\, and adapt to changes in the environment and humans’ behavior. \nWARA Software – Christoph Reichenbach\, Lund University\nThe WARA for Software connects software technology research between academia and industry.  Its activities focus on understanding and growing the utility of modern tools for building and improving software in the Swedish industry. The WARA constructs benchmarks and platforms for evaluating software tools\, and supports WASP PhD students in both exploiting and advancing the state of the art in software technology. \nWARA Media  – Johanna Björklund\, Umeå University\nThe mission of WARA Media is to foster a community around Media AI\, that cuts across scientific fields and industry sectors.  The research topics cover generation and classification of media\, augmentation and replication of human communication and control\, and finally verification and validation. We welcome new participants from the WASP community and the Swedish industries – please connect if interested. \nWARA NLP – Salla Franzén\, SEB\nNatural Language Processing is a foundational research area and an enabler for human machine interaction\, process automation and many other applications. The aim of the WARA NLP under planning is twofold. Firstly\, to develop a community for academic\, industrial and governmental organizations with interests in NLP applications and base research. Secondly\, to generate high-quality research in NLP in areas of importance for the WARA participants and society\, such as training large-scale language models for Nordic languages with federated learning and adapter models for transfer learning. \nInformation\nThe event will be held in English. \nDate: March 10\, 2021 \nTime: 13:15–14:15 (GMT +1) \nContact\nAny questions regarding this event can be sent to: info@wasp-sweden.org
URL:https://wasp-sweden.org/event/launching-wasp-research-arenas-2-0/
LOCATION:Online\, Online\, Other
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2021/02/WARA-webinar_basic_color.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210212T000000
DTEND;TZID=+01:00:20210212T235959
DTSTAMP:20260601T150727
CREATED:20201216T074711Z
LAST-MODIFIED:20260601T083910Z
UID:10000324-1613088000-1613174399@wasp-sweden.org
SUMMARY:PhD Defense: Digital Cognitive Companions for Marine Vessels - On the Path Towards Autonomous Ships
DESCRIPTION:Thesis title: Digital Cognitive Companions for Marine Vessels – On the Path Towards Autonomous Ships \nAuthor: Mårten Lager\, Department of Computer Science\, Lund university \nFaculty opponent: Professor Henrik I. Christensen\, University of California\, USA \nLocation: Online – link by registration
URL:https://wasp-sweden.org/event/phd-defense-digital-cognitive-companions-for-marine-vessels-on-the-path-towards-autonomous-ships/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2020/12/PhD-Defense-MårtenLager.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210201T140000
DTEND;TZID=+01:00:20210201T235900
DTSTAMP:20260601T150727
CREATED:20210127T103456Z
LAST-MODIFIED:20260601T083909Z
UID:10000320-1612188000-1612223940@wasp-sweden.org
SUMMARY:Lic. Thesis Seminar: Adaptiveness and Lock-free Synchronization in Parallel Stochastic Gradient Descent
DESCRIPTION:Lic. thesis seminar \nFebruary 1\, 14.00 via zoom \nKarl Bäckström\, Computer Science and Engineering\, Chalmers University of Technology\, will present his lic thesis Adaptiveness and Lock-free Synchronization in Parallel Stochastic Gradient Descent. \n 
URL:https://wasp-sweden.org/event/lic-thesis-seminar-adaptiveness-and-lock-free-synchronization-in-parallel-stochastic-gradient-descent/
LOCATION:Online\, Online\, Other
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210129T131500
DTEND;TZID=+01:00:20210129T235900
DTSTAMP:20260601T150727
CREATED:20210112T114937Z
LAST-MODIFIED:20260601T083909Z
UID:10000322-1611926100-1611964740@wasp-sweden.org
SUMMARY:Lic. Thesis Seminar: Integration of Clouds to Industrial Communication Networks
