Ali Reza Pedram

Walker (United States), The University of Texas at Austin

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Total Citations

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About

Ali Reza Pedram is a researcher focused on advancing autonomous navigation and path planning under uncertainty. His work lies at the intersection of robotics, control theory, and information theory, with a particular emphasis on minimizing sensing effort while ensuring safe and efficient robot motion. Pedram’s major contributions include the development of Gaussian belief space path planning, which enables mobile robots to generate reference paths that are traceable with moderate sensing in obstacle-filled environments. He also pioneered the concept of rationally inattentive path planning, integrating a novel path length metric with the RRT* algorithm to account for stochastic disturbances and limited sensing resources. His most cited paper (2022) has garnered 13 citations, reflecting growing interest in resource-aware navigation. Together, his publications total 27 citations, establishing a foundation for future work in perceptually constrained robotics. Pedram’s research is particularly notable for bridging theoretical frameworks with practical algorithms, offering a principled approach to balancing motion goals with the cost of information acquisition—a critical challenge for real-world autonomous systems.