activity
20222026
most citedRoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

3 citations · 10 across the 18 of their papers we have counts for

collaborators
Showing cs.ROShow all

7 papers · 1 filter

cs.RO2025

HyCodePolicy: Hybrid Language Controllers for Multimodal Monitoring and Decision in Embodied Agents

Yibin Liu, Zhixuan Liang, Zanxin Chen +7

Recent advances in multimodal large language models (MLLMs) have enabled richer perceptual grounding for code policy generation in embodied agents. However, most existing systems l…

cs.RO2025

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis

Junting Chen, Haotian Liang, Lingxiao Du +8

The rapid progress of navigation, manipulation, and vision models has made mobile manipulators capable in many specialized tasks. However, the open-world mobile manipulation (OWMM)…

cs.RO20252 cited

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…

cs.RO2024

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents

Junting Chen, Checheng Yu, Xunzhe Zhou +7

Heterogeneous multi-robot systems (HMRS) have emerged as a powerful approach for tackling complex tasks that single robots cannot manage alone. Current large-language-model-based m…

cs.RO20241 cited

DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning

Zeyu Gao, Yao Mu, Jinye Qu +7

Dual-arm robots promise greater efficiency but require planning for complex tasks with nonlinear sub-task dependencies. Current methods using Large Language Models (LLMs) suffer fr…

cs.RO20243 cited

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Yao Mu, Junting Chen, Qinglong Zhang +16

Robotic behavior synthesis, the problem of understanding multimodal inputs and generating precise physical control for robots, is an important part of Embodied AI. Despite successe…