Naohisa Hashimoto
National Institute of Advanced Industrial Science and Technology
Papers
12
Total Citations
131
H-Index
6
About
Naohisa Hashimoto is a leading researcher in intelligent transportation systems, assistive robotics, and human-robot interaction, with a focus on developing autonomous mobility solutions for elderly and disabled populations. His major contributions span gesture-controlled robotic wheelchairs, collaborative shopping assistance systems, and autonomous navigation in urban environments. Hashimoto pioneered the use of sparse representation-based classification (SRC) and block-sparse representation for real-time hand posture and gesture recognition, integrating sensors like the MYO armband and Leap Motion to enable intuitive control of mobility devices. His work on robotic wheelchairs with autonomous traveling and obstacle avoidance has been cited over 14 times, while his gesture recognition research has accumulated 45 citations. Notably, Hashimoto contributed to the Tsukuba Challenge, a real-world testbed for service robots, and developed fault detection algorithms for intelligent vehicles. He also explored aerial robotic systems for logistics and personal mobility vehicles for sharing in designated zones. With over 120 total citations across his top papers, Hashimoto’s research directly addresses Japan’s aging society and urban congestion, advancing safe, eco-friendly, and accessible transportation technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9Aerial Robotic System for Transportation and Logistics3 citations · 2008
- 10