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.
1 code implementation • 22 Feb 2022 • Franziska Meier, Austin Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah
Building differentiable simulations of physical processes has recently received an increasing amount of attention.
no code implementations • 15 Oct 2018 • Tanmay Randhavane, Aniket Bera, Emily Kubin, Austin Wang, Kurt Gray, Dinesh Manocha
We present a Pedestrian Dominance Model (PDM) to identify the dominance characteristics of pedestrians for robot navigation.
Robotics
