Physical AI in High-Precision, Low-Volume Manufacturing
Applying robotics, automation, and AI to high-precision, low-volume manufacturing in watchmaking, jewelry, and related industries.
Read case studyDecision-focused case studies on edge AI and IoT architecture — showing what was at stake, what path was chosen, and how risk was reduced.
Applying robotics, automation, and AI to high-precision, low-volume manufacturing in watchmaking, jewelry, and related industries.
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How edge AI enables robots to sense, decide, and act reliably in real-world environments through low-latency, hybrid physical AI architectures.
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OpenClaw now controls my rover via ROS 2, turning high-level goals into real hardware actions with on-device perception and speech.
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Integrating Edge Impulse object detection with ROS 2 for real-time perception and tracking on an inspection robot.
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Contributed to surgical robotics research at Bristol Robotics Laboratory, focusing on intelligent assistance systems and precision automation.
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Leading innovation in edge AI deployment, helping developers build intelligent IoT solutions with reduced latency and cost.
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Developed advanced teleoperation systems at the Italian Institute of Technology for remote robotic control in hazardous environments.
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