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Published in NeurIPS, 2023, 2023
This paper is how to use both vision and language information help to solve soft body manipulation tasks. Also, we introduce non-expert into setting up dataset by UI-system and large language model. Paper site
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Published in Arxiv, 2023
We present RoboGen, a generative robotic agent that automatically learns diverse robotic skills at scale via generative simulation.
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Published in Arxiv, 2024
In EvalTask, we propose a novel framework for evaluating generative robotic simulations from various aspects.
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The seminar primarily focuses on advancing the field of robotics, particularly in making robots functional in unstructured settings outside traditional factory environments. The goal is to develop robots capable of performing a variety of tasks to address productivity challenges. The presentation acknowledges the significant progress made in robotics over the past decade but also highlights that current research is still concentrated on developing specific skills for robots.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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