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Category: Deep Learning

Autonomous Vehicles / Customers / Deep Learning

PhysicsAI awarded Phase II SBIR contract for Robotic Following using Deep Learning

In this Phase II project, PhysicsAI will develop, integrate, and demonstrate a prototype system that can incrementally learn robotic following behaviors on a large vehicle, using deep learning algorithms and …

Deep Learning / Publications

Spatio-Temporal Deep Learning for Robotic Visuomotor Control

Research paper published by IEEE in the Proceedings of the 4th International Conference on Control, Automation and Robotics (ICCAR 2018) and presented at Auckland University Of Technology. To perform accurate …

Deep Learning / Publications / Robotics

End-to-End Deep Learning for Robotic Following

Research paper presented at the 2018 International Conference on Robotics and Intelligent System (ICRIS 2018) in Amsterdam and won a best paper award. Published by ACM in the ICMSCE 2018 …

Customers / Deep Learning / Robotics

PhysicsAI awarded Phase I SBIR contract for Robotic Following using Deep Learning

The Phase I effort will develop a concept design for a system using lifelong deep learning and inexpensive COTS sensors to perform robotic following with large vehicles. SBIR Topic A16-120 …

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