scholarly journals Optimization and Synthesis of a Robot Fish Motion

10.5772/25902 ◽  
2012 ◽  
Author(s):  
Janis Viba ◽  
Semjons Cifanskis ◽  
Vladimirs Jakushevich
Keyword(s):  
Robot Fish

Swimming Backward of a Biomimetic Carangiform Robot Fish

2009 ◽  
Vol 34 (8) ◽  
pp. 1024-1027 ◽  
Author(s):  
Chao ZHOU
Keyword(s):  
Robot Fish

An Autonomous Micro Robot Fish Based on IPMC Actuator

ROBOT ◽  
2010 ◽  
Vol 32 (2) ◽  
pp. 262-270 ◽  
Author(s):  
Yudong SU ◽  
Xiufen YE ◽  
Shuxiang GUO
Keyword(s):  
Micro Robot ◽  
Robot Fish

Learn, Build and Compete: An Aquatic Robot-Fish Challenge

2020 ◽  
Author(s):  
Saail Kashinath Narvekar ◽  
Rucmenya Bessariya ◽  
Arjun Sadananda ◽  
Kavi Arya
Keyword(s):  
Robot Fish

Bioinspired Closed-loop CPG-based Control of a Robot Fish for Obstacle Avoidance and Direction Tracking

2021 ◽  
Vol 18 (1) ◽  
pp. 171-183
Author(s):  
Jiayong Chen ◽  
Bo Yin ◽  
Chengcai Wang ◽  
Fengran Xie ◽  
Ruxu Du ◽  
...  
Keyword(s):  
Obstacle Avoidance ◽  
Closed Loop ◽  
Robot Fish

scholarly journals Improved Artificial Potential Field and Dynamic Window Method for Amphibious Robot Fish Path Planning

2021 ◽  
Vol 11 (5) ◽  
pp. 2114
Author(s):  
Wenlin Yang ◽  
Peng Wu ◽  
Xiaoqi Zhou ◽  
Haoliang Lv ◽  
Xiaokai Liu ◽  
...  
Keyword(s):  
Path Planning ◽  
Potential Field ◽  
Local Minimum ◽  
Field Method ◽  
Artificial Potential Field ◽  
Evaluation Function ◽  
Potential Field Method ◽  
Robot Fish ◽  
Amphibious Robot ◽  
Artificial Potential Field Method

Aiming at the problems of “local minimum” and “unreachable target” existing in the traditional artificial potential field method in path planning, an improved artificial potential field method was proposed after analyzing the fundamental causes of the above problems. The method solved the problem of local minimum by modifying the direction and influence range of the gravitational field, increasing the virtual target and evaluation function, and the problem of unreachable targets is solved by increasing gravity. In view of the change of motion state of robot fish in amphibious environments, the improved artificial potential field method was fused with a dynamic window algorithm, and a dynamic window evaluation function of the optimal path was designed on the basis of establishing the dynamic equations of land and underwater. Then, the simulation experiment was designed under the environment of Matlab2019a. Firstly, the improved and traditional artificial potential field methods were compared. The results showed that the improved artificial potential field method could solve the above two problems well, shorten the operation time and path length, and have high efficiency. Secondly, the influence of different motion modes on path planning is verified, and the result also reflects that the amphibious robot can avoid obstacles flexibly and reach the target point accurately according to its own motion ability. This paper provides a new way of path planning for the amphibious robot.

scholarly journals Design of Bionic Robot Fish Propelled by Two Joint Caudal Fin

2021 ◽  
Vol 1982 (1) ◽  
pp. 012056
Author(s):  
Renxiang Wu ◽  
Gang Du ◽  
Zheng Liu ◽  
Dongxia Zhang ◽  
Yingjie Yu
Keyword(s):  
Caudal Fin ◽  
Bionic Robot ◽  
Robot Fish

Fisho: A cost-effective intelligent autonomous robot fish

2013 ◽  
Author(s):  
Pablo Romero ◽  
Berardi Sensale-Rodriguez ◽  
Diego Astessiano ◽  
Rafael Canetti
Keyword(s):  
Cost Effective ◽  
Autonomous Robot ◽  
Robot Fish
Sign in / Sign up

Export Citation Format

Share Document