Academic Thesis

Basic information

Name Akagi Tetsuya
Belonging department
Occupation name
researchmap researcher code 1000263036
researchmap agency Okayama University of Science

Title 

Gait Analysis and Improvement of Hexapod Mobile Robot Using Tetrahedral-Shaped Pneumatic Soft Actuators

					

					

						

							

								

									
Bibliography　Type 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Author 

									
								

							

						

						
Feifei Cho, Kenta Hase, Tetsuya Akagi, Shujiro Dohta, Takashi Shinohara, and Masashi Yokota

					

					

						

							

								

									
Summary 

									
								

							

						

						

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
Journal of Robotics and Mechatronics

					

					

						

							

								

									
Publisher 

									
								

							

						

						

					

					

						

							

								

									
Volume 

									
								

							

						

						
Vol.35

					

					

						

							

								

									
Number Of Pages 

									
								

							

						

						
No.3

					

					

						

							

								

									
StartingPage 

									
								

							

						

						
661

					

					

						

							

								

									
EndingPage 

									
								

							

						

						
668

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
2023/06

					

					

						

							

								

									
Referee 

									
								

							

						

						
Exist

					

					

						

							

								

									
Invited 

									
								

							

						

						
Not exist

					

					

						

							

								

									
Language 

									
								

							

						

						
English

					

					

						

							

								

									
Thesis　Type 

									
								

							

						

						
Research papers (academic journals)

					

					

						

							

								

									
ISSN 

									
								

							

						

						

					

					

						

							

								

									
DOI 

									
								

							

						

						
10.20965/jrm.2023.p0661

					

					

						

							

								

									
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arXiv ID 

									
								

							

						

						

					

					

						

							

								

									
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