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