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Matching papers

Transferring the Intelligence of VLMs to Robotic Control

101 upvotes · 19 SEP 2026 · Meng-Hao Guo, Zhe-Han Mo, Jia-Jun Wang et al.

This paper investigates whether the intelligence of vision-language models (VLMs) can be transferred to robotic control, enabling robots to learn and adapt in both digital and physical worlds. Practitioners might care because it could lead to more human-like robots that can seamlessly adapt to new environments and tasks.

vision-language modelsrobotic controlhuman-computer interfacescontinual learningreinforcement learning

MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation

83 upvotes · 29 SEP 2026 · Bingxuan Li, Siqi Song, Yizhuo Wu et al.

This paper introduces a system called MotorMind that allows a general-purpose vision-language model to control a robot without relying on external models or tools, enabling zero-shot manipulation in new tasks and environments. Practitioners might care because it could simplify and improve robotic manipulation tasks.

vision-language modelsrobot manipulationcontinual learningaction representationrobotic control