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About

Dr. Tsuyoshi Hasegawa is a pioneering researcher at the intersection of artificial intelligence and physical computing, with a primary focus on physical reservoir computing and its applications in robotics. His most impactful work demonstrates how unconventional materials, such as silver sulfide (Ag₂S) reservoirs, can be integrated with robotic systems to achieve tactile sensation and real-time multimodal object recognition. In his 2024 paper on tactile sensation using a robot arm with an Ag₂S reservoir—already garnering 10 citations—he showed how physical reservoirs can enable low-power, low-cost AI for edge computing applications. His 2025 follow-up on multimodal object recognition and anomaly detection further solidifies his contributions to real-time AI systems. Additionally, Dr. Hasegawa has made notable contributions to surgical robotics, particularly in gastric cancer treatment. His 2022 study comparing robotic gastrectomy techniques (5 citations) and his work on jejunal mesentery preservation to reduce anastomotic leakage (4 citations) demonstrate his translational impact on minimally invasive surgery. By bridging physical reservoir computing with practical robotic applications, Dr. Hasegawa is advancing the frontier of energy-efficient, real-time AI for both industrial and medical robotics.