2023
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods
Successful applications of complex vision-based behaviours underwater have lagged behind progress in terrestrial and aerial domains. This is …
Ocean Encounters: ROBOTS (Season 5, Episode 4)
Ocean robots are revolutionizing science at sea. Join us to find out how researchers are using increasingly sophisticated autonomous and …
2022
Rapid and Comprehensive Coral Reef Monitoring through Autonomous Underwater Vehicles and Semantic Mapping of the Reef Benthos
Coral reef ecosystems worldwide are rapidly changing due to a host of natural and anthropogenic ecological pressures including climate …
2021
ICRA 2021 Presentation: Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments
We present a solution to multi-robot distributed semantic mapping of novel and unfamiliar environments. Most state-of-the-art semantic …
Communicating Efficiently to Enable Human-Multi-Robot Collaboration in Space Exploration
The future of deep space exploration demands a shift in the current paradigm of robotic planetary exploration. Mission Operators on Earth …
2020
ICRA 2020 Presentation: Active Reward Learning for Co-Robotic Vision Based Exploration
We present a novel POMDP problem formulation for a robot that must autonomously decide where to go tocollect new and …
2019
The Importance of Deep Learning in Robotics Research
Deep learning will play an invaluable role in advancing nearly every field of robotics research.
