A. Mounir Boudali
The University of Sydney, Australian Centre for Robotic Vision
Papers
5
Total Citations
42
H-Index
3
About
A. Mounir Boudali is a researcher specializing in the control and modeling of dynamic walking robots, with a focus on underactuated systems and soft robotics. His major contributions include developing invariant funnels for stable walking, using sum-of-squares verification to guarantee continued locomotion from a set of initial conditions—a key advancement for reliable bipedal robots. He also pioneered phase-indexed iterative learning control (ILC), enabling robots to refine their gait cycles despite non-periodic iterations, which has been cited 15 times. Boudali’s work extends to soft robotics, where he modeled EGaIn-based strain sensors for proprioceptive sensing, addressing the lack of accurate mathematical models for strain estimation—a critical step for soft robot control. He also designed an open-platform compass-gait bipedal robot for dynamic walking research, promoting low-cost experimentation. With over 42 citations across his top papers, Boudali’s research bridges theoretical control methods and practical robotic applications, including system identification for bipedal locomotion in both robots and humans, contributing to advancements in exoskeletons and prosthetics for gait rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Phase-indexed ILC for control of underactuated walking robots15 citations · 2015
- 3
- 4Design and modeling of an open platform for dynamic walking research3 citations · 2017
- 5System Identification of Bipedal Locomotion in Robots and Humans2 citations · 2018