Search Results for author: Kento Kawaharazuka

Found 4 papers, 1 papers with code

Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery

no code implementations6 May 2024 Kento Kawaharazuka, Kei Okada, Masayuki Inaba

In this study, we present an implementation strategy for a robot that performs peg transfer tasks in Fundamentals of Laparoscopic Surgery (FLS) via imitation learning, aimed at the development of an autonomous robot for laparoscopic surgery.

Imitation Learning

Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-box Optimization

no code implementations13 Mar 2024 Kento Kawaharazuka, Naoaki Kanazawa, Yoshiki Obinata, Kei Okada, Masayuki Inaba

By using models that can compute the similarity between images and texts continuously over time, we can capture the state changes of food while cooking.

Real-World Robot Applications of Foundation Models: A Review

no code implementations8 Feb 2024 Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng

This paper provides an overview of the practical application of foundation models in real-world robotics, with a primary emphasis on the replacement of specific components within existing robot systems.

Motion Planning

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