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X-ORIGINAL-URL:https://wasp-sweden.org
X-WR-CALDESC:Events for WASP
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DTSTART;TZID=+01:00:20201105T100000
DTEND;TZID=+01:00:20201105T235900
DTSTAMP:20260601T155815
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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DTSTART;TZID=+01:00:20201013T130000
DTEND;TZID=+01:00:20201014T235900
DTSTAMP:20260601T155815
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:20260601T155815
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:20260601T155815
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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