Danyal Saqib

I am a MSc student at the University of Calgary, with research focusing on Robotics and Controls. I am a part of the Calgary Human-Robot Collaboration (CHRC) Lab, supervised by Dr. Marie Charbonneau. My research focuses on control algorithms that can make physical human-robot interaction safe, by behaving compliantly (or softly) in response to human contact.

I previously completed my Bachelor's degree in Electrical Engineering from SEECS, NUST. I completed my undergraduate thesis under the supervision of 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 energy-based control methods for safe physical human-robot interaction (pHRI), that can guarantee energy limitation for robotic manipulators both within and outside of contact scenarios. 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

Jan. '25  

I have successfully defended my Master's Thesis at the University of Calgary!

Sep. '24  

Our Abstract submitted for the Alberta RISE Conference 2024 has been accepted for a Poster Presentation!

Jun. '23  

Excited to have taken part in the Montreal Robotics Summer School 2023 program this summer!

Publications

Poster Presentations

Adaptive PD Gains for Energy-Conscious Control
Danyal Saqib, Marie Charbonneau
Alberta RISE Conference, 2024

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.

Theses

Adaptive PD Gains for Energy-Conscious Control in Physical Human-Robot Interaction
Danyal Saqib
University of Calgary, 2025

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.

Self Supervised Deep Learning for Robot Grasping
Danyal Saqib
SEECS, NUST, 2021

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.


Teaching

University of Calgary: Teaching Assistant
  • ENME 505 - Robotics
  • ENME 502 - Mechanical Engineering Capstone Project 2
  • ENME 501 - Mechanical Engineering Capstone Project 1
SEECS, NUST: Teaching Assistant
  • SE 807 - Machine Learning
  • CS 470 - Machine Learning

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