scispace - formally typeset
K

Keigo Watanabe

Researcher at Okayama University

Publications -  737
Citations -  5764

Keigo Watanabe is an academic researcher from Okayama University. The author has contributed to research in topics: Mobile robot & Robot. The author has an hindex of 32, co-authored 720 publications receiving 5450 citations. Previous affiliations of Keigo Watanabe include Beijing Institute of Technology & National Institute for Materials Science.

Papers
More filters
Journal ArticleDOI

A particle-swarm-optimized fuzzy-neural network for voice-controlled robot systems

TL;DR: The possible development of particle swarm optimization (PSO)-based fuzzy-neural networks (FNNs) that can be employed as an important building block in real robot systems, controlled by voice-based commands are shown.
Journal ArticleDOI

An exoskeletal robot for human shoulder joint motion assist

TL;DR: In this article, an effective fuzzy-neuro controller, a moving mechanism of the center of rotation (CR) of the shoulder joint of the exoskeletal robot, and an intelligent interface were proposed to assist the motion of physically weak persons such as elderly persons or handicapped persons.
Book ChapterDOI

Evolutionary Optimization of Constrained Problems

TL;DR: This chapter deals with a new approach which will utilize a log-dynamic penalty function method in the NES algorithm that has been proposed and tested in the previous chapter.
Journal ArticleDOI

Feedback Control of an Omnidirectional Autonomous Platform for Mobile Service Robots

TL;DR: This paper proposes a feedback control scheme for an omnidirectional holonomic autonomous platform, which is equipped with three lateral orthogonal-wheel assemblies, and shows that full omniddirectionality can be achieved with decoupled rotational and translational motions.
Journal ArticleDOI

An exoskeletal robot for human elbow motion support-sensor fusion, adaptation, and control

TL;DR: A one degree-of-freedom (1 DOF) exoskeletal robot and its control system to support the human elbow motion and fuzzy neuro control has been applied to the controller.