activity
20212026
most citedUnderstanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning

2 citations · 5 across the 12 of their papers we have counts for

collaborators

14 papers

cs.RO2026

Decompose and Reorganize: Planning with Primitives and Visuomotor Policies Learned from Demonstrations

Yizhou Chen, Hang Xu, Dongjie Yu +7

Successfully automating dexterous, long-horizon robotic manipulation requires frameworks capable of both high-level reasoning and fine-grained execution. Traditional task and motio…

cs.RO2026

Dynamic Resilient Spatio-Semantic Memory with Hybrid Localization for Mobile Manipulation

Zhijie Yan, Shufei Li, Ze Zhang +3

Reliable mobile manipulation in dynamic indoor environments requires a scene representation that remains geometrically consistent, semantically queryable, and computationally bound…

cs.RO2026

World Models for Robotic Manipulation: A Survey

Fangyuan Wang, Ziyuan Wang, Guorui Pei +15

Robotic manipulation depends on the ability to anticipate how actions reshape objects, contacts, and scene geometry before execution. Learned world models provide this capability b…

cs.RO2025

Collaborative Assembly Policy Learning of a Sightless Robot

Zeqing Zhang, Weifeng Lu, Lei Yang +3

This paper explores a physical human-robot collaboration (pHRC) task involving the joint insertion of a board into a frame by a sightless robot and a human operator. While admittan…

cs.LG2025

Lyapunov Stability Learning with Nonlinear Control via Inductive Biases

Yupu Lu, Shijie Lin, Hao Xu +2

Finding a control Lyapunov function (CLF) in a dynamical system with a controller is an effective way to guarantee stability, which is a crucial issue in safety-concerned applicati…

cs.RO2025

A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition

Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans +59

Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a bench…

cs.RO2025

SViP: Sequencing Bimanual Visuomotor Policies with Object-Centric Motion Primitives

Yizhou Chen, Hang Xu, Dongjie Yu +3

Imitation learning (IL), particularly when leveraging high-dimensional visual inputs for policy training, has proven intuitive and effective in complex bimanual manipulation tasks.…

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.CV2024★ 2 cited

EROAM: Event-based Camera Rotational Odometry and Mapping in Real-time

Wanli Xing, Shijie Lin, Linhan Yang +6

This paper presents EROAM, a novel event-based rotational odometry and mapping system that achieves real-time, accurate camera rotation estimation. Unlike existing approaches that…

cs.RO2024

One Fling to Goal: Environment-aware Dynamics for Goal-conditioned Fabric Flinging

Linhan Yang, Lei Yang, Haoran Sun +5

Fabric manipulation dynamically is commonly seen in manufacturing and domestic settings. While dynamically manipulating a fabric piece to reach a target state is highly efficient,…

cs.RO2024

NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning

Ruihua Han, Shuai Wang, Shuaijun Wang +8

Navigating a nonholonomic robot in a cluttered, unknown environment requires accurate perception and precise motion control for real-time collision avoidance. This paper presents N…

cs.RO2024

CafkNet: GNN-Empowered Forward Kinematic Modeling for Cable-Driven Parallel Robots

Zeqing Zhang, Linhan Yang, Cong Sun +2

Cable-driven parallel robots (CDPRs) have gained significant attention due to their promising advantages. When deploying CDPRs in practice, the kinematic modeling is a key question…

cs.RO2021★ 1 cited

An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution

Yajue Yang, Zeqing Zhang, Yuanqing Wu +1

The general inverse kinematics (IK) problem of a manipulator, namely that of acquiring the self-motion manifold (SMM) of all admissible joint angles for a desired end-effector pose…