PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving

2 April 2024

Papers citing "PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving"

7 / 7 papers shown

Title
MonoForce: Learnable Image-conditioned Physics Engine R. Agishev Karel Zimmermann 90 0 0 14 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 86 9 0 28 Jan 2025
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation Taimeng Fu Zitong Zhan Zhipeng Zhao Shaoshu Su Xiao Lin Ehsan Esfahani Karthik Dantu Souma Chowdhury Chen Wang 88 1 0 22 Jan 2025
iKap: Kinematics-aware Planning with Imperative Learning Qihang Li Zhuoqun Chen Haoze Zheng Haonan He Shaoshu Su Junyi Geng Chen Wang Chen Wang 106 4 0 12 Dec 2024
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks Matthew Sivaprakasam Parv Maheshwari Mateo Guaman Castro S. Triest Micah Nye Steven Willits Andrew Saba Wenshan Wang Sebastian A. Scherer 43 13 0 02 Feb 2024
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments Xiaoyi Cai Michael Everett Lakshay Sharma Philip R. Osteen Jonathan P. How 30 37 0 01 Oct 2022
PyPose: A Library for Robot Learning with Physics-based Optimization Chen Wang Dasong Gao Kuan Xu Junyi Geng Yaoyu Hu ... Jiajun Wu Lihua Xie Luca Carlone Marco Hutter Sebastian Scherer PINN AI4CE 58 42 0 30 Sep 2022