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About

Khaled Alshehri is a robotics researcher whose work bridges intelligent control, autonomous navigation, and humanoid vision systems. His research focuses on developing practical algorithms for mobile robots operating in unstructured environments, with particular emphasis on fuzzy-logic based control, path planning, and gaze stabilization. In his most-cited work (2013, 6 citations), Alshehri designed and implemented fuzzy-logic algorithms for obstacle avoidance and target-reaching on NI’s embedded-FPGA robotic platform, demonstrating how soft computing can enable real-time autonomous decision-making. He later extended this expertise to renewable energy applications, developing an autonomous cleaning robot for photovoltaic panels (2022, 3 citations) that uses inertial navigation to follow precise trajectories across solar surfaces—a contribution with direct implications for maintaining solar farm efficiency. Most recently, Alshehri proposed a novel algebraic inverse kinematics approach to gaze control in humanoid robots (2023, 2 citations), offering a computationally efficient alternative to biologically-inspired stabilization methods. His work consistently emphasizes hardware-in-the-loop implementation and real-world deployability, making his research valuable for students and engineers interested in embedded robotics, fuzzy control, and autonomous systems.