Heramb Nemlekar

Assistant Professor at California State University, Northridge

Los Angeles, California, United States
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Summary

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Senior
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Heramb Nemlekar is an Assistant Professor and robotics researcher with eight years of experience at the intersection of robot learning, human-robot interaction, and machine learning. He holds a PhD in Computer Science from USC and has translated academic research into real-world systems—from deploying multi-objective planners on Kinova arms to running human-robot studies with over 100 participants. His work blends algorithmic advances (imitation and transfer learning) with practical system-building and user studies, enabling robots that better anticipate and adapt to human preferences. Prior roles include postdoctoral research at Virginia Tech and hands-on mechatronics projects at Worcester Polytechnic Institute, reflecting strong cross-disciplinary fluency in mechanical and software engineering. Based in Los Angeles, he is driven by making robots seamlessly helpful in daily life and has a track record of improving both performance and user-centered transfer in complex assembly and manipulation tasks.
code8 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern California
bookMaster of Science - MS, Mechatronics, Robotics, and Automation Engineering, 4.0 / 4.0, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, 4.0 / 4.0 at Worcester Polytechnic Institute
bookSavitribai Phule Pune University
languagesEnglish, German, Hindi, Marathi
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Github Skills (27)

inverse9
entropy9
causal8
robot-control7
python7
motion-planning6
ros6
ada6
machine-learning6
robotics6
programming-language6
dynamics5
reinforcement-learning5
simulation5
kinematics4

Programming languages (4)

C++CMakeJupyter NotebookPython

Github contributions (5)

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Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Contributions:2 PRs, 65 pushes, 3 branches in 1 year 10 months
maximumentropypythonreinforcement-learningcausal
Contributions:77 pushes, 1 branch in 4 years 2 months
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