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20232026
most citedEmbodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld

3 citations · 4 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

Embodied Tree of Thoughts: Deliberate Manipulation Planning with Embodied World Model

Wenjiang Xu, Cindy Wang, Rui Fang +6

World models have emerged as a pivotal component in robot manipulation planning, enabling agents to predict future environmental states and reason about the consequences of actions…

cs.RO2025

ViTaMIn-B: A Reliable and Efficient Visuo-Tactile Bimanual Manipulation Interface

Chuanyu Li, Chaoyi Liu, Daotan Wang +6

Handheld devices have opened up unprecedented opportunities to collect large-scale, high-quality demonstrations efficiently. However, existing systems often lack robust tactile sen…

cs.RO2025

Reflection-Based Task Adaptation for Self-Improving VLA

Baicheng Li, Dong Wu, Zike Yan +4

Pre-trained Vision-Language-Action (VLA) models represent a major leap towards general-purpose robots, yet efficiently adapting them to novel, specific tasks in-situ remains a sign…

cs.CV2025

Spiking Neural Networks Need High Frequency Information

Yuetong Fang, Deming Zhou, Ziqing Wang +5

Spiking Neural Networks promise brain-inspired and energy-efficient computation by transmitting information through binary (0/1) spikes. Yet, their performance still lags behind th…

cs.RO2025

An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation

Dongjiang Li, Bo Peng, Chang Li +13

Embodied manipulation is a fundamental ability in the realm of embodied artificial intelligence. Although current embodied manipulation models show certain generalizations in speci…