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20232026
most citedLarge Language Models for Robotics: A Survey

38 citations · 50 across the 16 of their papers we have counts for

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6 papers · 1 filter

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

LH-AVLN: A Benchmark for Long-Horizon Audio-Visual-Language Navigation

Rufeng Chen, Yue Chang, Zili Shao +5

Embodied navigation is moving toward long-horizon missions, yet existing long-horizon benchmarks are largely acoustically silent, and audio-visual navigation tasks typically focus…

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.RO2026

PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making

Rufeng Chen, Yue Chang, Xiaqiang Tang +2

Open-vocabulary navigation requires embodied agents to manage significant perception uncertainty stemming from semantic ambiguity and model errors. However, most existing works set…

cs.RO2025★ 1 cited

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents

Zhejian Yang, Yongchao Chen, Xueyang Zhou +8

Long-horizon robotic manipulation poses significant challenges for autonomous systems, requiring extended reasoning, precise execution, and robust error recovery across complex seq…

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…