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Topic: reinforcement learning

BRIDGE Figure 1 with an upper co-design workflow linking an actuator library, URDF generation, motion evaluation and saturated-motor replacement, above lower examples of the physical humanoid performing whole-body movements.

Jianren Wang, Letian Qian, Zikai Wang, Weiwei Wu, Junjie Zong, Abhinav Gupta and Deepak Pathak · CC BY 4.0. Commercial reuse is permitted with attribution. Original Figure 1 used without editorial alteration.

ANALYSIS Technology

BRIDGE Designs a Humanoid Body and Controller as One System

The compact research robot links morphology, actuator limits and learned control, but its strongest comparisons remain simulated and its full open-source release is still pending.

By Maso Intelligence
6 min read

Research illustration showing the same recorded robot trajectory receiving different progress scores under two equivalent instructions about placing a radish in a pink bowl.

Wonje Jeung, Sangyeon Yoon, Hyesoo Hong, Yoonjun Cho, Dongjae Jeon, Bumjun Kim, Jean Oh, Youngjae Yu and Albert No · The full paper is marked CC BY 4.0, and the Figure 1 caption contains no separate third-party credit or license exception. CC BY 4.0 permits commercial reproduction and sharing with creator attribution, a link to the licensed material and license, an indication of modifications, and no implication of endorsement. The figure should be reproduced without misleading alteration.

ANALYSIS Robotics

RoboRMBench Exposes Wording-Sensitive Reward Scores in Robot Learning

A new preprint tests vision-language reward models on 2,390 recorded real-robot trajectories and finds that equivalent instructions can produce contradictory judgments, revealing a measurable reliability gap before physical deployment.

By Maso Intelligence
7 min read