Ahmed H. Qureshi

I am an Assistant Professor in the Department of Computer Science at Purdue University, where I direct the Cognitive Robot Autonomy and Learning (CoRAL) Lab. I am also serving as an Associate Editor for IEEE Robotics & Automation Letters and International Conference on Robotics & Automation (ICRA) 2023. My group performs fundamental and applied research in artificial intelligence, machine learning, and control to design and develop intelligent robotic systems. Our work touches on various problems, including dextrous manipulation and control, motion planning, mobile navigation, human-robot collaboration, autonomous driving, and healthcare. Previously, I received my Ph.D. in Intelligent Systems, Robotics, and Control from the University of California San Diego, M.S. in Engineering from Osaka University, Japan, and B.S. in Electrical Engineering from NUST, Pakistan.

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Research

Our aim is to develop biologically inspired, general-purpose reasoning, planning, and control algorithms for physical, compliant and safe human-robot collaboration in the real, dynamic environments. This research direction is conined as Collaborative Planning and Control, where human biomechanical and cognitive behavior models are taken explicitly into account for decision-making and control.

Task Planning
  • Multiagent task allocation
  • Schedulling
  • Rearragment Planning
  • Probabilistic Programming
Motion Planning
  • Dextrous Manipulation
  • Robot Navigation
  • Multiagent Path Planning
  • Collision Avoidance
  • Robot Control
  • Active Sensing
Human Factors
  • Biomechanical Modeling
  • Cognitive Modeling
  • Safety
  • Trust

Teachings

Collaborations & Partnerships

My team at CoRAL Lab performs fundamental research in the area of Collaborative Planning and Control, where human biomechanical and cognitive behavior models are taken explicitly into account for robots' decision-making and control. Our work aligns closely with the industry for solving a wide range of collaborative, multi-agent, robotics and autonomous driving problems in the natural dynamic world. Our work aligns closely with the industry for solving a wide range of collaborative, multi-agent, robotics and autonomous driving problems in the natural dynamic world.

If you have an idea or are interested in collaboration, please contact us.

Prospective Students

We are actively looking for students/scholars at all levels (BS/MS/PhDs/Post-docs) with a strong relevant background in Robotics, Machine Learning, and Computer Vision. If you are interested in working with me, please fill out this form. Non-Purdue students who are seeking M.S./Ph.D. positions will have to apply online through the PurdueCS admission portal and mention Prof. Ahmed H. Qureshi as a potential advisor.