Hiroaki Nonoshita
Papers
2
Total Citations
11
H-Index
2
About
Hiroaki Nonoshita is a robotics researcher whose work centers on the dynamic control and learning of two-wheeled inverted pendulum mobile robots. His primary research areas include motion generation, reinforcement learning, and human-robot interaction, with a particular focus on enabling inherently unstable platforms to perform complex, dynamic tasks. Nonoshita’s major contribution lies in developing methods for these robots to execute high-energy actions—such as kicking a ball—by leveraging their own body dynamics while maintaining balance. In his most cited work, "Behavioral development of ball kicking motion of a two-wheeled inverted pendulum mobile robot" (2010, 8 citations), he introduced a reinforcement learning framework that allows the robot to acquire this skill through trial and error, demonstrating how unstable robots can achieve athletic feats. His related paper, "Inverted-pendulum Mobile Robot Motion Learning from Human Player Observation" (2010, 3 citations), extends this by exploring how robots can learn from human demonstrations, bridging the gap between human motion and robotic control. Nonoshita’s research is notable for its innovative approach to motion learning, offering insights into how robots can autonomously develop complex behaviors, making his work a valuable reference for students and researchers in robotics and machine learning.
Research Focus
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Top Papers
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