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Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching
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Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching

Naoki Wake
Daichi Saito
Kazuhiro Sasabuchi
Hideki Koike
Katsushi Ikeuchi
ArXiv (abs)PDFHTMLGithub (6★)

Papers citing "Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching"

3 / 3 papers shown
Title
APriCoT: Action Primitives based on Contact-state Transition for In-Hand Tool Manipulation
APriCoT: Action Primitives based on Contact-state Transition for In-Hand Tool Manipulation
Daichi Saito
Atsushi Kanehira
Kazuhiro Sasabuchi
Naoki Wake
Jun Takamatsu
Hideki Koike
Katsushi Ikeuchi
73
1
0
16 Jul 2024
GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration
GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration
Naoki Wake
Atsushi Kanehira
Kazuhiro Sasabuchi
Jun Takamatsu
Katsushi Ikeuchi
LM&Ro
81
69
0
20 Nov 2023
ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application
ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application
Naoki Wake
Atsushi Kanehira
Kazuhiro Sasabuchi
Jun Takamatsu
Katsushi Ikeuchi
LM&Ro
73
85
0
08 Apr 2023

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