Nisal Perera

Amherst College, University of Massachusetts Amherst

Papers

Total Citations

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About

Nisal Perera is a rising force in humanoid robotics, whose work bridges biomechanics and artificial intelligence to push the boundaries of dynamic locomotion. His research focuses on enabling humanoid robots to move with the agility and adaptability of humans, tackling challenges from terrain adaptation to complex whole-body motions. Perera’s most cited work, "Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains" (2024, 6 citations), pioneers a reinforcement learning framework that allows robots to dynamically navigate uneven surfaces—a critical step beyond rigid, optimization-based control. He also introduced the StaccaToe robot (2024, 4 citations), a human-scale, single-leg platform featuring an actuated toe and co-actuation inspired by human anatomy, designed to replicate the explosive power and balance of human walking and running. In a creative twist, Perera applied biomechanics to soccer kicking (2024, 2 citations), demonstrating how whole-body coordination and kinetic energy transfer can be modeled for humanoid sports. By merging insights from human physiology with cutting-edge machine learning, Perera is laying the groundwork for robots that can navigate our world with unprecedented grace and resilience.