activity
20232026
most citedKaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction

4 citations · 5 across the 5 of their papers we have counts for

collaborators

7 papers

cs.RO2026

OccluDex: Hierarchical 3D Visuo-Tactile Representation Learning for Egocentric Dexterous Manipulation under Self-Occlusion

Ziheng Xu, Yueyuan Chen, Xinyuan He +6

Reliable dexterous manipulation requires continuous estimation of object geometry and hand-object contact throughout interaction. With egocentric sensing, however, the manipulating…

eess.IV2026

Mixtac: A Novel Bio-Inspired Hybrid Tactile Sensor with Synergistic Event-Frame Perception

Yihang Li, Yijin Chen, Junkai Xu +4

Vision based and event based tactile sensors are important in robotic manipulation research. However, they suffer from a fundamental tradeoff: vision based sensors have low samplin…

cs.RO2025★ 4 cited

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…

cs.RO2024★ 1 cited

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…

cs.RO2023

A Survey on Robotic Manipulation of Deformable Objects: Recent Advances, Open Challenges and New Frontiers

Feida Gu, Yanmin Zhou, Zhipeng Wang +2

Deformable object manipulation (DOM) for robots has a wide range of applications in various fields such as industrial, service and health care sectors. However, compared to manipul…

cs.RO2023

Robot Learning in the Era of Foundation Models: A Survey

Xuan Xiao, Jiahang Liu, Zhipeng Wang +5

The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning from automation towards general embodied Artificial Intelligence (AI). Adopting foundation…

q-bio.QM2023

Synthetic IMU Datasets and Protocols Can Simplify Fall Detection Experiments and Optimize Sensor Configuration

Jie Tang, Bin He, Junkai Xu +4

Falls represent a significant cause of injury among the elderly population. Extensive research has been devoted to the utilization of wearable IMU sensors in conjunction with machi…