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About

Dexter Felix Brown is a rising researcher in rehabilitation robotics, specializing in intelligent control systems and soft actuator technologies. His work focuses on enhancing the precision and safety of robotic devices used in physical therapy, particularly through the application of advanced modelling and control strategies. Brown’s most cited paper, “Effectiveness of Intelligent Control Strategies in Robot-Assisted Rehabilitation—A Systematic Review” (2024, 24 citations), provides a comprehensive analysis of how intelligent control systems are transforming rehabilitation robotics, identifying key trends and comparing their effectiveness. He has made significant contributions to the modelling and control of pneumatic artificial muscles (PAMs), which offer desirable compliance and lightweight properties for prosthetics and robotic structures. In his 2025 paper, “Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics” (6 citations), he introduces a model predictive controller optimized via Particle Swarm Optimisation (PSO) to achieve accurate motion control of PAMs. His earlier work, “A Piecewise Particle Swarm Optimisation Modelling Method for Pneumatic Artificial Muscle Actuators” (2024, 6 citations), addresses the challenge of accurately modelling PAMs’ nonlinear dynamics. Brown’s research is paving the way for safer, more effective rehabilitation robots, with potential to improve patient outcomes in clinical settings.