This website has moved to corallab.net
Purdue's Cognitive Robot Autonomy & Learning (CoRAL) Lab
Active Projects
We perform fundamental and applied research in machine learning, computer vision, and artificial intelligence to design and develop intelligent robotic systems. Our work touches on various problems, including dextrous manipulation and control, mobile navigation, human-robot collaboration, autonomous driving, and healthcare. The active projects include, but are not limited to:
- Planning for Scalable Reinforcement Learning
- Optimization-based Multi-agent Task and Motion planning
- Learning-based Deformable Object Manipulation
- Fast Visual Navigation in Dynamic, Adversarial Environments
- Multimodal Tactile-Visual Active Sensing
- Vision-based Semantic Robot Grasping & Control
- Human-centered Robot Mobile Manipulation for Collaboration Tasks
- Differentiable Simulation for Visuomotor Control
Prospective Students, Scholars & Collaborators
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.
For collaborations and joint partnership: Our work aligns closely with the industry for solving a wide range of collaborative robotics and autonomous driving tasks in the natural dynamic world. If you have an idea or are interested in collaboration, please contact us.