works on

From the 1 of 8 linked papers with an AI index.

activity
20242026
collaborators

8 papers

cs.RO2026

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment

XPolicyLab Community, Tianxing Chen, Yue Chen +65

Robot policy evaluation and deployment remain fragmented by model-specific software dependencies, data representations, and runtime interfaces, so that connecting N policies to M e…

cs.RO2026

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels

Xinyu Yang, Tianxing Chen, Honghao Su +38

The paper proposes a layered systems framework for achieving trustworthy embodied intelligence, defining trustworthiness as sustained safe success and introducing graded trustworth…

cs.RO2026

RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies

Tianxing Chen, Yue Chen, Zixuan Li +41

Generalist robot manipulation policies have advanced rapidly, yet existing benchmarks remain limited in systematically evaluating their capabilities. Many rely on simple, short-hor…

cs.RO2026

Morphology-Consistent Humanoid Interaction through Robot-Centric Video Synthesis

Weisheng Xu, Jian Li, Yi Gu +12

Equipping humanoid robots with versatile interaction skills typically requires either extensive policy training or explicit human-to-robot motion retargeting. However, learning-bas…

cs.CV2026

MIND: Benchmarking Memory Consistency and Action Control in World Models

Yixuan Ye, Xuanyu Lu, Yuxin Jiang +7

World models aim to understand, remember, and predict dynamic visual environments, yet a unified benchmark for evaluating their fundamental abilities remains lacking. To address th…

cs.RO2025

RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Tianxing Chen, Zanxin Chen, Baijun Chen +23

Simulation-based data synthesis has emerged as a powerful paradigm for advancing real-world robotic manipulation. Yet existing datasets remain insufficient for robust bimanual mani…