activity
20232026
most citedTree-Planner: Efficient Close-loop Task Planning with Large Language Models

6 citations · 19 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.RO2024

DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation

Zhixuan Liang, Yao Mu, Yixiao Wang +6

Dexterous manipulation with contact-rich interactions is crucial for advanced robotics. While recent diffusion-based planning approaches show promise for simple manipulation tasks,…

cs.RO2024

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation

Tianxing Chen, Yao Mu, Zhixuan Liang +8

Recent advances in imitation learning for 3D robotic manipulation have shown promising results with diffusion-based policies. However, achieving human-level dexterity requires seam…

cs.CV2024★ 3 cited

Autoregressive Models in Vision: A Survey

Jing Xiong, Gongye Liu, Lun Huang +17

Autoregressive modeling has been a huge success in the field of natural language processing (NLP). Recently, autoregressive models have emerged as a significant area of focus in co…

cs.RO2024★ 3 cited

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)

Yao Mu, Tianxing Chen, Shijia Peng +6

In the rapidly advancing field of robotics, dual-arm coordination and complex object manipulation are essential capabilities for developing advanced autonomous systems. However, th…

cs.CL2024

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model

Mengkang Hu, Tianxing Chen, Qiguang Chen +3

Large Language Model (LLM)-based agents exhibit significant potential across various domains, operating as interactive systems that process environmental observations to generate e…

cs.RO2024★ 1 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.RO2024★ 3 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…

cs.RO2024★ 3 cited

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation

Junting Chen, Yao Mu, Qiaojun Yu +11

Rapid progress in high-level task planning and code generation for open-world robot manipulation has been witnessed in Embodied AI. However, previous studies put much effort into g…