The missing science of robotic systems

Robotics is entering a new era. Foundation models, vision-language-action systems, world models, and generative AI are transforming what robots can perceive, reason about, and do. In this white paper, Federico Pecora, Senior Principal Robotics Research Lead at Arm, explores the systems-level challenges shaping the future of robotics. The paper examines the architectural challenges that must be solved to enable the next generation of intelligent, trustworthy, and scalable physical AI systems.

White paper The missing science of robotic systems expand thumbnail

Download this white paper to learn about:

  • Why robotics is becoming an integration-centric systems discipline, where capability depends on more than model performance alone.
  • How perception, reasoning, planning, control, and safety work together to enable real-world robotic capabilities.
  • The role of heterogeneous compute architectures, including CPUs, GPUs, NPUs, accelerators, and memory systems, in enabling scalable physical AI.
  • What future compute platforms must deliver to support trustworthy, power-efficient, and scalable robotics in real-world environments.
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