Cover Image

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ni, Ruiqi, Pan, Zherong, Qureshi, Ahmed H
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics-informed Neural Motion Planning on Constraint Manifolds
by: Ni, Ruiqi, et al.
Published: (2024)

Weakly-supervised Learning for Physics-informed Neural Motion Planning via Sparse Roadmap
by: Ni, Ruiqi, et al.
Published: (2026)

Physics-informed Neural Mapping and Motion Planning in Unknown Environments
by: Liu, Yuchen, et al.
Published: (2024)

Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments
by: Liu, Yuchen, et al.
Published: (2025)

Physics-informed Goal-Conditioned Reinforcement Learning under Hybrid Contact Dynamics
by: Giammarino, Vittorio, et al.
Published: (2026)

Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
by: Giammarino, Vittorio, et al.
Published: (2025)

Physics-informed Neural Time Fields for Prehensile Object Manipulation
by: Ren, Hanwen, et al.
Published: (2025)

Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning
by: Chen, Qingyi, et al.
Published: (2025)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)

Robust Point Cloud Reinforcement Learning via PCA-Based Canonicalization
by: Bezick, Michael, et al.
Published: (2025)

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
by: Giammarino, Vittorio, et al.
Published: (2025)

ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning
by: Kim, Daehwa, et al.
Published: (2024)

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
by: Zhang, Zengjie, et al.
Published: (2023)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
by: Kolomeytsev, Yury, et al.
Published: (2025)

Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments
by: Machado, Mateus G., et al.
Published: (2024)

Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks
by: Salfity, Jonathan, et al.
Published: (2024)

Riemannian Flow Matching Policy for Robot Motion Learning
by: Braun, Max, et al.
Published: (2024)

RobotDiffuse: Diffusion-Based Motion Planning for Redundant Manipulators with the ROP Obstacle Avoidance Dataset
by: Mou, Xudong, et al.
Published: (2024)

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2025)

Collision Probability Distribution Estimation via Temporal Difference Learning
by: Steinecker, Thomas, et al.
Published: (2024)

Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks
by: Wang, Yizheng, et al.
Published: (2025)

RoboArm-NMP: a Learning Environment for Neural Motion Planning
by: Jurgenson, Tom, et al.
Published: (2024)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments
by: Mohammad, Nicholas, et al.
Published: (2024)

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Agent Motion Planning
by: Chen, Qingyi, et al.
Published: (2025)

BOMP: Bin-Optimized Motion Planning
by: Tam, Zachary, et al.
Published: (2024)

Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion Planning
by: Guillen-Perez, Antonio
Published: (2025)

Onboard Mission Replanning for Adaptive Cooperative Multi-Robot Systems
by: Kwan, Elim, et al.
Published: (2025)

Cascaded Diffusion Models for Neural Motion Planning
by: Sharma, Mohit, et al.
Published: (2025)

Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance
by: Lee, Kin Man, et al.
Published: (2024)

IRIS: Learning-Driven Task-Specific Cinema Robot Arm for Visuomotor Motion Control
by: Cheng, Qilong, et al.
Published: (2026)

CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence
by: Zhao, Yu, et al.
Published: (2025)

Sum of Costs Diffusion with Dynamic Guidance for Motion Planning
by: Kaplan, Aysu Aylin, et al.
Published: (2026)

KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
by: Li, Alice Kate, et al.
Published: (2025)

Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning
by: Bi, Yuan, et al.
Published: (2024)

Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans
by: Wang, Jingwen, et al.
Published: (2026)

Natural Humanoid Robot Locomotion with Generative Motion Prior
by: Zhang, Haodong, et al.
Published: (2025)

Guided Decoding for Robot On-line Motion Generation and Adaption
by: Chen, Nutan, et al.
Published: (2024)

Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
by: Wang, Xian, et al.
Published: (2024)

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
by: Chopra, Mudit, et al.
Published: (2024)