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…
Multitask Reinforcement Learning for Quadcopter Attitude Stabilization and Tracking using Graph Policy
Yu Tang Liu, Afonso Vale, Aamir Ahmad +2
Quadcopter attitude control involves two tasks: smooth attitude tracking and aggressive stabilization from arbitrary states. Although both can be formulated as tracking problems, t…
Task and Domain Adaptive Reinforcement Learning for Robot Control
Yu Tang Liu, Nilaksh Singh, Aamir Ahmad
Deep reinforcement learning (DRL) has shown remarkable success in simulation domains, yet its application in designing robot controllers remains limited, due to its single-task ori…
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition
Yu Tang Liu, Aamir Ahmad
Deep reinforcement learning (DRL) frameworks are increasingly used to solve high-dimensional continuous control tasks in robotics. However, due to the lack of sample efficiency, ap…