8 citations · 10 across the 5 of their papers we have counts for
4 papers · 1 filter
Adaptor: Advancing Assistive Teleoperation with Few-Shot Learning and Cross-Operator Generalization
Yu Liu, Yihang Yin, Tianlv Huang +8
Assistive teleoperation enhances efficiency via shared control, yet inter-operator variability, stemming from diverse habits and expertise, induces highly heterogeneous trajectory…
Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills
Tong Zhou, Letian Wang, Ruobing Chen +2
Efficient and effective exploration in continuous space is a central problem in applying reinforcement learning (RL) to autonomous driving. Skills learned from expert demonstration…
Deep Residual Reinforcement Learning based Autonomous Blimp Control
Yu Tang Liu, Eric Price, Michael J. Black +1
Blimps are well suited to perform long-duration aerial tasks as they are energy efficient, relatively silent and safe. To address the blimp navigation and control task, in previous…
Autonomous Blimp Control using Deep Reinforcement Learning
Yu Tang Liu, Eric Price, Pascal Goldschmid +2
Aerial robot solutions are becoming ubiquitous for an increasing number of tasks. Among the various types of aerial robots, blimps are very well suited to perform long-duration tas…