Joaquin Penalver-Andres

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About

Joaquin Penalver-Andres is a leading researcher in the intersection of robotics, virtual reality (VR), and neurorehabilitation. His work focuses on how technology can enhance motor learning and recovery after neurological injury, particularly by optimizing the design of robotic training systems and virtual environments. His most cited paper, "Reaching in Several Realities: Motor and Cognitive Benefits of Different Visualization Technologies" (2019, 19 citations), investigates how different VR displays—from 2D screens to immersive headsets—affect motor performance and cognitive load during reaching tasks. This work challenges assumptions about the benefits of high-fidelity VR, showing that simpler displays can sometimes yield better outcomes. In "Haptic Rendering Modulates Task Performance, Physical Effort and Movement Strategy during Robot-Assisted Training" (2020, 7 citations), he demonstrates that providing realistic haptic feedback in virtual environments significantly alters how patients move and exert effort, a key insight for designing more effective rehabilitation robots. His provocative paper, "Do we need complex rehabilitation robots for training complex tasks?" (2019, 5 citations), questions the prevailing trend toward multi-joint robotic systems, arguing that simpler, task-specific devices may be more effective for training daily living activities. With a growing citation impact, Penalver-Andres is shaping how clinicians and engineers think about the role of technology in motor recovery.