OpenClaw is now controlling my robot
OpenClaw now controls my rover via ROS 2, turning high-level goals into real hardware actions with on-device perception and speech.
Edge AI · Robotics · Embedded Systems
Moe Sani
Visionary engineer and innovator specializing in robotics, embedded systems, and machine learning. Currently contributing to cutting-edge advancements in edge AI.
About
Mohammad Fattahi Sani (Moe Sani) is a visionary engineer and innovator specializing in robotics, embedded systems, and machine learning.
Currently, he contributes to cutting-edge advancements in edge AI at Edge Impulse, the leading platform for developing and deploying AI on edge devices. At Edge Impulse, Moe leverages his expertise to empower developers worldwide in building intelligent, low-latency solutions for microcontrollers, sensors, and cameras.
Prior to this, Moe served as Associate Principal Software Engineer at Dyson's Future Robotics department. Recognized as Exceptional Global Talent by UK Tech Nation in 2021, he also serves as an Industrial Mentor at Dyson Institute of Technology (DIET) and University of Bristol.
Expertise
Edge Impulse
Edge AI leadershipDyson Future Robotics
Associate Principal EngineerBristol Robotics Laboratory
Surgical robotics researchLatest Blog Posts
Recent field notes on robotics, edge AI, and building reliable systems.
Edge AI inspection robot with Edge Impulse and ROS 2
Integrating Edge Impulse object detection with ROS 2 for real-time perception and tracking on an inspection robot.
SMARTsurg Project
Contributed to surgical robotics research at Bristol Robotics Laboratory, focusing on intelligent assistance systems and precision automation.
Selected Publications
Peer-reviewed contributions in robotics, edge AI, and intelligent systems.
Mapping Surgeons Hand/Finger Movements to Surgical Tool Motion During Conventional Microsurgery Using Machine Learning
International Journal of Computer Assisted Radiology and Surgery · 2022
Automatic navigation and landing of an indoor AR drone quadrotor using ArUco marker and inertial sensors
International Conference on Robotics and Automation for Humanitarian Applications · 2016
Experimental study of reinforcement learning in mobile robots through spiking architecture of Thalamo-Cortico-Thalamic circuitry of mammalian brain
International Journal of Advanced Robotic Systems · 2016
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