GRASP Lab - UPenn

GRASP Lab - UPenn A page for the students, faculty, alumni and friends of the GRASP Lab at the University of Pennsylvania.

Thank you all for coming to the GRASP Research Overview Day 1! We hope this seminar gave you a sneak peek at who we are ...
09/04/2026

Thank you all for coming to the GRASP Research Overview Day 1! We hope this seminar gave you a sneak peek at who we are as the GRASP Lab!
See you next Friday for Day 2!!!
Recording: https://youtu.be/aTUOtiWvpuM

08/28/2026

GRASP's Kumar Lab collaborated with researchers from MIT's Department of Aeronautics and Astronautics to develop a new algorithm to find optimized, safe flight paths for robots by mapping areas and planning collision-free trajectories.

Video: https://www.youtube.com/watch?v=Pvb-VPUdLvg&t=8s

08/27/2026

EvMAPPER is a GRASP collaborative project that introduces the first orthomosaic approach for event cameras, enabling map generation even in challenging light conditions such as direct sunlight or after sunset.
Website: https://evmapper.fcladera.com/

08/26/2026

GRASP's Kumar Lab developed a novel learning-based trajectory planning framework for quadrotors that optimizes their trajectory by changing the optimization problem into a quadratic programming problem.

Video: https://www.youtube.com/watch?v=tA02dJz9ux8&t=21s

We hope everyone had a wonderful time at the GRASP Welcome Back BBQ! Wishing you all a wonderful start to the semester!!...
08/25/2026

We hope everyone had a wonderful time at the GRASP Welcome Back BBQ! Wishing you all a wonderful start to the semester!!!

Congratulations to GRASP's own Dr. Lingjie Liu on receiving the 2026 ACM SIGGRAPH Significant New Researcher Award, for ...
08/21/2026

Congratulations to GRASP's own Dr. Lingjie Liu on receiving the 2026 ACM SIGGRAPH Significant New Researcher Award, for her "outstanding contributions to neural representations, human performance capture and animation, and 3D reconstruction”.
Read More: https://www.grasp.upenn.edu/news/significant-new-researcher-award/

08/19/2026

Researchers at GRASP have developed M3ED, a multi-sensor event camera that provides high-quality, synchronized, and labeled data that can be used on multiple robotic platforms.
Website: https://m3ed.io/

08/18/2026

The Perception, Action, and Learning Group has found that sensory information is rarely task-critical in many commonly studied task setups. Read more on their findings:
https://sites.google.com/view/vosi-robotics/

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