Alberto Yoshihiro Nakano
Papers
7
Total Citations
65
H-Index
5
About
Alberto Yoshihiro Nakano is a robotics researcher whose work centers on autonomous mobile robot navigation, path planning, and real-time decision-making in dynamic environments. His most influential contributions focus on optimizing search algorithms for mobile robotics, particularly through comparative studies of A* and RRT* algorithms under dynamic and real-time constraints—work that has garnered over 15 citations. Nakano has also advanced simulation tools for robotics education and competition, developing a 3D simulator with hardware-in-the-loop capability for the Micromouse competition, which has accumulated 13 citations. His research extends to practical applications such as indoor gas leak detection using mobile robots and collaborative robots for upper limb rehabilitation. More recently, Nakano has integrated artificial intelligence into object detection systems for robotic competitions, demonstrating his commitment to bridging theoretical algorithm development with tangible, competition-driven robotics challenges. With a portfolio of highly cited papers from 2019 onward, Nakano's work is particularly relevant for students and researchers interested in path planning, real-time robotics, and the intersection of AI with autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A* search algorithm optimization path planning in mobile robots scenarios15 citations · 2019
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- 4Indoor Environment Monitoring in Search of Gas Leakage by Mobile Robot10 citations · 2019
- 5
- 6Using a Collaborative Robot to the Upper Limb Rehabilitation4 citations · 2019
- 7An AI-based Object Detection Approach for Robotic Competitions3 citations · 2023