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20242026
most citedRobobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain

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cs.RO2026

ChunkTrust: Adapting Execution Horizons for Robot Policies with Action-Expert Evidence

Fanding Huang, Jingyan Jiang, Shifeng Bao +13

Robot foundation policies predict action chunks, but how many actions to execute before replanning depends on the current task phase. We introduce ChunkTrust, which treats the exec…

cs.RO2026

RoboHarn-Evo: Evolving Hierarchical Physical Knowledge for Self-Improving Robotic Manipulation

Shifeng Bao, Fanding Huang, Yihan Lin +7

Vision-language models can coordinate long-horizon robot manipulation, yet successful task reasoning still depends on whether local physical interactions produce the intended effec…

cs.RO2026

PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing

Yuheng Ji, Yuyang Liu, Huajie Tan +15

Current robotic evaluation is still largely dominated by binary success rates, which collapse rich execution processes into a single outcome and obscure critical qualities such as…

cs.RO2026

SaPaVe: Towards Active Perception and Manipulation in Vision-Language-Action Models for Robotics

Mengzhen Liu, Enshen Zhou, Cheng Chi +6

Active perception and manipulation are crucial for robots to interact with complex scenes. Existing methods struggle to unify semantic-driven active perception with robust, viewpoi…

cs.RO2026

RoboBrain 2.5: Depth in Sight, Time in Mind

Huajie Tan, Enshen Zhou, Zhiyu Li +32

We introduce RoboBrain 2.5, a next-generation embodied AI foundation model that advances general perception, spatial reasoning, and temporal modeling through extensive training on…

cs.RO2026

Action-Sketcher: From Reasoning to Action via Visual Sketches for Long-Horizon Robotic Manipulation

Huajie Tan, Peterson Co, Yijie Xu +9

Long-horizon robotic manipulation is increasingly important for real-world deployment, requiring spatial disambiguation in complex layouts and temporal resilience under dynamic int…

cs.RO2026

Do You Have Freestyle? Expressive Humanoid Locomotion via Audio Control

Zhe Li, Cheng Chi, Yangyang Wei +9

Humans intuitively move to sound, but current humanoid robots lack expressive improvisational capabilities, confined to predefined motions or sparse commands. Generating motion fro…