DESCRIPTION:Title: Integration of Clouds to Industrial Communication Networks \nPresenter: Haorui Peng\, Electrical and Information Technology\, LTH\, Lund University and Wallenberg AI\, Autonomous Systems and Software Program (WASP) \nReviewer: Prof. Åke Arvidsson från Kristianstad University \nWhen: 29 January 2021 at 13.15 \nLocation: Online at the zoom platform. Please register at https://www.lth.se/digitalth/events/register-2021-01-29/ in order to get an access link. \nAbstract\nCloud computing\, owing to its ubiquitousness\, scalability and on-demand ac- cess\, has transformed into many traditional sectors\, such as telecommunication and manufacturing production. As the Fifth Generation Wireless Specifications (5G) emerges\, the demand on ubiquitous and re-configurable computing resources for handling tremendous traffic from omnipresent mobile devices has been put forward. And therein lies the adaption of cloud-native model in service delivery of telecommunication networks. However\, it takes phased approaches to successfully transform the traditional Telco infrastructure to a softwarized model\, especially for Radio Access Networks (RANs)\, which\, as of now\, mostly relies on purpose-built Digital Signal Processors (DSPs) for computing and processing tasks. \nOn the other hand\, Industry 4.0 is leading the digital transformation in manufacturing sectors\, wherein the industrial networks is evolving towards wireless connectivity and the automation process managements are shifting to clouds. However\, such integration may introduce unwanted disturbances to critical industrial automation processes. This leads to challenges to guaran- tee the performance of critical applications under the integration of different systems. \nIn the work presented in this thesis\, we mainly explore the feasibility of inte- grating wireless communication\, industrial networks and cloud computing. We have mainly investigated the delay-inhibited challenges and the performance impacts of using cloud-native models for critical applications. We design a solution\, targeting at diminishing the performance degradation caused by the integration of cloud computing.
URL:https://wasp-sweden.org/event/lic-thesis-seminar-integration-of-clouds-to-industrial-communication-networks/
LOCATION:Online\, Online\, Other
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210127T000000
DTEND;TZID=+01:00:20210127T235959
DTSTAMP:20260601T150727
CREATED:20201218T072742Z
LAST-MODIFIED:20260601T083910Z
UID:10000323-1611705600-1611791999@wasp-sweden.org
SUMMARY:Webinar: WASP Industrial PhD Student Call
DESCRIPTION:Interested in WASP’s upcoming Industrial PhD Student call? Join our webinar to learn more! \nWASP invites everyone interested in the upcoming WASP Industrial PhD Student Call to an information webinar on January 27th\, 2021\, 13:15-15:15. The webinar will be held through Zoom. If you wish to attend\, please register through the link below. You will receive a meeting invitation a couple of days before the webinar. \nAbout the WASP Industrial PhD Student Call\nWASP is offering up to 10 industrial doctoral student positions within AI\, Autonomous Systems and Software at the five partner universities Chalmers\, KTH\, Linköping University\, Lund University and Umeå University as well as the research groups at Örebro University and Uppsala University that are members of WASP AI. The industrial partner should have research activities in Sweden. \nThe projects are expected to address fundamental research problems within any of WASP’s research areas and expect to have a strong visionary and novelty nature\, i.e.\, not only application development. The call opens January 25th\, 2021. \nWASP industrial PhD students will be part of the WASP graduate school. The graduate school is making efforts to actively attract industrial PhD students. To make the industrial PhD studies relevant to companies\, courses offered in the program are tailored to meet the future needs in industry. \nAbout Industrial PhD studies\nIn our Industrial PhD Report\, an overall comment from the editors is the possibilities for industry to think of industrial PhD students as a strategic instrument. The main types of results for participating industry are partly concrete in the form of research results and a doctoral degree but also\, as shown in recent research\, participating industries improve their overall innovation capability.
