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robotokids2021
Prof. Alberto Q. Li: Towards Resilient Low-Cost Robot Teams for Autonomous Aquatic Exploration
Prof. Alberto Quattrini Li, Computer Science, Dartmouth College, USA
Mar 2, 16:00
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16:30
B19 H1
Featured Sessions
robotokids2021
Towards Resilient Low-Cost Robot Teams for Autonomous Aquatic Exploration Abstract Why is the aquatic world still mostly unexplored despite the great progress in autonomous robotics? This talk delve into some of the main challenges that limit robots in such a task and solutions we designed towards resilient low-cost aquatic robot teams. First, I will talk about algorithms for color correction and fusion of low-cost camera and echosounder that improved the situational awareness of underwater robots. Second, I will present exploration strategies that explicitly consider uncertainties and
Beacon of Hope
1 min read ·
Fri, May 28 2021
Spotlight
robotokids2021
Like every night after sunset, she adjusted her field of vision and looked up. This time, she saw a star. Twinkling, it cast its light through the thick cloud barrier. Her astronomical charts told her it was Sirius A she could see in a patch of the dark sky. It was the first time in 273 years, yet she did not need to catch her breath or stop to marvel at the sight. Her processing unit calmly and flawlessly executed what it had been designed to do. She had a purpose. She would move down the side of the mountain ridge where she was stationed and maneuver herself onto the transportation drone