Evolving collective step-climbing behavior in multi-legged robotic swarm

Artificial Life and Robotics ◽

10.1007/s10015-021-00725-8 ◽

2022 ◽

Author(s):

Daichi Morimoto ◽

Motoaki Hiraga ◽

Naoya Shiozaki ◽

Kazuhiro Ohkura ◽

Masaharu Munetomo

Keyword(s):

Climbing Behavior ◽

Robotic Swarm ◽

Step Climbing

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Rearing and step climbing behavior of X-linked hypophosphatemic (Hyp) mice

Physiology & Behavior ◽

10.1016/0031-9384(87)90195-8 ◽

1987 ◽

Vol 40 (1) ◽

pp. 131-134 ◽

Cited By ~ 4

Author(s):

L.K. Vaughn ◽

R.M. Quock ◽

R.A. Meyer

Keyword(s):

Climbing Behavior ◽

Step Climbing

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Climbing Behavior in the Checkered Keelback or Asiatic Water Snake Xenochrophis piscator (Schneider, 1799) (Colubridae: Natricinae) in the Western Ghats, India

Russian Journal of Herpetology ◽

10.30906/1026-2296-2019-24-1-73-74 ◽

2016 ◽

Vol 24 (1) ◽

pp. 73

Author(s):

Pushkar Umesh Phansalkar ◽

Gaurang Girish Gowande

Keyword(s):

Western Ghats ◽

Climbing Behavior ◽

Water Snake ◽

The Western Ghats

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Underwater short range free space optical communication for a robotic swarm

2009 4th International Conference on Autonomous Robots and Agents ◽

10.1109/icara.2000.4804030 ◽

2009 ◽

Author(s):

Yu Fai Fung ◽

Mingjun Dai ◽

M. Fikret Ercan

Keyword(s):

Optical Communication ◽

Free Space ◽

Short Range ◽

Free Space Optical Communication ◽

Free Space Optical ◽

Space Optical Communication ◽

Robotic Swarm ◽

Range Free

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Bombyx mori nucleopolyhedrovirus ptp and egt genes are dispensable for triggering enhanced locomotory activity and climbing behavior in Bombyx mandarina larvae

Journal of Invertebrate Pathology ◽

10.1016/j.jip.2021.107604 ◽

2021 ◽

pp. 107604

Author(s):

Ryuhei Kokusho ◽

Susumu Katsuma

Keyword(s):

Bombyx Mori ◽

Locomotory Activity ◽

Bombyx Mori Nucleopolyhedrovirus ◽

Bombyx Mandarina ◽

Climbing Behavior

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Corrigendum to “Control optimization of an aerial robotic swarm in a search task and its adaptation to different scenarios” [J. Comput. Sci. 29 (2018) 107–118]

Journal of Computational Science ◽

10.1016/j.jocs.2020.101258 ◽

2020 ◽

pp. 101258

Author(s):

Pablo Garcia-Aunon ◽

Antonio Barrientos Cruz

Keyword(s):

Search Task ◽

Control Optimization ◽

Robotic Swarm

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Response threshold-based task allocation in a reinforcement learning robotic swarm

2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA) ◽

10.1109/iwcia.2014.6988104 ◽

2014 ◽

Cited By ~ 4

Author(s):

Toshiyuki Yasuda ◽

Koki Kage ◽

Kazuhiro Ohkura

Keyword(s):

Reinforcement Learning ◽

Task Allocation ◽

Response Threshold ◽

Robotic Swarm

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Research on Optimal Gradient - Climbing Algorithm in Wind Power Generation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.385-386.1100 ◽

2013 ◽

Vol 385-386 ◽

pp. 1100-1103 ◽

Cited By ~ 1

Author(s):

Qiang Zhao ◽

Chang Cui

Keyword(s):

Power Generation ◽

Wind Power ◽

Search Algorithm ◽

Buck Converter ◽

Wind Power Generation ◽

Generation System ◽

Load Impedance ◽

Point Tracking ◽

Power Generation System ◽

Step Climbing

Maximum power point tracking for wind power generation system fixed step climbing algorithm prone to miscalculation and oscillation shortcomings. Adaptive improved optimal gradient method is put forward to overcome the shortcomings and optimize the existing fixed step climbing algorithm. By Controlling Buck Converter duty radio rapidly match between wind power generation system and load impedance. The simulation result shows that the anti-interference and convergence of the improved hill-climb search algorithm is better than that of the traditional one.

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