by RLE at MIT | Sep 8, 2020 | RLE Recent Papers
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer DOI: 10.1109/MSSC.2020.3002140 Abstract: A significant amount of specialized hardware has been developed for processing deep neural networks (DNNs) in both academia and industry. This article aims to...
by RLE at MIT | Sep 8, 2020 | RLE Recent Papers
Zhengdong Zhang, Theia Henderson, Sertac Karaman, and Vivienne Sze DOI: 10.1177/0278364920921941 Abstract: Exploration tasks are embedded in many robotics applications, such as search and rescue and space exploration. Information-based exploration algorithms aim...
by RLE at MIT | Sep 8, 2020 | RLE Recent Papers
James Noraky, Vivienne Sze DOI: 10.1109/TCSVT.2019.2907904 Abstract: Depth sensing is useful in a variety of applications that range from augmented reality to robotics. Time-of-flight (TOF) cameras are appealing because they obtain dense depth measurements with...
by RLE at MIT | Mar 5, 2020 | RLE Recent Papers
Soumya Sudhakar, Sertac Karaman, Vivienne Sze PDF Abstract: We study a novel class of motion planning problems, inspired by emerging low-energy robotic vehicles, such as insect-size flyers, chip-size satellites, and high-endurance autonomous blimps, for which the...
by RLE at MIT | Mar 5, 2020 | RLE Recent Papers
Theia Henderson, Vivienne Sze, Sertac Karaman PDF Abstract: Exploration of unknown environments is embedded and essential in many robotics applications. Traditional algorithms, that decide where to explore by computing the expected information gain of an...