A Differentiable Newton-Euler Algorithm for Real-World Robotics

24 October 2021

Papers citing "A Differentiable Newton-Euler Algorithm for Real-World Robotics"

8 / 8 papers shown

Title
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction Peter Yichen Chen Chao Liu Pingchuan Ma John Eastman Daniela Rus Dylan Randle Yuri Ivanov Wojciech Matusik 41 0 0 04 Oct 2024
6N-DoF Pose Tracking for Tensegrity Robots Shiyang Lu W. R. Johnson Kun Wang Xiaonan Huang Joran W. Booth Rebecca Kramer‐Bottiglio Kostas Bekris 4 1 0 29 May 2022
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
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics Fei Liu Ming Li Jingpei Lu Entong Su Michael C. Yip AI4CE 6 6 0 15 Jan 2022
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 52 26 0 29 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 364 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 86 54 0 24 Jan 2020