URL:https://wasp-sweden.org/event/webinar-wasp-industrial-phd-student-call/
LOCATION:Online\, Online\, Other
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20201210T150000
DTEND;TZID=+01:00:20201210T235900
DTSTAMP:20260601T150727
CREATED:20201113T114820Z
LAST-MODIFIED:20260601T083911Z
UID:10000325-1607612400-1607644740@wasp-sweden.org
SUMMARY:Autonomous Vehicle Maneuvering at the Limit of Friction
DESCRIPTION:Title: Autonomous Vehicle Maneuvering at the Limit of Friction\nRespondent: Victor Fors\nDivision: Vehicular Systems at the Department of Electrical Engineering\, Linköping University\nSupervisors: Lars Nielsen\, Björn Olofsson\, Jan Åslund\nOpponent: Professor J. Christian Gerdes\, Department of Mechanical Engineering\, Stanford University\, CA\, US\nDate and time: 2020-12-10\, 15:00\nPlace: Online via Zoom (can be viewed in Ada Lovelace\, B-building\, Campus Valla\, Linköping University) \nJoin Zoom Meeting https://liu-se.zoom.us/j/65015486154?pwd=eFhNMHFkcTNMOGNNQ1NZUWplV3MvZz09 \nAbstract: \nWithout a driver to fall back on\, a fully self-driving car needs to be able to handle any situation it can encounter. With the perspective of future safety systems\, this research studies autonomous maneuvering at the tire–road friction limit. In these situations\, the dynamics is highly nonlinear\, and the tire–road parameters are uncertain. \nTo gain insights into the optimal behavior of autonomous safety-critical maneuvers\, they are analyzed using optimal control. Since analytical solutions of the studied optimal control problems are intractable\, they are solved numerically. An optimization formulation reveals how the optimal behavior is influenced by the total amount of braking. By studying how the optimal trajectory relates to the attainable forces throughout a maneuver\, it is found that maximizing the force in a certain direction is important. This is like the analytical solutions obtained for friction-limited particle models in earlier research\, and it is shown to result in vehicle behavior close to the optimal also for a more complex model. \nBased on the insights gained from the optimal behavior\, controllers for autonomous safety maneuvers are developed. These controllers are based on using acceleration-vector references obtained from friction-limited particle models. Exploiting that the individual tire forces tend to be close to their friction limits\, the desired tire slip angles are determined for a given acceleration-vector reference. This results in controllers capable of operating at the limit of friction at a low computational cost and reduces the number of vehicle parameters used. For straight-line braking\, ABS can intervene to reduce the braking distance without prior information about the road friction. Inspired by this\, a controller that uses the available actuation according to the least friction necessary to avoid a collision is developed\, resulting in autonomous collision avoidance without any estimation of the tire–road friction. \nInvestigating time-optimal lane changes\, it is found that a simple friction-limited particle model is insufficient to determine the desired acceleration vector\, but including a jerk limit to account for the yaw dynamics is sufficient. To enable a tradeoff between braking and avoidance with a more general obstacle representation\, the acceleration-vector reference is computed in a receding-horizon framework. \nThe controllers developed in this thesis show great promise with low computational cost and performance not far from that obtained offline by using numerical optimization when evaluated in high-fidelity simulation.
URL:https://wasp-sweden.org/event/autonomous-vehicle-maneuvering-at-the-limit-of-friction/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20201130T123000
DTEND;TZID=+01:00:20201201T235900
DTSTAMP:20260601T150727
CREATED:20200206T120505Z
LAST-MODIFIED:20260601T083914Z
UID:10000334-1606739400-1606867140@wasp-sweden.org
SUMMARY:WASP Virtual Industry Meeting 2020
DESCRIPTION:We invite industry\, WASP researchers and WASP PhD students for two virtual days of research ideas exchanges and networking. \nThis is a two-day event with the purpose to identify\, initiate and catalyze exchanges and collaborations between WASP researchers and industry*. \nDay one is devoted to addressing business and industry challenge driven research problems in scientific thematic discussions between WASP researchers and researchers from the industry*. The second day is a job fair where participating companies are invited to sign up for short meetings with WASP PhD students to inspire and engage in career discussions. \n*Swedish Industry with R&D operations in Sweden. \nTimeline\nOctober 1st Registration opens \nOctober 30th Registration deadline\nNovember 6th Participation will be confirmed\nNovember 25th Deadline for industry representatives to book time slots with PhD students (a separate invitation will be sent out during week 47)
URL:https://wasp-sweden.org/event/wasp-virtual-industry-meeting-2020/
LOCATION:Online\, Online\, Other
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2020/02/Industrymeeting_new_virtual_basic.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20201105T100000
DTEND;TZID=+01:00:20201105T235900
DTSTAMP:20260601T150727
CREATED:20200305T115145Z
LAST-MODIFIED:20260601T083913Z
UID:10000331-1604570400-1604620740@wasp-sweden.org
SUMMARY:WASP4ALL 2020 - Virtual Worlds for Artificial Intelligence
DESCRIPTION:Are you looking for WASP4ALL 2021? Click here. \nOur flagship conference WASP4ALL this year presents high-profile international speakers\, and researchers from WASP and Swedish industry on the topic “Virtual Worlds for Artificial Intelligence”. \nTogether we will explore how simulation and artificially generated environments can facilitate machine learning and other AI-development. If you are interested in technology\, methods\, challenges and problems – this is a conference you don’t want to miss! \nThe conference is an open\, virtual conference\, not limited to the WASP community. \nThe number of participants is limited – first come-first serve \n  \n\nWASP\, the Wallenberg AI\, Autonomous Systems and Software Program is the largest research program in Sweden ever. WASP4ALL is our yearly flagship conference with 400+ participants from academia and industry. 
