Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Cangan, Barnabas Gavin"'
Autor:
Tian, Sizhe, Cangan, Barnabas Gavin, Navarro, Stefan Escaida, Beger, Artem, Duriez, Christian, Katzschmann, Robert K.
We address the challenge of reliable and accurate proprioception in soft robots, specifically those with tight packaging constraints and relying only on internally embedded sensors. While various sensing approaches with single sensors have been tried
Externí odkaz:
http://arxiv.org/abs/2311.14566
Autor:
Gürtler, Nico, Widmaier, Felix, Sancaktar, Cansu, Blaes, Sebastian, Kolev, Pavel, Bauer, Stefan, Wüthrich, Manuel, Wulfmeier, Markus, Riedmiller, Martin, Allshire, Arthur, Wang, Qiang, McCarthy, Robert, Kim, Hangyeol, Baek, Jongchan, Kwon, Wookyong, Qian, Shanliang, Toshimitsu, Yasunori, Michelis, Mike Yan, Kazemipour, Amirhossein, Raayatsanati, Arman, Zheng, Hehui, Cangan, Barnabas Gavin, Schölkopf, Bernhard, Martius, Georg
Experimentation on real robots is demanding in terms of time and costs. For this reason, a large part of the reinforcement learning (RL) community uses simulators to develop and benchmark algorithms. However, insights gained in simulation do not nece
Externí odkaz:
http://arxiv.org/abs/2308.07741
Autor:
Toshimitsu, Yasunori, Forrai, Benedek, Cangan, Barnabas Gavin, Steger, Ulrich, Knecht, Manuel, Weirich, Stefan, Katzschmann, Robert K.
Publikováno v:
2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), Austin, TX, USA, 2023, pp. 1-7
Biomimetic, dexterous robotic hands have the potential to replicate much of the tasks that a human can do, and to achieve status as a general manipulation platform. Recent advances in reinforcement learning (RL) frameworks have achieved remarkable pe
Externí odkaz:
http://arxiv.org/abs/2308.02453
Publikováno v:
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 6395-6402
In a future with autonomous robots, visual and spatial perception is of utmost importance for robotic systems. Particularly for aerial robotics, there are many applications where utilizing visual perception is necessary for any real-world scenarios.
Externí odkaz:
http://arxiv.org/abs/2211.13093
Autor:
Zheng, Hehui, Pinzello, Sebastian, Cangan, Barnabas Gavin, Buchner, Thomas, Katzschmann, Robert K.
The precise control of soft and continuum robots requires knowledge of their shape. The shape of these robots has, in contrast to classical rigid robots, infinite degrees of freedom. To partially reconstruct the shape, proprioceptive techniques use b
Externí odkaz:
http://arxiv.org/abs/2211.05222
Model-Based Disturbance Estimation for a Fiber-Reinforced Soft Manipulator using Orientation Sensing
Autor:
Cangan, Barnabas Gavin, Navarro, Stefan Escaida, Yang, Bai, Zhang, Yu, Duriez, Christian, Katzschmann, Robert K.
For soft robots to work effectively in human-centered environments, they need to be able to estimate their state and external interactions based on (proprioceptive) sensors. Estimating disturbances allows a soft robot to perform desirable force contr
Externí odkaz:
http://arxiv.org/abs/2206.11626
Autor:
Cangan, Barnabas Gavin
We introduce a framework that would enable using autonomous aerial vehicles in search and rescue scenarios associated with missing person incidents to assist human searchers. We formulate a lost person behavior model and a human searcher model inform
Externí odkaz:
http://hdl.handle.net/10919/91444
Autor:
Cangan, Barnabas Gavin, Heintzman, Larkin, Hashimoto, Amanda, Abaid, Nicole, Williams, Ryan K.
In this work, our goal is to extend the existing search and rescue paradigm by allowing teams of autonomous unmanned aerial vehicles (UAVs) to collaborate effectively with human searchers on the ground. We derive a framework that includes a simulated
Externí odkaz:
http://arxiv.org/abs/2009.03976
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Akademický článek
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