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20232026
most citedDoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment

4 citations · 4 across the 9 of their papers we have counts for

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8 papers · 1 filter

cond-mat.mtrl-sci2026

Sorption Molecular Dynamics of Point Defects in 2D Materials with a Machine Learning Potential

Nils-Ruben Skogemyr, Albin Sjöstedt, Isak Wernroth +6

Defect engineering is a crucial tool for tuning and tailoring the properties of two-dimensional (2D) materials. A key challenge is identifying which defects are kinetically stable…

cs.RO2026

EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning

Lihan Zha, Shresth Grover, Tenny Yin +7

Egocentric human data offer a path to scaling robot learning beyond costly robot demonstrations, yet the embodiment gap makes raw human trajectories a poor supervisory target for c…

cs.RO2026

EmbodiedSWE: Coding Agents for Long Horizon Dexterous Robotics

Haoxiang You, Zeyu Shen, Yilang Liu +16

We study coding agents for long-horizon, dexterous robotics and ask whether their solutions can provide scalable supervision for learning general robot policies. To test this, we d…

cs.RO2026

RAVEN: Long-Horizon Reasoning & Navigation with a Visuo-Spatio-Temporal Memory

Yixun Hu, Zhicheng Zheng, Lihan Zha +5

Long-term robot deployment requires a compact and scalable memory that preserves fine-grained visual semantics, grounds observations in space and time, and enables efficient storag…

cs.RO2026

KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning

Yixuan Huang, Bowen Li, Vaibhav Saxena +9

Robotic systems that interact with the physical world must reason about kinematic and dynamic constraints imposed by their own embodiment, their environment, and the task at hand.…

cs.RO2026

PlayWorld: Learning Robot World Models from Autonomous Play

Tenny Yin, Zhiting Mei, Zhonghe Zheng +8

Action-conditioned video models offer a promising path to building general-purpose robot simulators that can improve directly from data. Yet, despite training on large-scale robot…

cs.RO2026

LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer

Lihan Zha, Asher J. Hancock, Mingtong Zhang +5

A long-standing goal in robotics is a generalist policy that can be deployed zero-shot on new robot embodiments without per-embodiment adaptation. Despite large-scale multi-embodim…

eess.SY2026

Robotic Video World Models: A Survey of Applications, Research Challenges, Future Directions

Zhiting Mei, Tenny Yin, Ola Shorinwa +9

Video world models have emerged as promising candidates for high-fidelity world models, offering the potential to synthesize high-quality videos capturing fine-grained interactions…