URL:https://wasp-sweden.org/event/wasp4all-2020-virtual-worlds-for-artificial-intelligence/
LOCATION:Online\, Online\, Other
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2020/03/huvudbild_virtual-worlds-for-artificial-intelligence_v2_final.jpg
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20201013T130000
DTEND;TZID=+01:00:20201014T235900
DTSTAMP:20260601T150727
CREATED:20200924T075931Z
LAST-MODIFIED:20260601T083911Z
UID:10000326-1602594000-1602719940@wasp-sweden.org
SUMMARY:First WASP Workshop on Large-Scale Optimization for Autonomy
DESCRIPTION:The First WASP Workshop on Large-Scale Optimization for Autonomy and Learning (LSOAL) will be held October 13-14\, 2020 at KTH. It will be arranged as a hybrid conference\, where those who prefer can attend via a Zoom Webinar. There will be a strict limit on the number of participants on-site. \nWe are looking forward to an exciting workshop where we can exchange ideas on large-scale optimization from theory to applications. The workshop is not limited to autonomy and learning\, but we expect a strong interest in this area. \n  \nWelcome\, \nBo Wahlberg (KTH) and Anders Hansson (LiU) \n\n 
URL:https://wasp-sweden.org/event/first-wasp-workshop-on-large-scale-optimization-for-autonomy/
LOCATION:Online\, Online\, Other
CATEGORIES:Workshop
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20200529T101500
DTEND;TZID=+01:00:20200529T235900
DTSTAMP:20260601T150727
CREATED:20200507T081432Z
LAST-MODIFIED:20260601T083912Z
UID:10000328-1590747300-1590796740@wasp-sweden.org
SUMMARY:Oskar Ljungqvist – Motion Planning and Feedback Control Techniques with Applications to Long Tractor-Trailer Vehicles
DESCRIPTION:Title: Motion planning and feedback control techniques with applications to long tractor-trailer vehicles \nRespondent: Oskar Ljungqvist\, WASP affiliated PhD student \nOpponent: Prof. Sebastien Gros \nSupervisor: Associate Prof. Daniel Axehill \nCo-supervisors: Associate Prof. Johan Löfberg \nPlace: Online via Zoom. Join Zoom Meeting https://liu-se.zoom.us/j/61330592701 Meeting ID: 613 3059 2701 Password: 300553 \nLanguage: English \nAbstract\nDuring the last decades\, improved sensor and hardware technologies as well as new methods and algorithms have made self-driving vehicles a realistic possibility in the near future. At the same time\, there has been a growing demand within the transportation sector to increase efficiency and to reduce the environmental impact related to transportation of people and goods. Therefore\, many leading automotive and technology companies have turned their attention towards developing advanced driver assistance systems and self-driving vehicles. \nAutonomous vehicles are expected to have their first big impact in closed environments\, such as mines\, harbors\, loading and offloading sites. In such areas\, the legal requirements are less restrictive and the surrounding environment is more controlled and predictable compared to urban areas. Expected positive outcomes include increased productivity and safety\, reduced emissions and the possibility to relieve the human from performing complex or dangerous tasks. Within these sites\, tractor-trailer vehicles are frequently used for transportation. These vehicles are composed of several interconnected vehicle segments\, and are therefore large\, complex and unstable while reversing. This thesis addresses the problem of designing efficient motion planning and feedback control techniques for such systems. \nThe contributions of this thesis are within the area of motion planning and feedback control for long tractor-trailer combinations operating at low-speeds in closed and unstructured environments. It includes development of motion planning and feedback control frameworks\, structured design tools for guaranteeing closed-loop stability and experimental validation of the proposed solutions through simulations\, lab and field experiments. Even though the primary application in this work is tractor-trailer vehicles\, many of the proposed approaches can with some adjustments also be used for other systems\, such as drones and ships. \nThe developed sampling-based motion planning algorithms are based upon the probabilistic closed-loop rapidly exploring random tree (CL-RRT) algorithm and the deterministic lattice-based motion planning algorithm. It is also proposed to use numerical optimal control offline for precomputing