3 papers
cs.RO2025
A Reactive Framework for Whole-Body Motion Planning of Mobile Manipulators Combining Reinforcement Learning and SDF-Constrained Quadratic Programmi
Chenyu Zhang, Shiying Sun, Kuan Liu +4
As an important branch of embodied artificial intelligence, mobile manipulators are increasingly applied in intelligent services, but their redundant degrees of freedom also limit…
cs.RO2024
A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators
Jianzhuang Zhao, Francesco Tassi, Yanlong Huang +2
Humans' ability to smoothly switch between locomotion and manipulation is a remarkable feature of sensorimotor coordination. Leaning and replication of such human-like strategies c…
cs.RO2023
Auto-LfD: Towards Closing the Loop for Learning from Demonstrations
Shaokang Wu, Yijin Wang, Yanlong Huang
Over the past few years, there have been numerous works towards advancing the generalization capability of robots, among which learning from demonstrations (LfD) has drawn much att…