Towards Battery-Free Machine Learning and Inference in Underwater Environments

no code implementations • 16 Feb 2022 • Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi

This paper is motivated by a simple question: Can we design and build battery-free devices capable of machine learning and inference in underwater environments?

BIG-bench Machine Learning

Robotic Grasping of Fully-Occluded Objects using RF Perception

no code implementations • 31 Dec 2020 • Tara Boroushaki, Junshan Leng, Ian Clester, Alberto Rodriguez, Fadel Adib

We present the design, implementation, and evaluation of RF-Grasp, a robotic system that can grasp fully-occluded objects in unknown and unstructured environments.

Efficient Exploration Robotic Grasping