activity
20202026
most citedLearning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency

4 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Heracles: Bridging Precise Tracking and Generative Synthesis for General Humanoid Control

Zelin Tao, Zeran Su, Peiran Liu +13

Achieving general-purpose humanoid control requires a delicate balance between the precise execution of commanded motions and the flexible, anthropomorphic adaptability needed to r…

cs.RO2026

DRIFT: Diffusion-based Rule-Inferred For Trajectories

Jinyang Zhao, Handong Zheng, Yanjiu Zhong +3

Trajectory generation for mobile robots in unstructured environments faces a critical dilemma: balancing kinematic smoothness for safe execution with terminal precision for fine-gr…

cs.RO2025

EgoDemoGen: Egocentric Demonstration Generation for Viewpoint Generalization in Robotic Manipulation

Yuan Xu, Jiabing Yang, Xiaofeng Wang +16

Imitation learning based visuomotor policies have achieved strong performance in robotic manipulation, yet they often remain sensitive to egocentric viewpoint shifts. Unlike third-…

cs.RO2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing

Qiang Zhang, Yunzhu Li, Yiyue Luo +6

Tactile sensing is critical for humans to perform everyday tasks. While significant progress has been made in analyzing object grasping from vision, it remains unclear how we can u…

cs.RO2020★ 4 cited

Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency

Qiang Zhang, Tete Xiao, Alexei A. Efros +2

At the heart of many robotics problems is the challenge of learning correspondences across domains. For instance, imitation learning requires obtaining correspondence between human…

cs.CV2020

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

Kelvin Wong, Qiang Zhang, Ming Liang +4

We present a novel method for testing the safety of self-driving vehicles in simulation. We propose an alternative to sensor simulation, as sensor simulation is expensive and has l…