RASL PhD students Akshith Ullal and Cadence Watkins have won the “Best student paper award” at the 2021 IEEE Artificial Intelligence and Virtual Reality (AIVR) conference

RASL PhD students Akshith Ullal and Cadence Watkins have won the “Best student paper award” for their paper titled “A Dynamically Weighted Multi-Objective Optimization Approach to Positional Interactions in Remote-Local Augmented/Mixed Realityat the 2021 IEEE Artificial Intelligence and Virtual Reality (AIVR) conference held at Taichung, Taiwan. Their paper was also selected as one of the final four papers nominated for the “Best paper award”. The paper describes a dynamically weighted multi-objective optimization approach for dealing with object-human interactions in remote-local augmented/mixed reality that is more efficient than current state of the art algorithms.

Presentation Link: https://youtu.be/hGTkYm9YuL8

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