Assistant Professor at Georgia Institute of Technology
Atlanta, Georgia, United States
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Summary
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Animesh Garg is an Assistant Professor and researcher with 12 years of experience at the intersection of robotics, machine learning, and computer vision, currently based in Atlanta. He has led ML-for-robotics efforts at NVIDIA (building Isaac Orbit/Isaac Lab and early LLM-robotics work) and held faculty positions at University of Toronto and Georgia Tech, blending deep research with system-building. His background spans academia and industry leadership roles—including a CIFAR AI Chair and a stint as Chief Science Officer—reflecting expertise in reinforcement learning, visuo-motor control, and robot manipulation. Trained at Berkeley and Stanford, he combines optimization and control foundations with practical deployment experience in large robotic platforms. Notably, he has a track record of translating cutting-edge RL and LLM ideas into production-oriented robotics toolchains and labs.
12 years of coding experience
9 years of employment as a software developer
PhD, Machine Learning and Robotics, PhD, Machine Learning and Robotics at University of California, Berkeley
B.E., Mechatronics, Robotics, and Automation Engineering, B.E., Mechatronics, Robotics, and Automation Engineering at Netaji Subhas Institute of Technology
University of Delhi
Master of Science (M.S.), Industrial Engineering, Master of Science (M.S.), Industrial Engineering at Georgia Institute of Technology
Postdoc, Computer Science, Postdoc, Computer Science at Stanford University
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Animesh Garg - Assistant Professor at Georgia Institute of Technology