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About

Mohammad Bakhshalipour is a computer systems researcher whose work sits at the exciting intersection of robotics and computer architecture, focusing on the design of specialized hardware and software systems to accelerate autonomous robotic computing. His research addresses a critical challenge in modern robotics: bridging the gap between the growing computational demands of autonomous systems and the hardware platforms that must support them in real time. Among his most notable contributions is RACOD (2022, 19 citations), an algorithm-hardware co-design framework that significantly accelerates mobile robot path planning through a custom hardware accelerator and intelligent algorithmic extensions. He has also led the development of influential benchmarking infrastructure, including RTRBench (2022, 14 citations) and RobotPerf (2024, 16 citations), open-source suites that enable rigorous, standardized evaluation of robotics computing across diverse hardware platforms. His systematic studies on robotic workloads across modern hardware have helped establish a shared vocabulary between the robotics and computer architecture communities. Most recently, his Tartan processor architecture (2024) represents a bold step toward purpose-built robotic CPUs. Collectively, Bakhshalipour's work has garnered over 60 citations, making him an emerging and impactful voice in the field of robotic computing systems.