Sreyas Venkataraman
Undergraduate Researcher @Cmu Robotics Institute Summer Scholars Program
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WORK HISTORY
Undergraduate Researcher @Cmu Robotics Institute Summer Scholars Program
Pittsburgh, PA, US
Under the guidance of Prof. David Held and Prof. Zackory Erickson• Developed a novel RL system using VLMs to generate reward functions from offline unlabelled datasets• Conducted extensive experiments using the developed method, demonstrating 40%+ increase in success rate, and alignment with ground-truth task progress in a diverse range of manipulation tasks in random datasets• Developed a parallelized and modular pipeline for processing high-dimensional point cloud data and deployed the framework in a real-world assistive dressing task achieving SOTA results of 0.82 in out-of-distribution settings
EDUCATION
Indian Institute of Technology, Kharagpur
Bachelor of Science - BS, Mathematics and Computing
Carnegie Mellon University
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering
Padma Seshadri Bala Bhavan Sr. Sec. School
School
IISER Bhopal
BS-MS
Chettinad Vidyashram
High School , Physics Chemisty Maths Biology
ABOUT SREYAS VENKATARAMAN
I am a senior undergraduate at the Department of Mathematics, pursuing a Bachelor of Science in Mathematics and Computing at the Indian Institute of Technology, Kharagpur. My research interests lie in reinforcement learning, robot learning, and utilising multimodal data for building adaptive and robust robotic systems. I have been an integral part of the Autonomous Vehicles Group (AGV) at IIT Kharagpur, led by Professor Debashish Chakravarty, where I worked on SLAM and reinforcement learning for F1-Tenth scale autonomous cars (MushR). Additionally, I collaborated with Professor Aritra Hazra on offline reinforcement learning and meta RL. I also gained valuable insights during my internship with Professor Balaraman Ravindran at IIT Madras, where I worked on sim-to-real transfer methods for robotics. I was fortunate to spend a summer as a RISS scholar at the Robotics Institute, Carnegie Mellon University, working with Yufei Wang under the guidance of Professor David Held and Professor Zackory Erickson. Together, we developed innovative methods for reward learning from multimodal data and applied these techniques to real-world robotic tasks. I also collaborated with Dr. Sherry Yang and Professor Bo Dai at DeepMind on improving video generation for robotic planning, focusing on task fidelity and robustness.
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