Zobrazeno 1 - 10
of 5 102
pro vyhledávání: '"A. Losey"'
Autor:
Sanchez, Robert Ramirez, Nemlekar, Heramb, Sagheb, Shahabedin, Nunez, Cara M., Losey, Dylan P.
Imitation learning enables robots to learn new tasks from human examples. One current fundamental limitation while learning from humans is causal confusion. Causal confusion occurs when the robot's observations include both task-relevant and extraneo
Externí odkaz:
http://arxiv.org/abs/2409.13607
A human interacting with a robot often forms predictions of what the robot will do next. For instance, based on the recent behavior of an autonomous car, a nearby human driver might predict that the car is going to remain in the same lane. It is impo
Externí odkaz:
http://arxiv.org/abs/2409.13533
Autor:
Mehta, Shaunak A., Ciftci, Yusuf Umut, Ramachandran, Balamurugan, Bansal, Somil, Losey, Dylan P.
Behavior cloning is a common imitation learning paradigm. Under behavior cloning the robot collects expert demonstrations, and then trains a policy to match the actions taken by the expert. This works well when the robot learner visits states where t
Externí odkaz:
http://arxiv.org/abs/2408.06246
Robots should personalize how they perform tasks to match the needs of individual human users. Today's robot achieve this personalization by asking for the human's feedback in the task space. For example, an autonomous car might show the human two di
Externí odkaz:
http://arxiv.org/abs/2407.16081
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
Autor:
Keely, Maya, Kim, Yeunhee, Mehta, Shaunak A., Hoegerman, Joshua, Sanchez, Robert Ramirez, Paul, Emily, Mills, Camryn, Losey, Dylan P., Bartlett, Michael D.
For robot arms to perform everyday tasks in unstructured environments, these robots must be able to manipulate a diverse range of objects. Today's robots often grasp objects with either soft grippers or rigid end-effectors. However, purely rigid or p
Externí odkaz:
http://arxiv.org/abs/2404.13755
Robot arms should be able to learn new tasks. One framework here is reinforcement learning, where the robot is given a reward function that encodes the task, and the robot autonomously learns actions to maximize its reward. Existing approaches to rei
Externí odkaz:
http://arxiv.org/abs/2403.13281
Assistive robot arms can help humans by partially automating their desired tasks. Consider an adult with motor impairments controlling an assistive robot arm to eat dinner. The robot can reduce the number of human inputs -- and how precise those inpu
Externí odkaz:
http://arxiv.org/abs/2403.12023
Robots often need to convey information to human users. For example, robots can leverage visual, auditory, and haptic interfaces to display their intent or express their internal state. In some scenarios there are socially agreed upon conventions for
Externí odkaz:
http://arxiv.org/abs/2403.07192
Assistive robot arms have the potential to help disabled or elderly adults eat everyday meals without relying on a caregiver. To provide meaningful assistance, these robots must reach for food items, pick them up, and then carry them to the human's m
Externí odkaz:
http://arxiv.org/abs/2403.05784