PhD at @GRASPlab UPenn | @iitbombay CSE | Everything robotics
Philadelphia, USA
Joined September 2025
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Our work, Fast Feature Field (F³), has been featured by Penn Engineering @PennEngineers!
Read the news article: engineering.upenn.edu/storie…
Paper: science.org/doi/10.1126/scir…
Website: engineering.upenn.edu/~riche…
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
Happy to announce that F3: Fast Feature Field has been accepted to Science Robotics! Many thanks to Pratik Chaudhari and @KostasPenn.
F3 is a predictive representation for event cameras supporting many robot perception tasks. A default way to process event data. More deets soon
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…
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…