Publications


Dec 13, 2022
RoboBeeHive featured on IEEE Spectrum

The latest buzz at the University of Maryland? Tiny, autonomous drones that harness the power of artificial intelligence to work together. In this case, the minute robots could one day provide backup to pollinators like honey bees, potentially securing the world’s food crops as these critical insect species face challenges from fungal disease, pesticides and climate change. The project is led by doctoral student Chahat Deep Singh M.E. ’18 of the Perception and Robotics Group, led by Professor Yiannis Aloimonos and Research Scientist Cornelia Fermüller.


Mar 14, 2022
TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact

Distance estimation from vision is fundamental for a myriad of robotic applications such as navigation, manipulation and planning. Inspired by the mammal's visual system, which gazes at specific objects, we develop two novel constraints involving time-to-contact, acceleration, and distance that we call the tau-constraint and Phi-constraint which allow an active (moving) camera to estimate depth efficiently and accurately while using only a small portion of the image.

Code Code

Dec 8, 2022
How to 'Bee' a Robot

AI Research Aims to Provide Backup to Pollinators: The latest buzz at the University of Maryland? Tiny, autonomous drones that harness the power of artificial intelligence to work together. The solution to securing the world's food crops may lie within these tiny drones, which autonomously mimic pollinators like honey bees.


                 

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