Danyal Saqib

I am a PhD student at the University of British Columbia (UBC) in Vancouver, Canada, researching data-driven control, dynamical systems, and behavioral systems theory with applications to robotics. I am a part of the Padoan Lab within the Department of Electrical and Computer Engineering, supervised by Dr. Alberto Padoan.

I previously completed my MSc at the University of Calgary, with research focusing on Robotics and Controls as part of the Calgary Human-Robot Collaboration (CHRC) Lab, supervised by Dr. Marie Charbonneau. I received my Bachelor's degree in Electrical Engineering from SEECS, NUST. My undergraduate thesis was supervised by Dr. Wajahat Hussain, in the domain of self-supervised learning for robotic systems.

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Research

My general research interests include control theory, learning, and robotics. I am currently researching data driven control methods that leverage behavioral system theory to design controllers for complex robotic systems with limited data availability.

I am privileged to have had the opportunity to work with and design controllers for several interesting robots, such as the Reachy Robot by Pollen Robotics at the University of Calgary's CHRC Lab, and the Talos Humanoid Robot by PAL Robotics at the University of Waterloo's RoboHub.

News

Sep. '25  

Jan. '25  

Sep. '24  

Jun. '23  

Presented a poster on my research on energy-conscious control for pHRI at the Alberta RISE Conference 2024 at the University of Alberta, Edmonton, Canada.

My Master's Thesis, submitted to the Department of Mechanical and Manufacturing Engineering at the University of Calgary. Presents a novel energy-conscious controller for safe pHRI.

My undergraduate thesis, submitted to the Department of Electrical Engineering at SEECS, NUST. We present a robotic setup that can learn to grasp geometrically diverse objects using self-supervision.

• ELEC 571 - Computational Control (COCO)

• ENME 505 - Robotics
• ENME 502 - Mechanical Engineering Capstone Project 2
• ENME 501 - Mechanical Engineering Capstone Project 1

• SE 807 - Machine Learning
• CS 470 - Machine Learning

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