Sri AnumakondaI'm an undergraduate student studying robotics at Carnegie Mellon University's School of Computer Science. I'm advised by Kenny Shaw and Deepak Pathak, where I work on dexterous manipulation and sim-to-real policy transfer. email: srianumakonda [at] cmu [dot] edu |
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Featured workI'm interested in building robotic systems with behavior cloning, reinforcement learning, and simulation. I've also worked on end-to-end vision-based control for autonomous vehicles. You can find some of my work below, with more projects on GitHub. |
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LEAP Hand V1: In-Hand Reorientation in Isaac LabJuly 2025 GitHub | Tweet Built the Isaac Lab environment for one-axis cube reorientation, implementing automatic domain randomization (ADR) and randomized episode lengths, deploying the proprioceptive policy to the physical LEAP Hand through ROS 2, and open-sourcing the reorientation task. |
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Bartimaeus: Stealing Vision Back - HACKPRINCETON 2024 FINALIST + HEALTHCARE TRACK WINNERNovember 2024 GitHub | Website Used state-of-the-art pre-trained computer vision models and created a greedy path-planning algorithm to help visually impaired users navigate indoor environments. |
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DebateZero: The Future of Debate Analysis - HACKCMU 2024 OVERALL WINNEROctober 2024 GitHub Used spectral analysis, landmark detection, mathematical modelling, and eye tracking to gain insights on debates and identify misinformation and bias. |
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Semantic Segmentation for Autonomous VehiclesFebruary 2023 - May 2023 GitHub Used CUDA, OpenCV, PyTorch's C++ API (LibTorch), and TorchScript to run semantic segmentation at the highest FPS possible. |
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End2End Learning for Lateral ControlNovember 2021 - January 2022 Research Proposal | GitHub | Tweet Used Deep Convolutional Networks to control self-driving steering, read more than 60 papers in the space, and met some really smart people from the wayve.ai + comma.ai team! |
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