Researcher at Institute of Robotics & Intelligent Machines, Georgia Tech
ABOUT ME !
I am a PhD Candidate at Georgia Institute of Technology. I’m working with Dr. Zsolt Kira at the Institute of Robotics & Intelligent Machines. I also closely collaborate with Sergey Zakharov, Rares Ambrus and Adrien Gaidon from Toyota Research Institute. My current research focuses on 3D perception, Scene Understanding and Embodied AI and covers topics such as neural implicit reconstruction, efficient 3D object detection, 6D pose estimation, visual embodied navigation and semantic & spatial reasoning.
I have been fortunate to spend time at Toyota Research Institute (ML-R) working on compositionality of neural-radiance based representations and implicit models for 3D shape, appearance and pose optimization. I also spent the wonderful summers before at Toyota Research Institute (Robotics) (Summer’21) and SRI International (Summer’20) working on 3D perception, scene understanding and semantic and spatial reasoning for embodied agents.
Feel free to contact me to talk anything related to Robotics, Deep Learning or related to some of my projects. Below you will find my projects portfolio. You can find my resume here
EDUCATION
- PhD, Robotics/AI and Mechanical Engineering, 2023 (Expected)
Georgia Institute of Technology - M.S, Robotics/AI & Mechanical Engineering & , 2019
Georgia Institute of Technology
EXPERIENCE
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Research Intern - CV and Deep Learning, Jan-Aug 2022
Toyota Research Institute (TRI) - MLR - Research Intern - Robotics, May-Aug 2021
Toyota Research Institute (TRI) - Robotics - Deep Learning Research Intern, May-Aug 2020
Stanford Research Institute (SRI) International - Graduate Research Assistant, Jan 2019 - Present
Georgia Institute of Technology
SELECTED PUBLICATIONS



CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar



SASRA: Semantically-aware Spatio-Temporal Reasoning Agent for Vision-and-Language Navigation



Deep Reinforcement Learning based control of complex robotic agents
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Embodied Visual Navigation in Habitat
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Learning inverse dynamics of 7-DOF Robot Arm
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Complex robot maze navigation using image classification and ROS
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Vehicle Control for Autonomous Driving
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Environment perception stack for Self Driving Cars
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Visual Odometry for Autonomous Driving
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