GRASP Lab - UPenn

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

We hope the students from S2STEM  had a wonderful time seeing projects from our lovely GRASP students!A HUGE Thank You t...
08/06/2026

We hope the students from S2STEM had a wonderful time seeing projects from our lovely GRASP students!

A HUGE Thank You to our GRASP lab members for presenting to the STEM students!!!

08/05/2026

GRASP's Kumar Lab has studied the capabilities of the vision transformer (ViT) architecture that maps depth images to velocity commands in both real-world applications and simulations.
Read the study here: https://www.anishbhattacharya.com/research/vitfly

08/03/2026

GRASP's Perception, Action, and Learning group has developed "Planning Exploratory Goals" (PEG), a reinforcement learning agent that sets its goals at training time to maximize exploration.
Website: https://penn-pal-lab.github.io/peg/

GRASP's own Dr. Eric Eaton will serve as managing director for the NSF AI Institute for Human-AI Cooperation (NSF HAIC),...
07/29/2026

GRASP's own Dr. Eric Eaton will serve as managing director for the NSF AI Institute for Human-AI Cooperation (NSF HAIC), a national hub for human-centered AI!

Read Here:
https://www.grasp.upenn.edu/news/nsfhaic/

07/28/2026

Articulate-Anything is a system that automates the articulation of objects from different inputs that include text, images, and videos into high-quality simulations used to train robotic skills. Developed by GRASP's Perception, Action, and Learning Group.
Website: https://articulate-anything.github.io/

We hope the Laboratory for Research on the Structure of Matter (LRSM) and Summer Mentorship Program (SMP) had a wonderfu...
07/23/2026

We hope the Laboratory for Research on the Structure of Matter (LRSM) and Summer Mentorship Program (SMP) had a wonderful time touring the GRASP Lab!
A HUGE Thank you to our wonderful GRASP volunteers who showcased their work to these bright students!

07/22/2026

Scaffolder is a system that enhances reinforcement learning training by exploiting privileged sensing and outperforms or compares to already existing baseline policies. This policy was created by GRASP's Perception, Action, and Learning Group.
Website: https://penn-pal-lab.github.io/scaffolder/

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