Federico Pecora is a Senior Principal Robotics Research Lead with 11 years of industry and academic experience shaping scalable autonomy and multi-robot systems. He currently directs Physical AI research at Arm, unifying foundation models, reinforcement learning, and search-based planning to enable robust, real-world robotic behavior and influence future compute architectures. Previously he led applied science for multi-robot coordination at Amazon Fulfillment Technologies and founded the Multi-Robot Planning and Control lab at Örebro University, blending deep academic rigor with production-scale engineering. His background spans a PhD in AI from Sapienza, a visiting scholar stint at Carnegie Mellon, and long-running work on perception-to-motion pipelines and task-and-motion planning. Federico is known for connecting theoretical advances to deployable systems in logistics and automation, with a focus on removing practical barriers to operating robots at scale. Based in Austin, he brings an unusual mix of academic leadership and hands-on applied research that steers ecosystem-level decisions.
11 years of coding experience
19 years of employment as a software developer
PhD, Computer Science, AI, PhD, Computer Science, AI at Sapienza Università di Roma
Visiting Scholar, Computer Science, AI, Visiting Scholar, Computer Science, AI at Carnegie Mellon University
Erasmus, Computer Science, Erasmus, Computer Science at Linköping University
Multi-robot coordination package based on coordination_oru with ROS support
Contributions:159 commits, 7 PRs, 138 pushes in 3 years 11 months
roboticsros2coordinationpackage-basedrobot
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Federico Pecora - Senior Principal Robotics Research Lead at Arm