Alessio Zamparelli
Papers
1
Total Citations
30
H-Index
1
About
Alessio Zamparelli is a leading researcher in humanoid robotics, with a primary focus on locomotion control and gait generation for bipedal systems. His most influential work, "Humanoid Gait Generation on Uneven Ground using Intrinsically Stable MPC" (2018, 30 citations), introduces a novel Model Predictive Control (MPC) scheme that enables humanoid robots to dynamically generate stable 3D gaits on uneven terrain. By computing online trajectories for both the Zero Moment Point and Center of Mass from an assigned sequence of footsteps, Zamparelli’s approach ensures intrinsic stability even in challenging environments. This contribution addresses a critical bottleneck in humanoid robotics—adapting locomotion to real-world, non-flat surfaces—and has been widely recognized for its practical impact. His work bridges theoretical control theory and applied robotics, offering a robust framework for autonomous navigation. Zamparelli’s research continues to influence the development of more agile and resilient humanoid robots, making him a key figure in advancing legged locomotion for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Humanoid Gait Generation on Uneven Ground using Intrinsically Stable MPC30 citations · 2018