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About

Shunsuke Toritani is a robotics researcher whose work centers on advancing dexterous manipulation for industrial automation, with a particular focus on dual-arm robotic systems and sensorless control strategies. His major contributions lie in developing force sensorless impedance control for dual-arm manipulator-hand robots, enabling these systems to handle complex assembly tasks such as manipulating nuts and flexible objects without relying on traditional force sensors—a breakthrough that reduces hardware complexity and cost. His 2011 paper on this topic has garnered 10 citations, reflecting its foundational role in the field. Toritani further extended this work by integrating multiple sensors for autonomous screwing tasks, as detailed in his 2012 paper (also 10 citations), which addresses the challenge of coordinating actuation and perception for small-object assembly. Additionally, he has contributed to inverse kinematics for redundant manipulators, proposing a nonlinear least-squares method to overcome limitations of the Newton-Raphson approach. With a total of 23 citations across his most-cited works, Toritani’s research is pivotal for students and engineers seeking efficient, sensor-minimal solutions for robotic assembly, offering practical pathways toward more autonomous and cost-effective manufacturing systems.