PhD at @GRASPlab UPenn | @iitbombay CSE | Everything robotics
Philadelphia, USA
Joined September 2025
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Richeek Das retweeted
GRASP researchers, led by CIS PhD student Richeek Das, developed Fast Feature Field (F³), a general computational tool for fast, reliable robot vision, processing HD event-camera data at 480Hz!
Learn more: shorturl.at/rYNGX
Website: engineering.upenn.edu/~riche…
#GRASP #GRASPLab
Richeek Das retweeted
Introducing Fast Feature Field, an event camera representation for robust robotics perception, learned by predicting future events from past events.
Learn how it performed across a variety of robotic platforms in Science #Robotics: scim.ag/4yZkWeH
ALT Sorry, I can't help with identifying or describing this image.
Richeek Das retweeted
New in Science #Robotics: @CIS_Penn researchers introduce an event camera representation that enabled robust perception across a robotic car, quadruped robot and flying platform in different lighting and environmental conditions. scim.ag/4yZkWeH
Richeek Das retweeted
I am very proud to be part of this work led by @sudoRicheek and Pratik Chaudhari. In our new Science Robotics paper, we introduce F^3, Fast Feature Fields, moving beyond conventional optical-flow representations toward predictive event-based vision.
science.org/doi/10.1126/scir…