libraries of optimized maneuvers as well as during online planning in the form of a warm-started optimization step. \nTo follow the motion plan\, several predictive path-following control approaches are proposed with different computational complexity and performance. Common for these approaches are that they use a path-following error model of the vehicle for future predictions and are tailored to operate in series with a motion planner that computes feasible paths. The design strategies for the path-following approaches include linear quadratic (LQ) control and several advanced model predictive control (MPC) techniques to account for physical and sensing limitations. To strengthen the practical value of the developed techniques\, several of the proposed approaches have been implemented and successfully demonstrated in field experiments on a full-scale test platform. To estimate the vehicle states needed for control\, a novel nonlinear observer is evaluated on the full-scale test vehicle. It is designed to only utilize information from sensors that are mounted on the tractor\, making the system independent of any sensor mounted on the trailer.
URL:https://wasp-sweden.org/event/oskar-ljungqvist-motion-planning-and-feedback-control-techniques-with-applications-to-long-tractor-trailer-vehicles/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20200415T133000
DTEND;TZID=+01:00:20200415T235900
DTSTAMP:20260601T150727
CREATED:20200406T130241Z
LAST-MODIFIED:20260601T083913Z
UID:10000330-1586957400-1586995140@wasp-sweden.org
SUMMARY:Rebekka Wohlrab – Living Boundary Objects to Support Agile Inter-Team Coordination at Scale
DESCRIPTION:Context: In the last decades\, large-scale agile development has received increasing attention\, as also organizations with many stakeholders and large systems aim for higher development speed and focus on customer value. A recognized research challenge in large-scale agile development relates to inter-team coordination. To coordinate effectively\, organizations need to identify what knowledge is required across team borders and how it can be managed over time. Knowledge is potentially manifested in boundary objects – artifacts that create a shared understanding between teams (e.g.\, requirements or architecture descriptions). Traceability between artifacts is a key necessity to manage change in agile contexts. Moreover\, agile practitioners aim to reduce the documentation effort to absolutely crucial artifacts and trace links. \nObjective: This thesis aims to improve how practitioners can manage knowledge for inter-team coordination in large-scale agile development. We focus especially on how knowledge can be made explicit in artifacts and trace links that are evolved over time. \nMethod: We empirically investigated problems and developed solutions using a research approach that was inspired by design science. Case studies\, an in-depth design science study\, a mixed methods study\, and surveys were performed. Using this mix of research methods\, we leveraged both qualitative and quantitative data. \nResults: We coined the concept of living boundary objects to manage knowledge for inter-team coordination. Living boundary objects are boundary objects that are traced to other artifacts\, kept up to date\, and serve for inter-team coordination. They should be established early in the lifecycle to create a common understanding of the product to be developed. We scrutinized architecture descriptions\, interfaces\, and requirements and traceability information models as examples of concrete boundary objects. We recommend establishing alignment using a common high-level structure\, but also supporting diverse knowledge management practices to fulfill the individual needs of agile teams. \nConclusions: Our contributions help to establish knowledge management practices that are considered beneficial by practitioners and focus on the crucial aspects to align agile teams on. We suggest concepts and requirements for knowledge management tools that take the distinct role of living boundary objects into consideration and can be adjusted as organizations’ needs evolve. \nOriginal location: Online Disputation
URL:https://wasp-sweden.org/event/rebekka-wohlrab-living-boundary-objects-to-support-agile-inter-team-coordination-at-scale/
LOCATION:Online\, Online\, Other
CATEGORIES:Defense
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