Zubair Irshad

PhD Candidate at Georgia Tech
Researcher at Institute of Robotics & Intelligent Machines, Georgia Tech



I am a PhD Candidate at Georgia Institute of Technology. I’m working with Dr. Zsolt Kira at the Institute of Robotics & Intelligent Machines. 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.

This spring, I am a research intern at Toyota Research Institute (ML-R) with Adrien GaidonRares Ambrus and Sergey Zakharov working on generalizable object representation for 3D perception. I have been fortunate to spend time at Toyota Research Institute (Robotics) as a Research Intern. I worked on 3D perception, scene understanding and generalized behaviors for robotics manipulation with Thomas Kollar and Michael Laskey. The summer before, I interned at SRI International in the Vision and Learning Lab on multi-modal 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




ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

Muhammad Zubair Irshad*, Sergey Zakharov*, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon

European Conference on Computer Vision, ECCV 2022

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira
IEEE International Conference on Robotics and Automation, ICRA 2022
Project PagearXiv Code Video Poster

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation

Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira

IEEE International Conference on Robotics and Automation, ICRA 2021
Project Page arXiv Code VideoPoster

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

Muhammad Zubair Irshad, Niluthpol Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
International Conference on Pattern Recognition, ICPR 2022

Deep Reinforcement Learning Agents

Deep Reinforcement Learning based control of complex robotic agents

Habitat Point Goal Navigation

Embodied Visual Navigation in Habitat


Learning inverse dynamics of 7-DOF Robot Arm


Complex robot maze navigation using image classification and ROS


Vehicle Control for Autonomous Driving


Environment perception stack for Self Driving Cars


Visual Odometry for Autonomous Driving


End to end imitation learning of dynamically unstable systems