Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective

11 December 2020

Papers citing "Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective"

7 / 7 papers shown

Title
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath Yue Chang Julius Berner Peter Yichen Chen Aniket Bera Aniket Bera AI4CE 63 2 0 04 Jul 2024
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control Moritz Reuss Niels van Duijkeren R. Krug P. Becker Vaisakh Shaj Gerhard Neumann 9 5 0 27 May 2022
Gradient-Based Trajectory Optimization With Learned Dynamics Bhavya Sukhija Nathanael Kohler Miguel Zamora Simon Zimmermann Sebastian Curi Andreas Krause Stelian Coros 28 9 0 09 Apr 2022
A Differentiable Newton-Euler Algorithm for Real-World Robotics M. Lutter Vallijah Subasri Joe Watson Frank Rudzicz 24 7 0 24 Oct 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 424 0 10 Mar 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm Giovanni Sutanto Austin S. Wang Yixin Lin Mustafa Mukadam Gaurav Sukhatme Akshara Rai Franziska Meier 88 54 0 24 Jan 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 148 408 0 25 Sep 2019