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pro vyhledávání: '"Kalinowska, Aleksandra"'
Autor:
Kalinowska, Aleksandra, Davoodi, Elnaz, Strub, Florian, Mathewson, Kory W, Kajic, Ivana, Bowling, Michael, Murphey, Todd D, Pilarski, Patrick M
While it is known that communication facilitates cooperation in multi-agent settings, it is unclear how to design artificial agents that can learn to effectively and efficiently communicate with each other. Much research on communication emergence us
Externí odkaz:
http://arxiv.org/abs/2211.01480
Publikováno v:
International Conference on Robotics and Automation, 2021
With growing access to versatile robotics, it is beneficial for end users to be able to teach robots tasks without needing to code a control policy. One possibility is to teach the robot through successful task executions. However, near-optimal demon
Externí odkaz:
http://arxiv.org/abs/2103.17098
Autor:
Kalinowska, Aleksandra, Rudy, Kyra, Schlafly, Millicent, Fitzsimons, Kathleen, Dewald, Julius P, Murphey, Todd D
Publikováno v:
IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2020
Individuals post stroke experience motor impairments, such as loss of independent joint control, leading to an overall reduction in arm function. Their motion becomes slower and more discoordinated, making it difficult to complete timing-sensitive ta
Externí odkaz:
http://arxiv.org/abs/2007.04778
Despite the fact that robotic platforms can provide both consistent practice and objective assessments of users over the course of their training, there are relatively few instances where physical human robot interaction has been significantly more e
Externí odkaz:
http://arxiv.org/abs/1911.07983
Publikováno v:
International Conference on Robotics and Automation, 2019
Hybrid systems, such as bipedal walkers, are challenging to control because of discontinuities in their nonlinear dynamics. Little can be predicted about the systems' evolution without modeling the guard conditions that govern transitions between hyb
Externí odkaz:
http://arxiv.org/abs/1903.00036
Publikováno v:
Robotics: Science and Systems (RSS), 2018
We propose a novel criterion for evaluating user input for human-robot interfaces for known tasks. We use the mode insertion gradient (MIG)---a tool from hybrid control theory---as a filtering criterion that instantaneously assesses the impact of use
Externí odkaz:
http://arxiv.org/abs/1806.02425
Akademický článek
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Publikováno v:
Media Studies / Studia Medioznawcze; 2023, Vol. 24 Issue 4, p21-49, 29p
Akademický článek
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