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AMR GPU Architecture: Designing Compute Platforms for Autonomous Mobile Robots

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The STATERA Library's Volume 06 chapter 18 examines how GPU-based computing platforms are integrated into autonomous mobile robots (AMRs) and embodied AI systems. It explains that AMRs have evolved from simple navigation machines into intelligent systems running deep learning, sensor fusion, and foundation-model reasoning, which demands far greater computing throughput. The text contrasts CPUs, optimized for sequential tasks, with GPUs, whose massive parallelism suits tensor operations and concurrent perception pipelines. It also stresses that robotic platforms must balance performance against power, thermal, space, and real-time constraints, typically through heterogeneous computing that distributes workloads across CPUs, GPUs, and other accelerators.

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