Hiroshi Wakuya
Papers
4
Total Citations
22
H-Index
4
About
Hiroshi Wakuya is a robotics researcher whose work spans physical robotic process automation, humanoid locomotion, and cognitive architectures for autonomous agents. His most impactful contribution is the development of an electroadhesive paper gripper for a document-sorting robot (2022, 9 citations), a key step toward physical RPA systems that automate real-world office tasks beyond computer-based processes. In 2024, he advanced bipedal walking with a reinforcement learning method that uses a simple reference motion (5 citations), enabling humanoid robots to learn more efficiently. Earlier, he explored developmental robotics by creating a robot capable of gaze control through eye-head coordination, modeled after the Kyoto Scale of Psychological Development (2011, 4 citations). Wakuya also contributed to cognitive architectures with a partially observable Markov decision process (POMDP)-based blackboard system (2020, 4 citations), providing a theoretical foundation for agents operating in partially observable environments. His work bridges practical automation with fundamental robotics challenges, demonstrating a commitment to both applied and theoretical advances in intelligent systems.
Research Focus
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Top Papers
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