Legged robots have improved mobility and are able to navigate a larger variety of terrains than wheeled robots. They are able to traverse environments, both continuous and discontinuous—e.g. with gaps, without requiring special consideration like roads, while at the same time they are able to exhibit comparable efficiency. Unfortunately, these benefits come with higher computational cost and complexity, which hinders their widespread adoption. In order to overcome this, past research was focused on using simple (template) models able to capture the most important aspects of the desired motion. These models are usually very particular and do not generalise across situation in a straightforward manner. My research focuses in model-based optimization methods, able to create motions in a coherent manner that could be applied to variety of situation and terrains.
I am a 3rd year Ph.D. student at the Edinburgh Centre of Robotics supervised by Dr. Zhibin Li. Before that, I completed a M.Sc. in Automation Systems with a specialisation in Automatic Control Systems and Robotics at the School of Mechanical Engineering and a M.Eng. in Electrical and Computer Engineering, both at the National Technical University of Athens.
- Wenbin Hu, Iordanis Chatzinikolaidis, Kai Yuan, and Zhibin Li. Comparison Study of Nonlinear Optimization of Step Durations and Foot Placement for Dynamic Walking, IEEE International Conference on Robotics and Automation (ICRA), 2018.
- Qingbiao Li, Iordanis Chatzinikolaidis, Yiming Yang, Sethu Vijayakumar, and Zhibin Li. Robust Foot Placement Control for Dynamic Walking using Online Parameter Estimation, IEEE-RAS International Conference on Humanoid Robots, 2017.