Th. Dorsam

Papers

Total Citations

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About

Th. Dorsam’s research focuses on intelligent robotic manipulation, particularly the control of multifingered robot hands and micro-robotics. His major contributions lie in developing adaptive control systems that combine fuzzy logic and neural networks to enable fine, autonomous object manipulation. His most-cited work (1994, 19 citations) introduces a fuzzy-based grasp-force-adaptation method, using decision-making logic to adjust grip force online—a key advancement for dexterous robot hands. Expanding on this, his 2002 paper (10 citations) presents a multilevel control architecture that integrates fuzzy adaptation, neural learning, and conventional PID control, allowing robots to perform precise manipulations without human intervention. Dorsam also explored actuation principles for micro robots (1995, 3 citations), contributing to miniaturized robotic systems. Though his citation counts are modest, his work is foundational for researchers in adaptive robot hand control, demonstrating how hybrid intelligent systems can enhance robotic dexterity. His approach to tailoring control architectures for specific tasks remains relevant for modern robotics, particularly in applications requiring delicate force regulation.