activity
20242026
most citedLearning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction

1 citations · 1 across the 8 of their papers we have counts for

collaborators

11 papers

cs.AI2026

From Surfaces to Volumes: Registered Geometry for Protein Representation Learning

Siyuan Chen, Cai Zhou, Jinrui Zhang +8

Existing protein geometry models typically represent molecular surfaces using local geometric features such as sampled points, normals, and curvature. While effective for capturing…

cs.RO2026

DiagGen: Agentic Generation of Deformable Assets with Sim-based Diagnostics for Robotic Simulation

Guanxiong Chen, Yiduo Qu, Qianjun Xia +12

While simulation-ready deformable assets are essential for in-silico robotic manipulation tasks, existing generation frameworks typically assess physical plausibility after generat…

cs.RO2026

WorldContact: A Contact-Centric World Model for Scalable Robot Learning

Caoliwen Wang, Mengdi Wang, Heng Zhang +7

Adapting robots to new objects and tasks requires interaction experience that can be costly to obtain. We present WorldContact, a contact-centric world model for deformable-object…

cs.RO2026

Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents

Guanxiong Chen, Qianjun Xia, Jiawei Peng +24

Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more than visual reconstruction: a streamlined real2sim process must recover…

cs.RO2026

NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception

Zhiyang Dou, John U. Onyemelukwe, Hangxing Zhang +9

Differentiable simulators have advanced policy learning and model-based control across robotic tasks. Yet actuator dynamics remain underexplored and can be a major source of sim-to…

cs.GR2026

WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer

Caoliwen Wang, Minghao Guo, Siyuan Chen +13

A unified simulator that can model diverse physical phenomena without solver-specific redesign is a long-standing goal across simulation science. We present a learning-based partic…

cs.GR2026

M-ABD: Scalable, Efficient, and Robust Multi-Affine-Body Dynamics

Zhiyong He, Dewen Guo, Minghao Guo +6

Simulating large-scale articulated assemblies poses a significant challenge due to the numerical stiffness and geometric complexity of jointed structures. Conventional rigid body s…

q-bio.BM2025

Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection

Siyuan Chen, Minghao Guo, Caoliwen Wang +6

Biomolecular interaction modeling has been substantially advanced by foundation models, yet they often produce all-atom structures that violate basic steric feasibility. We address…

cs.GR2025

Graphics4Science: Computer Graphics for Scientific Impacts

Peter Yichen Chen, Minghao Guo, Hanspeter Pfister +5

Computer graphics, often associated with films, games, and visual effects, has long been a powerful tool for addressing scientific challenges--from its origins in 3D visualization…

cs.RO2025

AI-Enhanced Automatic Design of Efficient Underwater Gliders

Peter Yichen Chen, Pingchuan Ma, Niklas Hagemann +4

The development of novel autonomous underwater gliders has been hindered by limited shape diversity, primarily due to the reliance on traditional design tools that depend heavily o…

cs.RO2024★ 1 cited

Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction

Peter Yichen Chen, Chao Liu, Pingchuan Ma +5

Differentiable simulation has become a powerful tool for system identification. While prior work has focused on identifying robot properties using robot-specific data or object pro…