1 code implementation • 19 Jul 2022 • Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam
We present Theseus, an efficient application-agnostic open source library for differentiable nonlinear least squares (DNLS) optimization built on PyTorch, providing a common framework for end-to-end structured learning in robotics and vision.
Robustness evaluations like our checklist will be crucial in future safety evaluations of visual perception modules, and be useful for a wide range of stakeholders including designers, deployers, and regulators involved in the certification of these systems.
In this paper, we explore how we can endow robots with the ability to learn correspondences between their own skills, and those of morphologically different robots in different domains, in an entirely unsupervised manner.
no code implementations • 8 Feb 2021 • Ryan Magee, Deep Chatterjee, Leo P. Singer, Surabhi Sachdev, Manoj Kovalam, Geoffrey Mo, Stuart Anderson, Patrick Brady, Patrick Brockill, Kipp Cannon, Tito Dal Canton, Qi Chu, Patrick Clearwater, Alex Codoreanu, Marco Drago, Patrick Godwin, Shaon Ghosh, Giuseppe Greco, Chad Hanna, Shasvath J. Kapadia, Erik Katsavounidis, Victor Oloworaran, Alexander E. Pace, Fiona Panther, Anwarul Patwary, Roberto De Pietri, Brandon Piotrzkowski, Tanner Prestegard, Luca Rei, Anala K. Sreekumar, Marek J. Szczepańczyk, Vinaya Valsan, Aaron Viets, Madeline Wade, Linqing Wen, John Zweizig
We present results from an end-to-end mock data challenge that detects binary neutron star mergers and alerts partner facilities before merger.
High Energy Astrophysical Phenomena
In order to incorporate tactile measurements in the graph, we need local observation models that can map high-dimensional tactile images onto a low-dimensional state space.
Digitisation of natural history collections not only preserves precious information about biological diversity, it also enables us to share, analyse, annotate and compare specimens to gain new insights.