Mapping for Field Robotics - Hanumant Singh, Northeastern University

Explore the evolution of high-resolution mapping in field robotics over the past 25 years in this research seminar. Delve into examples from global expeditions in Marine Archaeology, Marine Geology, Fisheries Science, and Polar Studies, examining the role of SLAM and other methodologies. Discover their strengths and limitations in mapping, and learn about recent work in light fields for robotics as a potential solution to address these deficiencies. Gain insights from Professor Hanumant Singh's extensive experience in designing and building autonomous underwater and surface vehicles, as well as his involvement in numerous oceanic expeditions. Understand the challenges and advancements in underwater optical imaging, vehicle noise reduction, and machine learning applications in marine environments. Investigate the complexities of polar robotics, emergency recovery techniques, and the unique challenges posed by low-contrast environments. Explore the concept of dynamic objects in SLAM and the potential of light field approaches in addressing these issues.

SEMINAR SERIES WINTER 2021 INTERNET OF ROBOTIC THINGS
Marine and Polar Robotics - Where we have been, where we are and where we are going
Optical Imaging Underwater
The solution? SeaBed AUV
Camouflage - do you see the Skate?
Progress in breaking Camouflage
Segmentation
Classification
Vehicle Noise - Acoustic, Pressure Wave, Light
Machine Learning for Marine Applications
BIPOLAR ROBOTICS
Emergency Recovery
What did we Find?
The Second Law of Field Robotics
Low Contrast Environments
Melt Rate - Change Detection over Time
Dynamic Objects in SLAM-A Light Fields Approach
Acknowledgements