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About

Bryan Whitsell’s research lies at the intersection of neural interfaces, human-robot collaboration, and motor control, with a focus on making robotic systems more intuitive and responsive to human intent. His most impactful work, “High-Density Electromyography and Motor Skill Learning for Robust Long-Term Control of a 7-DoF Robot Arm” (122 citations), pioneered the use of high-density surface electromyography (HDsEMG) combined with motor skill learning to achieve stable, long-term myoelectric control of complex robotic arms—a key advance for prosthetics and assistive robotics. Whitsell also made significant contributions to understanding physical human-robot interaction (pHRI), developing frameworks for asymmetric cooperation in six degrees of freedom and exploring how humans communicate movement intent during physical collaboration. His work on proprioception in 3D space (20 citations) deepened knowledge of how the brain perceives arm position, informing better control algorithms. By integrating muscle synergy-inspired inputs from HDsEMG grids, Whitsell demonstrated simultaneous, natural control of robot arms, bridging neuroscience and engineering. His research has been published in top venues like IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Robotics and Automation Letters, and his citation record—spanning over 240 total citations—underscores his influence on the fields of neural control and human-robot interaction.