Apr 18, 2023 · This framework consists of five components: Text Encoder, Video Encoder, Action Classifier, Keyframe Aligner and Command Decoder. In this ...
Apr 18, 2023 · In this work, we propose a multi-modal framework for robots to learn manipulation tasks from human demonstrations. In this framework, we ...
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We aim to enable the robot to resolve contact-rich manipulation tasks by learning control strat-.
Sep 9, 2021 · In this work, we extend the LfD framework to address forceful manipulation skills, which are of great importance for industrial processes such as assembly.
Duration: 2:47
Posted: Apr 19, 2023
Posted: Apr 19, 2023
May 6, 2024 · This study proposes a multimodal task planner utilizing GPT-4V and GPT-4 (Fig. 1), as an example of the most recent VLM and LLM, respectively.
System of Robot Learning from Multi-Modal Demonstration and ...
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This paper introduces a system combining several modalities as demonstration interfaces, including natural language instruction, visual observation and hand- ...
We propose a generalizable model-free learning-from-demonstration framework for robots to learn contact-rich skills without explicit reward engineering.
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1 day ago · TL;DR: MimicTouch is a multi-modal imitation learning framework that efficiently collects human tactile demonstrations, learns human-like ...
A skill learning framework is proposed based on dynamic movement primitives model from human manipulability to robot with the capability of replicating human ...