22 citations · 77 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2
In order for robots to autonomously navigate and operate in diverse environments, it is essential for them to recognize the state of their environment. On the other hand, the envir…
Reflex-Based Open-Vocabulary Navigation without Prior Knowledge Using Omnidirectional Camera and Multiple Vision-Language Models
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +3
Various robot navigation methods have been developed, but they are mainly based on Simultaneous Localization and Mapping (SLAM), reinforcement learning, etc., which require prior m…
Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-box Optimization
Kento Kawaharazuka, Naoaki Kanazawa, Yoshiki Obinata +2
The state recognition of the environment and objects by robots is generally based on the judgement of the current state as a classification problem. On the other hand, state change…