Zobrazeno 1 - 10
of 155
pro vyhledávání: '"TÖRNGREN, MARTIN"'
This study focuses on the locomotion capability improvement in a tendon-driven soft quadruped robot through an online adaptive learning approach. Leveraging the inverse kinematics model of the soft quadruped robot, we employ a central pattern generat
Externí odkaz:
http://arxiv.org/abs/2406.07065
As simulation is increasingly used in scenario-based approaches to test Automated Driving Systems, the credibility of simulation results is a major concern. Arguably, credibility depends on the validity of the simulation setup and simulation models.
Externí odkaz:
http://arxiv.org/abs/2404.19356
Autor:
Sánchez, José Manuel Gaspar, Bruns, Leonard, Tumova, Jana, Jensfelt, Patric, Törngren, Martin
Autonomous agents rely on sensor data to construct representations of their environments, essential for predicting future events and planning their actions. However, sensor measurements suffer from limited range, occlusions, and sensor noise. These c
Externí odkaz:
http://arxiv.org/abs/2401.06518
Publikováno v:
In Applied Soft Computing January 2025 169
Industry is moving towards advanced Cyber-Physical Systems (CPS), with trends in smartness, automation, connectivity and collaboration. We examine the drivers and requirements for the use of edge computing in critical industrial applications. Our pur
Externí odkaz:
http://arxiv.org/abs/2201.00242
Autor:
Sánchez, José Manuel Gaspar, Jörgensen, Nils, Törngren, Martin, Inam, Rafia, Berezovskyi, Andrii, Feng, Lei, Fersman, Elena, Ramli, Muhammad Rusyadi, Tan, Kaige
Edge computing is projected to have profound implications in the coming decades, proposed to provide solutions for applications such as augmented reality, predictive functionalities, and collaborative Cyber-Physical Systems (CPS). For such applicatio
Externí odkaz:
http://arxiv.org/abs/2112.00619
Autor:
Zhang, Xinhai, Tao, Jianbo, Tan, Kaige, Törngren, Martin, Sánchez, José Manuel Gaspar, Ramli, Muhammad Rusyadi, Tao, Xin, Gyllenhammar, Magnus, Wotawa, Franz, Mohan, Naveen, Nica, Mihai, Felbinger, Hermann
Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driving environment, and the complexity of the driving task itself, the nu
Externí odkaz:
http://arxiv.org/abs/2110.08664
Autor:
Perssonb, Magnus, Loiret, Frédéric, Westman, Jonas, Chen, De-Jiu, Törngren, Martin, Biehl, Matthias
In this report, we present a concept for generic multi-viewed component models based on modular and (de)composable viewpoints. By decomposing systems not only along component but also viewpoint borders, a family of multi-viewed component models is pr
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122486
Autor:
Persson, Magnus, Bonnet, Stéphane, Mitschke, Andreas, Törngren, Martin, Laurent, Odile, Chen, De-Jiu, Shawky, Marcus
Architecture exploration is increasingly important as a design approach for embeddedsystems. In this paper, we present an architecture exploration methodology especiallysuited for multi-viewpoint systems, based on 8 different key tasks: preparation,
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122482
Autor:
Svensson, Lars, Törngren, Martin
Traction adaptive motion planning and control has potential to improve an an automated vehicle's ability to avoid accident in a critical situation. However, such functionality require an accurate friction estimate for the road ahead of the vehicle th
Externí odkaz:
http://arxiv.org/abs/2105.06692