7 papers
A Tactile-based Interactive Motion Planner for Robots in Unknown Cluttered Environments
Chengjin Wang, Yanmin Zhou, Zheng Yan +5
In unknown cluttered environments with densely stacked objects, the free-motion space is extremely barren, posing significant challenges to motion planners. Collision-free planning…
Morphogenetic Assembly and Adaptive Control for Heterogeneous Modular Robots
Chongxi Meng, Da Zhao, Yifei Zhao +4
This paper presents a closed-loop automation framework for heterogeneous modular robots, covering the full pipeline from morphological construction to adaptive control. In this fra…
HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction Environments
Chenhui Dong, Haozhe Xu, Wenhao Feng +4
Reinforcement learning (RL) controllers have made impressive progress in humanoid locomotion and light-weight object manipulation. However, achieving robust and precise motion cont…
Safety Control of Service Robots with LLMs and Embodied Knowledge Graphs
Yong Qi, Gabriel Kyebambo, Siyuan Xie +6
Safety limitations in service robotics across various industries have raised significant concerns about the need for robust mechanisms ensuring that robots adhere to safe practices…
Learning Efficient Robotic Garment Manipulation with Standardization
Changshi Zhou, Feng Luan, Jiarui Hu +5
Garment manipulation is a significant challenge for robots due to the complex dynamics and potential self-occlusion of garments. Most existing methods of efficient garment unfoldin…
Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction
Shuo Jiang, Haonan Li, Ruochen Ren +3
Cutting-edge robot learning techniques including foundation models and imitation learning from humans all pose huge demands on large-scale and high-quality datasets which constitut…