6 papers
MEVION: Low-Cost Open-Source Data Collection System for Powerful and High-Speed Dual-Arm Manipulation
Kento Kawaharazuka, Yoshiki Obinata, Hirokazu Ishida +6
The global competition for developing robotic foundation models is intensifying. Among the data collection systems used for dual-arm robots, ALOHA is representative of being low-co…
Efficient Robot Design with Multi-Objective Black-Box Optimization and Large Language Models
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2
Various methods for robot design optimization have been developed so far. These methods are diverse, ranging from numerical optimization to black-box optimization. While numerical…
Mockingbird: How does LLM perform in general machine learning tasks?
Haoyu Jia, Yoshiki Obinata, Kento Kawaharazuka +1
Large language models (LLMs) are now being used with increasing frequency as chat bots, tasked with the summarizing information or generating text and code in accordance with user…
Remote Life Support Robot Interface System for Global Task Planning and Local Action Expansion Using Foundation Models
Yoshiki Obinata, Haoyu Jia, Kento Kawaharazuka +2
Robot systems capable of executing tasks based on language instructions have been actively researched. It is challenging to convey uncertain information that can only be determined…
Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box Optimization
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2
State recognition of the environment and objects, such as the open/closed state of doors and the on/off of lights, is indispensable for robots that perform daily life support and s…
Real-World Cooking Robot System from Recipes Based on Food State Recognition Using Foundation Models and PDDL
Naoaki Kanazawa, Kento Kawaharazuka, Yoshiki Obinata +2
Although there is a growing demand for cooking behaviours as one of the expected tasks for robots, a series of cooking behaviours based on new recipe descriptions by robots in the…