Armaghan Ahmad Khan

National University of Sciences and Technology

Papers

Total Citations

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About

Dr. Armaghan Ahmad Khan is a robotics researcher whose work centers on whole-body motion planning for humanoid robots, a field that tackles the immense complexity of controlling high-degree-of-freedom systems under strict stability and obstacle avoidance constraints. His most cited paper, "Whole-body motion planning for humanoid robots with heuristic search" (2016), introduces innovative heuristic search strategies that improve the efficiency and feasibility of generating fluid, stable movements for bipedal machines. By addressing the limitations of earlier bounding-box models and other simplified approaches, Khan’s research advances the practical deployment of humanoid robots in real-world environments, where adaptability and safety are paramount. Though his citation count is modest, his contributions are foundational for researchers grappling with the computational challenges of high-DOF motion planning. His work is particularly notable for bridging theoretical search algorithms with the physical realities of robotic locomotion, offering a pathway toward more autonomous and responsive humanoid systems. For students and engineers exploring the intersection of robotics, artificial intelligence, and control theory, Khan’s research provides a clear, methodical framework for tackling one of the field’s most demanding problems.