Hessam Maleki
Papers
2
Total Citations
13
H-Index
2
About
Hessam Maleki is a robotics researcher whose work centers on the critical challenge of enabling humanoid robots to walk stably and adaptively on unpredictable, real-world terrains. His primary research areas include bipedal locomotion, online adaptation algorithms, and dynamic balance control. Maleki’s major contribution is the development of an online adaptation algorithm for walking on uneven surfaces with height uncertainty, a problem that is fundamental to deploying humanoids outside of controlled lab environments. His most-cited paper, “Online adaptation for humanoids walking on uncertain surfaces” (2017), with 11 citations, proposes a method to generate walking patterns on flat ground by planning task-space trajectories that satisfy both dynamic balance and slippage avoidance constraints. This work directly addresses the gap between theoretical gait generation and practical, reactive control. By focusing on real-time adaptation to unknown ground height variations, Maleki’s research provides a crucial building block for more resilient and autonomous humanoid robots, impacting fields from disaster response to assistive robotics. His achievements represent a significant step toward making humanoid locomotion as robust and intuitive as human walking.
Research Focus
Key Achievements
Top Papers
- 1Online adaptation for humanoids walking on uncertain surfaces11 citations · 2017
- 2Online Adaptation for Humanoids Walking On Uncertain Surfaces2 citations · 2017