Zobrazeno 1 - 10
of 410
pro vyhledávání: '"Marc Toussaint"'
Autor:
Samuel Leder, HyunGyu Kim, Ozgur Salih Oguz, Nicolas Kubail Kalousdian, Valentin Noah Hartmann, Achim Menges, Marc Toussaint, Metin Sitti
Publikováno v:
Advanced Science, Vol 9, Iss 24, Pp n/a-n/a (2022)
Abstract Although collective robotic construction systems are beginning to showcase how multi‐robot systems can contribute to building construction by efficiently building low‐cost, sustainable structures, the majority of research utilizes non‐
Externí odkaz:
https://doaj.org/article/8d7a24d62962465f8b9af9e71f8002e9
Publikováno v:
IEEE Robotics and Automation Letters. 7:10518-10525
Robotic planning in real-world scenarios typically requires joint optimization of logic and continuous variables. A core challenge to combine the strengths of logic planners and continuous solvers is the design of an efficient interface that informs
Publikováno v:
IEEE Robotics and Automation Letters. 7:10857-10864
Manipulation planning is the problem of finding a sequence of robot configurations that involves interactions with objects in the scene, e.g., grasping and placing an object, or more general tool-use. To achieve such interactions, traditional approac
Autor:
Isabell Wochner, Danny Driess, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Human arm movements are highly stereotypical under a large variety of experimental conditions. This is striking due to the high redundancy of the human musculoskeletal system, which in principle allows many possible trajectories toward a goal. Many r
Externí odkaz:
https://doaj.org/article/f1c25a84b6784c44b0e345e5fc3f87b3
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:279-287
Robots operating in the real world must combine task planning for reasoning about what to do with motion planning for reasoning about how to do it -- this is known as task and motion planning. One promising approach for task and motion planning is Lo
Autor:
Constantinos Chamzas, Carlos Quintero-Pena, Zachary Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki
Publikováno v:
IEEE Robotics and Automation Letters. 7:882-889
Recently, there has been a wealth of development in motion planning for robotic manipulation new motion planners are continuously proposed, each with their own unique strengths and weaknesses. However, evaluating new planners is challenging and resea
Autor:
Marc Toussaint, Andreas Orthey
Publikováno v:
IEEE Transactions on Robotics. 37:1891-1905
Sampling-based planning methods often become inefficient due to narrow passages. Narrow passages induce a higher runtime, because the chance to sample them becomes vanishingly small. In recent work, we showed that narrow passages can be approached by
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
How do humans want to interact with collaborative robots? As robots become more common and useful not only in industry but also in the home, they will need to interact with humans to complete many varied tasks. Previous studies have demonstrated that
Externí odkaz:
https://doaj.org/article/742f14f151214b3cb511caccda211cb4
Publikováno v:
PLoS ONE, Vol 13, Iss 6, p e0197803 (2018)
How to run most effectively to catch a projectile, such as a baseball, that is flying in the air for a long period of time? The question about the best solution to the ball catching problem has been subject to intense scientific debate for almost 50
Externí odkaz:
https://doaj.org/article/6e49135fd2af45368f0b057ff63b6077