Akinobu Kuwahara
Papers
5
Total Citations
35
H-Index
4
About
Akinobu Kuwahara is a robotics researcher whose work focuses on agricultural automation and multi-robot cooperative control. His research spans three key areas: agricultural robotics, multi-robot systems, and intelligent control algorithms. His most cited work, "Path Planning and Traveling Control for Pesticide-Spraying Robot in Greenhouse" (2017, 18 citations), applies graph theory to optimize navigation for autonomous spraying in greenhouse environments. Kuwahara has made significant contributions to cooperative robotics, including developing particle swarm optimization (PSO) methods for multiple mobile robots to track targets while avoiding obstacles (2013, 6 citations). He has also advanced agricultural automation through tomato recognition algorithms and grasping mechanisms for harvesting robots (2021, 4 citations). His work on semi-autonomous remote control systems (2014, 4 citations) addresses collision danger assessment, while his earlier research on complex-valued neural networks for cooperative conveyance (2010, 3 citations) demonstrates his long-standing interest in intelligent control. Kuwahara's research integrates computer vision, path planning, and swarm intelligence to create practical solutions for precision agriculture and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 5Control characteristics of cooperative conveyance system for multiple mobile robots using complex-valued neural network3 citations · 2010