GRASP Lab

GRASP Lab

@grasplab.bsky.social

Founded in 1979, the GRASP Laboratory is an interdisciplinary academic and research center, and premiere robotics incubator within Penn Engineering.

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We hope everyone had a wonderful time at the GRASP & Pennovation Works 2026 Pumpkin Paint N' Sip Event! Who said Engineers couldn't be creative?! See you all again next year!!! #GRASP #GRASPLab #PumpkinPaintNSip

It was wonderful to have Penn Engineering's Development and Alumni Relations office visit the GRASP Lab today! We also want to thank our amazing GRASP students who presented their research to our visitors! #GRASP #GRASPLab #GRASPTours

We hope the parents and students from Reach Cyber Charter School had a wonderful time touring the GRASP Lab! A BIG Thank You to the wonderful GRASP students who presented at the tour today! #GRASP #GRASPLab #GRASPTour

CONGRATULATIONS to GRASP's own Dr. Vijay Kumar on receiving the 2026 A.C. Eringen Medal at the Society of Engineering Science 2026 Annual Technical Meeting in recognition of sustained outstanding achievements in Engineering Science! Link: socengsci.org/eringen-medal/ #GRASP #GRASPLab #EringenMedal

Last Friday's Fall 2026 GRASP Industry Day ended with tabling and networking sessions featuring 11 companies from the robotics industry. We hope our lab members made some great connections! Thank you to all those who attended! #GRASP #GRASPLab #GRASPIndustryDay

Our Fall 2026 GRASP Industry Day kicked off this morning with presentations from 9 companies in the robotics industry! We hope our lab members were excited to learn more about their work before our upcoming networking portion of the day! #GRASP #GRASPLab #GRASPIndustryDay

The GRASP Lab is proud to announce the signing of a new Master Research Agreement with Singapore's Defence Science and Technology Agency (DSTA). This collaboration marks another major step forward for multi-robot systems! Read more here: shorturl.at/fRxgI #GRASP #GRASPLab

CONGRATULATIONS to Sung Lab's Gabe Unger, Ellen Li, Sophie Lin, and Dr. Cynthia Sung on receiving the 2026 IROS Best Paper Award on Robot Mechanisms and Design for their co-publication with Allison Okamura's CHARM LAB at Stanford! Paper: shorturl.at/CRBSb #GRASP #GRASPLab #BestPaperAward #IROS2026

CONGRATULATIONS to GRASP's own Pei-An Hsieh (ESE PhD) and Fengjun Yang (CIS PhD '26) and their advisors, Dr. M. Ani Hsieh and Dr. Nikolai Matni, on receiving the IROS 2026 Best Student Paper Award!!! Read the paper here: arxiv.org/abs/2607.12275 #GRASP #GRASPLab #BestStudentPaperAward #IROS2026

We at the GRASPLab are pleased to announce our capstone partnership with PrismaX! With PrismaX's support, we will empower the next generation of robotic researchers to explore reinforcement learning for adaptive robot policies!

We hope the students from Wilmington Montessori School and Friends Select School had a wonderful time during their tour of the GRASP Lab today! A HUGE Thank You to all of our lab members who presented their research! #GRASP #GRASPLab #GRASPTour

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: evmapper.fcladera.com #GRASP #GRASPLab #GRASPResearchers

We hope everyone had a wonderful time at the GRASP Welcome Back BBQ! Wishing you all a wonderful start to the semester!!! #GRASP #GRASPLab #GRASPBBQ #Fall2026

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”. #GRASP #GRASPLab

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: m3ed.io #GRASP #GRASPLab #GRASPResearchers

OmniGuide is a GRASP collaborative project to build a flexible framework that improves Vision-language-action (VLA) model performance, such as 3D foundation models, semantic reasoning VLMs, and human pose models. Website: omniguide.github.io #GRASP #GRASPLab