A Recurrent Differentiable Engine for Modeling Tensegrity Robots
Trainable with Low-Frequency Data

A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data

28 February 2022

Mridul Aanjaneya

Kostas Bekris

Papers citing "A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data"

4 / 4 papers shown

Title
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions Quanyuan Ruan Jiabao Lei Wenhao Yuan Y. Zhang Dekun Lu Guiliang Liu Kui Jia 59 0 0 14 Mar 2025
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 100 49 0 27 Feb 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
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016