Perception, Robotics, AI and Sensing Lab
Welcome to Perception, Robotics, AI and Sensing (PRAISe) Lab, led by Prof. Chahat Deep Singh.
We work at the intersection of perception, robotics, artificial intelligence, and computational imaging to push the boundaries of robot autonomy. Our Minimal Perception framework focuses on developing small, intelligent, and efficient robot-navigation systems through active and bio-inspired perception, novel sensing, and onboard computation.
Prospective students can review the lab's current opportunities on the Open Positions page.
Recent News
Research highlights, publications, talks, and lab announcements.
Paper Presented in IROS 2026 (Workshop) | Fold-to-Fit
Fold-to-Fit: Propeller Interaction and Control of a Coaxial-Bicopter Quadrotor by Pravesh Rana Vadapalli was presented at the IROS 2026 Workshop on Insect-scale Autonomy in Pittsburgh, PA.
Best Poster Award at IROS 2026 (Workshop) | TinyFlow
TinyFlow: Breaking the Warping Bottleneck for Edge Optical Flow by Xiao'ao Song won the Best Poster Award at the IROS 2026 Workshop on Insect-scale Autonomy in Pittsburgh, PA, as voted by the workshop attendees.
IROS Workshop accepted | Insect-scale Autonomy
The IROS workshop on Insect-scale Autonomy was held in Pittsburgh, PA on Oct 1, 2026.
Paper Presented in ICRA 2026 (Workshop)
Safety-Bounded Space Robot Navigation via Vision-Language Model Integration was presented in ICRA SpaRo Workshop 2026.
Served as Editor for MDPI Drones
Prof. Chahat Singh served as an editor for MDPI Special Issue - 'From Nature to Flight - Bio-Inspired UAV Design and Intelligence'
Served as AE for IROS 2026
Prof. Chahat Singh served as Associate Editor for IROS 2026
Granted Google Cloud Credits
PRAISe Lab were granted Google Cloud Research Credits for Drone Autonomy Research
New Course - AI for Engineers
An advanced cross-listed undergraduate and graduate course that develops the mathematical foundations and engineering practice of classical machine learning through modern deep learning.