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About

Hassan Hakim Khalili is a robotics researcher whose work focuses on advancing autonomous navigation and motion planning for robots operating in extreme and challenging environments. His major contributions center on developing innovative locomotion strategies for legged and aerial robots, enabling them to access spaces that are typically inaccessible to conventional machines. Khalili’s most cited work, “Grid-Based Motion Planning Using Advanced Motions for Hexapod Robots” (2018, 13 citations), introduces a novel framework for hexapod robots to traverse narrow pathways and large holes by utilizing wall and chimney walking techniques—motions that leverage perpendicular surfaces for support. This research is complemented by his work on a navigational system for quadcopter remote inspection of offshore substations (2019, 9 citations), which aims to improve safety and reduce costs in hazardous offshore environments. Khalili has also contributed to state estimation for legged robots, as seen in his tuning and sensitivity analysis of the Corin hexapod (2020), and to control theory through convergence analysis of Iterative Learning Control (2012). His research, conducted at the University of Manchester, demonstrates a clear trajectory toward practical, real-world robotic solutions for exploration, inspection, and maintenance in difficult terrains.