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pro vyhledávání: '"Jonnavittula, Ananth"'
Autor:
Jonnavittula, Ananth
As robots transition from controlled environments, such as industrial settings, to more dynamic and unpredictable real-world applications, the need for adaptable and robust learning methods becomes paramount. In this dissertation we develop Interacti
Externí odkaz:
https://hdl.handle.net/10919/120552
Robots can use Visual Imitation Learning (VIL) to learn everyday tasks from video demonstrations. However, translating visual observations into actionable robot policies is challenging due to the high-dimensional nature of video data. This challenge
Externí odkaz:
http://arxiv.org/abs/2404.17906
Assistive robot arms try to help their users perform everyday tasks. One way robots can provide this assistance is shared autonomy. Within shared autonomy, both the human and robot maintain control over the robot's motion: as the robot becomes confid
Externí odkaz:
http://arxiv.org/abs/2205.09795
Autor:
Jonnavittula, Ananth, Losey, Dylan P.
When humans control robot arms these robots often need to infer the human's desired task. Prior research on assistive teleoperation and shared autonomy explores how robots can determine the desired task based on the human's joystick inputs. In order
Externí odkaz:
http://arxiv.org/abs/2202.11140
Autor:
Jonnavittula, Ananth, Losey, Dylan P.
Wheelchair-mounted robotic arms (and other assistive robots) should help their users perform everyday tasks. One way robots can provide this assistance is shared autonomy. Within shared autonomy, both the human and robot maintain control over the rob
Externí odkaz:
http://arxiv.org/abs/2107.09650
Robots can learn from humans by asking questions. In these questions the robot demonstrates a few different behaviors and asks the human for their favorite. But how should robots choose which questions to ask? Today's robots optimize for informative
Externí odkaz:
http://arxiv.org/abs/2107.01995
Autor:
Jonnavittula, Ananth, Losey, Dylan P.
Assistive robots have the potential to help people perform everyday tasks. However, these robots first need to learn what it is their user wants them to do. Teaching assistive robots is hard for inexperienced users, elderly users, and users living wi
Externí odkaz:
http://arxiv.org/abs/2011.06118
Publikováno v:
ACM Transactions on Human-Robot Interaction; Jun2024, Vol. 13 Issue 2, p1-36, 36p
Publikováno v:
ACM Transactions on Human-Robot Interaction; Dec2022, Vol. 11 Issue 4, p1-28, 28p