activity
20222026
most citedLearn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions

24 citations · 29 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Shared Autonomy Assisted by Impedance-Driven Anisotropic Guidance Field

Sihan Chen, Hang Xu, Yupu Lu +4

Shared autonomy (SA) enables robots to infer human intent and assist in its achievement. While most research focuses on improving intent inference, it overlooks whether humans can…

cs.CV2024★ 2 cited

Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning

Zeqing Zhang, Guangze Zheng, Xuebo Ji +6

Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require ded…

cs.RO2024

A Haptic-Based Proximity Sensing System for Buried Object in Granular Material

Zeqing Zhang, Ruixing Jia, Youcan Yan +5

The proximity perception of objects in granular materials is significant, especially for applications like minesweeping. However, due to particles' opacity and complex properties,…

cs.RO2024

Signage-Aware Exploration in Open World using Venue Maps

Chang Chen, Liang Lu, Lei Yang +4

Current exploration methods struggle to search for shops or restaurants in unknown open-world environments due to the lack of prior knowledge. Humans can leverage venue maps that o…

cs.RO2024

Language-Augmented Symbolic Planner for Open-World Task Planning

Guanqi Chen, Lei Yang, Ruixing Jia +5

Enabling robotic agents to perform complex long-horizon tasks has been a long-standing goal in robotics and artificial intelligence (AI). Despite the potential shown by large langu…

cs.RO2023★ 3 cited

GRAINS: Proximity Sensing of Objects in Granular Materials

Zeqing Zhang, Ruixing Jia, Youcan Yan +5

Proximity sensing detects an object's presence without contact. However, research has rarely explored proximity sensing in granular materials (GM) due to GM's lack of visual and co…

cs.CV2022★ 24 cited

Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions

Weilin Wan, Lei Yang, Lingjie Liu +7

Understanding human intentions during interactions has been a long-lasting theme, that has applications in human-robot interaction, virtual reality and surveillance. In this study,…

cs.RO2022

Visual-Tactile Sensing for Real-time Liquid Volume Estimation in Grasping

Fan Zhu, Ruixing Jia, Lei Yang +4

We propose a deep visuo-tactile model for realtime estimation of the liquid inside a deformable container in a proprioceptive way.We fuse two sensory modalities, i.e., the raw visu…