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About

Sajan Abdul is a leading researcher in modular and reconfigurable robotics, with a particular focus on distributed control, torque sensing, and fault tolerance. His work addresses the fundamental challenge of controlling robots whose physical configuration can change, introducing model uncertainties that conventional controllers cannot handle. Abdul’s most influential contribution is a distributed control framework that enables each joint module to operate independently using local torque sensing, eliminating the need for a central controller and making the system inherently scalable and robust. This approach, detailed in his highly cited 2007 paper (115 citations), also allows modules to switch between active and passive working modes, enabling multiple configurations for unstructured environments. Beyond control, Abdul pioneered decentralized fault detection and tolerance schemes that allow individual modules to continue operating even when neighboring joints fail, a critical capability for long-duration or remote missions. His work on the development of a modular robot with multiple working modes (33 citations) further demonstrates his commitment to practical, deployable systems. By decoupling control, sensing, and fault management at the module level, Abdul has laid the groundwork for truly resilient, self-reconfiguring robotic systems.