Summary
Israel Schallheim is an algorithm researcher with 12 years of hands-on experience building perception, planning, state estimation and control systems for autonomous ground vehicles and robots. He has led robotics algorithm teams at Elbit Systems and now develops advanced autonomy at RGo Robotics while supervising robotics capstone projects at the Technion, bridging industry work with academic mentorship. His background spans stereo vision, LiDAR, 3D mapping, terrain traversability and trajectory optimization, complemented by deep experience in inertial navigation and stabilization control. A summa cum laude BSc and high‑scoring MSc graduate from the Technion, he combines rigorous academic training with practical deployment in rough-terrain autonomy. Notably, he has moved from gait control for DARPA-class robots to production-ready perception stacks, evidencing an uncommon breadth from low-level control to high-level decision making.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc), Mechanical Engineering, GPA: 93/100 Summa Cum Laude (top 3%), Bachelor of Science (BSc), Mechanical Engineering, GPA: 93/100 Summa Cum Laude (top 3%) at Technion - Israel Institute of Technology
The University of Melbourne