Summary
Domingo Esteban is a robotic locomotion and manipulation specialist with 11 years of experience applying machine learning to real-world legged robots and autonomous systems. Currently at ANYbotics, he develops ML-driven motion control that lets legged robots traverse challenging terrain, building on a strong research background from a PhD and postdoctoral work at Istituto Italiano di Tecnologia. He has hands-on expertise across the stack—from deep reinforcement learning and perception-based foothold prediction to ROS-based navigation, SLAM, and real-time embedded autopilots gained in both academia and industry. Domingo’s work uniquely bridges simulation-driven RL research and production-grade robot software, and he has a track record of turning failed executions into safer, more sample-efficient learning strategies. Based in Zurich, he combines rigorous academic training with pragmatic engineering to push legged robotics toward robust autonomous operation.
11 years of coding experience
4 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Doctor of Philosophy (Ph.D.), Advanced and Humanoid Robotics, Doctor of Philosophy (Ph.D.), Advanced and Humanoid Robotics at Università degli Studi di Genova
Industrial Engineering, Industrial Engineering at Universidad Nacional de San Agustín
Bachelor of Science (B.Sc.), Economics and Business, Bachelor of Science (B.Sc.), Economics and Business at Universidad Católica San Pablo
Spanish, English, Italian