Clive Seguna

University of Malta, Malta College of Arts, Science and Technology

Papers

Total Citations

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About

Clive Seguna is a researcher whose work bridges the critical gap between mechanical design and intelligent control in robotics. His primary research areas include dexterous robotic manipulation, bio-robotics, and the application of biosignal processing for human-machine interaction. Seguna’s most notable contribution is the design and control system for a dexterous robotic gripper, detailed in his highly cited 2002 paper (17 citations). This work addressed the fundamental challenge of creating a versatile end-effector capable of grasping objects of arbitrary shape, size, and weight, establishing a foundation for more adaptive robotic hands. Demonstrating a forward-looking shift toward bio-integration, his 2018 study (9 citations) developed a low-cost electromyography (EMG) monitoring system. This system successfully classified finger movements, offering a practical pathway for controlling advanced prosthetic limbs and enabling intuitive gesture control for bio-robotic applications. By tackling both the mechanical complexity of grippers and the signal-processing challenges of EMG, Seguna has contributed essential building blocks for more capable, human-like robotic systems, impacting fields from industrial automation to assistive technology.