Alyosha Molnar — accepted AI-conference papers

2022

Mapping Unknown Environments With Instrumented Honey Bees

Haron Abdel-Raziq, Daniel Palmer, Alyosha Molnar, Kirstin Petersen

ICRA 2022poster

Recent innovations in miniature sensors are driving a shift from robotic to bio-hybrid systems for exploration of unstructured environments. The ubiquity of honey bees in modern agriculture and ecology along with their superior agility, olfactory sense, and collective foraging skills make them a pro…

Cited by 1 Source ↗Scholar ↗

2016

ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels

Huaijin G. Chen, Suren Jayasuriya, Jiyue Yang, Judy Stephen, Sriram Sivaramakrishnan, Ashok Veeraraghavan +1

CVPR 2016oral

Deep learning using convolutional neural networks (CNNs) is quickly becoming the state-of-the-art for challenging computer vision applications. However, deep learning's power consumption and bandwidth requirements currently limit its application in embedded and mobile systems with tight energy budge…

Cited by 100 PDF ↗Scholar ↗