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20232026
most citedVQA-based Robotic State Recognition Optimized with Genetic Algorithm

22 citations · 77 across the 18 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.RO2023★ 1 cited

Daily Assistive View Control Learning of Low-Cost Low-Rigidity Robot via Large-Scale Vision-Language Model

Kento Kawaharazuka, Naoaki Kanazawa, Yoshiki Obinata +2

In this study, we develop a simple daily assistive robot that controls its own vision according to linguistic instructions. The robot performs several daily tasks such as recording…

cs.RO2023

Binary State Recognition by Robots using Visual Question Answering of Pre-Trained Vision-Language Model

Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2

Recognition of the current state is indispensable for the operation of a robot. There are various states to be recognized, such as whether an elevator door is open or closed, wheth…

cs.RO2023

Semantic Scene Difference Detection in Daily Life Patroling by Mobile Robots using Pre-Trained Large-Scale Vision-Language Model

Yoshiki Obinata, Kento Kawaharazuka, Naoaki Kanazawa +7

It is important for daily life support robots to detect changes in their environment and perform tasks. In the field of anomaly detection in computer vision, probabilistic and deep…

cs.RO2023

Recognition of Heat-Induced Food State Changes by Time-Series Use of Vision-Language Model for Cooking Robot

Naoaki Kanazawa, Kento Kawaharazuka, Yoshiki Obinata +2

Cooking tasks are characterized by large changes in the state of the food, which is one of the major challenges in robot execution of cooking tasks. In particular, cooking using a…

cs.RO2023★ 1 cited

A method for Selecting Scenes and Emotion-based Descriptions for a Robot's Diary

Aiko Ichikura, Kento Kawaharazuka, Yoshiki Obinata +2

In this study, we examined scene selection methods and emotion-based descriptions for a robot's daily diary. We proposed a scene selection method and an emotion description method…

cs.RO2023★ 1 cited

Automatic Diary Generation System including Information on Joint Experiences between Humans and Robots

Aiko Ichikura, Kento Kawaharazuka, Yoshiki Obinata +3

In this study, we propose an automatic diary generation system that uses information from past joint experiences with the aim of increasing the favorability for robots through shar…

cs.RO2023★ 3 cited

Foundation Model based Open Vocabulary Task Planning and Executive System for General Purpose Service Robots

Yoshiki Obinata, Naoaki Kanazawa, Kento Kawaharazuka +4

This paper describes a strategy for implementing a robotic system capable of performing General Purpose Service Robot (GPSR) tasks in robocup@home. The GPSR task is that a real rob…

cs.RO2023★ 22 cited

VQA-based Robotic State Recognition Optimized with Genetic Algorithm

Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2

State recognition of objects and environment in robots has been conducted in various ways. In most cases, this is executed by processing point clouds, learning images with annotati…

cs.RO2023★ 19 cited

Robotic Applications of Pre-Trained Vision-Language Models to Various Recognition Behaviors

Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2

In recent years, a number of models that learn the relations between vision and language from large datasets have been released. These models perform a variety of tasks, such as an…