most citedLarge Language Models for Robotics: A Survey

38 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

ETA: A New Agentic Paradigm for Embodied Tasks

Yitong Chen, Zezheng Huai, Sixian Li +7

When will robots have their ChatGPT moment? Such a breakthrough requires a general-purpose robot that can handle unfamiliar tasks in unfamiliar environments, remain controllable ov…

cs.RO2026

CoRE-VLA: Towards Scalable and Robust Vision-Language-Action Modeling via Conditional Routing of Experts

Haozhe Zhang, Sixian Li, Yifei Zhang +5

Vision-language-action (VLA) models have advanced generalist robotic manipulation, yet real-world deployment reveals a fundamental challenge: robots are equipped with diverse and h…

cs.RO2026

Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy

Junhao Shi, Zezheng Huai, Siyin Wang +7

Building persistent embodied agents in unstructured environments demands unified orchestration of heterogeneous tools spanning both cyber (APIs, IoT) and physical (manipulation, na…

cs.SE2026

ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Execution

Yubang Wang, Chenxi Zhang, Bowen Chen +7

Autonomous agents are increasingly expected to support scientific research, and recent benchmarks report progress in code repair and autonomous experimentation. However, these eval…

cs.RO2023★ 38 cited

Large Language Models for Robotics: A Survey

Fanlong Zeng, Wensheng Gan, Zezheng Huai +5

The human ability to learn, generalize, and control complex manipulation tasks through multi-modality feedback suggests a unique capability, which we refer to as dexterity intellig…