Imagen de Portada

The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pandey, Pravin, Reuter, Julia, Steup, Christoph, Mostaghim, Sanaz
Formato:	Preprint
Publicado:	2025
Materias:	Robotics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

PREVENT-JACK: Context Steering for Swarms of Long Heavy Articulated Vehicles
por: Baruck, Adrian, et al.
Publicado: (2026)

Shape Constraints in Symbolic Regression using Penalized Least Squares
por: Martinek, Viktor, et al.
Publicado: (2024)

AVOID-JACK: Avoidance of Jackknifing for Swarms of Long Heavy Articulated Vehicles
por: Schönnagel, Adrian, et al.
Publicado: (2025)

Unit-Aware Genetic Programming for the Development of Empirical Equations
por: Reuter, Julia, et al.
Publicado: (2024)

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks
por: Lim, Dong-Won
Publicado: (2026)

DisGNet: A Distance Graph Neural Network for Forward Kinematics Learning of Gough-Stewart Platform
por: Zhu, Huizhi, et al.
Publicado: (2024)

Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts
por: Kalithasan, Namasivayam, et al.
Publicado: (2024)

Interpretable Robotic Friction Learning via Symbolic Regression
por: Scholl, Philipp, et al.
Publicado: (2025)

IKDiffuser: a Diffusion-based Generative Inverse Kinematics Solver for Kinematic Trees
por: Zhang, Zeyu, et al.
Publicado: (2025)

Adaptive Inverse Kinematics Framework for Learning Variable-Length Tool Manipulation in Robotics
por: Kothavale, Prathamesh, et al.
Publicado: (2025)

ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking
por: Meng, Qinglong, et al.
Publicado: (2024)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
por: Lv, Qi, et al.
Publicado: (2025)

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
por: Sharifi, Iman, et al.
Publicado: (2023)

Rethinking Inductive Bias in Geographically Neural Network Weighted Regression
por: Chen, Zhenyuan
Publicado: (2025)

An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model
por: Nagariya, Akhil, et al.
Publicado: (2020)

Inverting Non-Injective Functions with Twin Neural Network Regression
por: Wetzel, Sebastian J.
Publicado: (2026)

Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm
por: Adediran, Enoch, et al.
Publicado: (2024)

Learning Autonomy: Off-Road Navigation Enhanced by Human Input
por: Nagariya, Akhil, et al.
Publicado: (2025)

Lyapunov Stability Learning with Nonlinear Control via Inductive Biases
por: Lu, Yupu, et al.
Publicado: (2025)

Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
por: Xie, Fengze, et al.
Publicado: (2024)

Orientation-Free Neural Network-Based Bias Estimation for Low-Cost Stationary Accelerometers
por: Levin, Michal, et al.
Publicado: (2025)

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning
por: Lai, Matthew, et al.
Publicado: (2025)

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics
por: Poland, David J
Publicado: (2025)

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

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
por: Acero, Fernando, et al.
Publicado: (2024)

Neural Cellular Automata for Decentralized Sensing using a Soft Inductive Sensor Array for Distributed Manipulator Systems
por: Dacre, Bailey, et al.
Publicado: (2025)

Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion
por: Yi, Zongyao, et al.
Publicado: (2025)

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models
por: Zheng, Zihao, et al.
Publicado: (2026)

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
por: Jiao, Ruochen, et al.
Publicado: (2023)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
por: Keller, Leon, et al.
Publicado: (2025)

Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network
por: Liu, Jijia, et al.
Publicado: (2025)

Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers
por: Ahmetoglu, Alper, et al.
Publicado: (2023)

Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots
por: Chen, Zongyuan, et al.
Publicado: (2025)

Generation of Uncertainty-Aware High-Level Spatial Concepts in Factorized 3D Scene Graphs via Graph Neural Networks
por: Millan-Romera, Jose Andres, et al.
Publicado: (2024)

Structured Imitation Learning of Interactive Policies through Inverse Games
por: Sun, Max M., et al.
Publicado: (2025)

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
por: Chen, Letian, et al.
Publicado: (2022)

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
por: Luo, Yuhao, et al.
Publicado: (2024)

Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations
por: Mehrdad, Sarmad, et al.
Publicado: (2025)

Toward Global Intent Inference for Human Motion by Inverse Reinforcement Learning
por: Mehrdad, Sarmad, et al.
Publicado: (2026)

An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning
por: Srisuchinnawong, Arthicha, et al.
Publicado: (2025)