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insight - Visual Prompting for Robotic Manipulation
MOKA: Leveraging VLMs for Robotic Manipulation Tasks
MOKA introduces a novel approach that utilizes Vision-Language Models (VLMs) to solve robotic manipulation tasks specified by free-form language descriptions. By bridging affordance representation with motion generation, MOKA enables effective control of robots in diverse environments.
MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting
VLMs can be leveraged for robotic manipulation tasks through a point-based affordance representation, as demonstrated by MOKA.
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