Mar 29, 2023 · In this article, we introduce a robot interactive perception problem, called Multimodal Embodied Attribute Learning (meal), and explore solutions to this new ...
Abstract. Robots frequently need to perceive object attributes, such as red, heavy, and empty, using multimodal exploratory behaviors, such as look, lift, ...
Robots frequently need to perceive object attributes, such as red, heavy, and empty, using multimodal exploratory behaviors, such as look, lift, and shake. One ...
Duration: 1:42
Posted: May 10, 2021
Posted: May 10, 2021
Aug 21, 2024 · Embodied policy learning aims to empower robots with the sophisticated decision-making capabilities required to perform manipulation tasks ...
Multimodal embodied attribute learning by robots for object-centric action policies. X Zhang, S Amiri, J Sinapov, J Thomason, P Stone, S Zhang. Autonomous ...
Multimodal embodied attribute learning by robots for object-centric action policies. 1 Jun 2023Autonomous Robots47(5):505-528. Co-authors Zhang X, Amiri S ...
Jun 23, 2023 · Multimodal embodied attribute learning by robots for object-centric action policies. Xiaohan Zhang; Saeid Amiri; Shiqi Zhang. OriginalPaper 29 ...
Dec 24, 2023 · We introduce an innovative approach for robot manipulation that leverages the robust reasoning capabilities of Multimodal Large Language Models (MLLMs)
Missing: attribute action
cloud embeddings as tokens within a Transformer to learn robot low-level policies ... Multimodal Embodied Attribute Learning by Robots for Object-Centric Action ...