Atil Iscen is a Staff Research Scientist at Google with 11 years of experience at the intersection of robotics and AI, specializing in learning-based control, multiagent systems, and autonomous locomotion. He holds a PhD in Computer Science & Mechanical Engineering focused on tensegrity robot coordination and has applied those methods during research stints at NASA Ames. At Google he progressed from software engineer to senior research scientist and now leads advanced research efforts, blending production-grade engineering with principled reinforcement learning. Known for tackling hard embodied-robotics problems, he brings both theoretical depth and practical deployment experience from simulation to real-world systems. Based in Redwood City, he pairs academic rigor with product-focused execution, often translating multiagent learning insights into scalable robotic behaviors.
11 years of coding experience
9 years of employment as a software developer
M.S., Computer Engineering, M.S., Computer Engineering at Middle East Technical University
PhD, Computer Science & Mechanical Engineering, PhD, Computer Science & Mechanical Engineering at Oregon State University
Bachelor's degree, Bachelor's degree at Orta Doğu Teknik Üniversitesi / Middle East Technical University
The NASA Tensegrity Robotics Toolkit Simulator, a physics based simulator to research the design and control of tensegrity robots.
Contributions:29 commits in 2 months
physicsroboticssimulationsimulatormujoco
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