Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
Fuente:
arXiv
Saved in:
| Main Authors: | Chrosniak, John, Ning, Jingyun, Behl, Madhur |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CUPID: Curating Data your Robot Loves with Influence Functions
by: Agia, Christopher, et al.
Published: (2025)
by: Agia, Christopher, et al.
Published: (2025)
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
by: Li, Xidong, et al.
Published: (2026)
by: Li, Xidong, et al.
Published: (2026)
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
by: Ai, Bo, et al.
Published: (2024)
by: Ai, Bo, et al.
Published: (2024)
When Does Adaptive Guidance Help? Belief-Aware Privileged Distillation for Autonomous Driving Under Partial Observability
by: Haklidir, Mehmet
Published: (2026)
by: Haklidir, Mehmet
Published: (2026)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)
by: Trinh, Minh, et al.
Published: (2025)
SPACeR: Self-Play Anchoring with Centralized Reference Models
by: Chang, Wei-Jer, et al.
Published: (2025)
by: Chang, Wei-Jer, et al.
Published: (2025)
Autonomous Robotic Swarms: A Corroborative Approach for Verification and Validation
by: Abeywickrama, Dhaminda B., et al.
Published: (2024)
by: Abeywickrama, Dhaminda B., et al.
Published: (2024)
Atomic-Probe Governance for Skill Updates in Compositional Robot Policies
by: Qin, Xue, et al.
Published: (2026)
by: Qin, Xue, et al.
Published: (2026)
Physics-Informed Policy Optimization via Analytic Dynamics Regularization
by: Chandra, Namai, et al.
Published: (2026)
by: Chandra, Namai, et al.
Published: (2026)
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
by: Aida, Adriana, et al.
Published: (2026)
by: Aida, Adriana, et al.
Published: (2026)
SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
by: Shi, Xiang, et al.
Published: (2026)
by: Shi, Xiang, et al.
Published: (2026)
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
by: Chen, Yuxin, et al.
Published: (2024)
by: Chen, Yuxin, et al.
Published: (2024)
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
by: Alhakami, Mohannad, et al.
Published: (2024)
by: Alhakami, Mohannad, et al.
Published: (2024)
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
by: Agia, Christopher, et al.
Published: (2024)
by: Agia, Christopher, et al.
Published: (2024)
Predictive Traffic Rule Compliance using Reinforcement Learning
by: Huang, Yanliang, et al.
Published: (2025)
by: Huang, Yanliang, et al.
Published: (2025)
Energy-Efficient Quadruped Locomotion with Compliant Feet
by: Pal, Pramod, et al.
Published: (2026)
by: Pal, Pramod, et al.
Published: (2026)
Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots
by: Hidalgo, Rafael, et al.
Published: (2024)
by: Hidalgo, Rafael, et al.
Published: (2024)
Conservative Bias in Multi-Teacher Learning: Why Agents Prefer Low-Reward Advisors
by: Mesto, Maher, et al.
Published: (2025)
by: Mesto, Maher, et al.
Published: (2025)
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
by: Howard, Rhys, et al.
Published: (2023)
by: Howard, Rhys, et al.
Published: (2023)
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
by: Long, Yayu, et al.
Published: (2025)
by: Long, Yayu, et al.
Published: (2025)
Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)
by: Chaarani, Alaaeddine, et al.
Published: (2026)
A Framework for Neurosymbolic Robot Action Planning using Large Language Models
by: Capitanelli, Alessio, et al.
Published: (2023)
by: Capitanelli, Alessio, et al.
Published: (2023)
The Shortcomings of Force-from-Motion in Robot Learning
by: Aljalbout, Elie, et al.
Published: (2024)
by: Aljalbout, Elie, et al.
Published: (2024)
The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
by: Aljalbout, Elie, et al.
Published: (2025)
by: Aljalbout, Elie, et al.
Published: (2025)
The State of Robot Motion Generation
by: Bekris, Kostas E., et al.
Published: (2024)
by: Bekris, Kostas E., et al.
Published: (2024)
Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
by: Attolino, Nicholas, et al.
Published: (2025)
by: Attolino, Nicholas, et al.
Published: (2025)
Cost-Aware Diffusion Active Search
by: Banerjee, Arundhati, et al.
Published: (2026)
by: Banerjee, Arundhati, et al.
Published: (2026)
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
by: Wang, Zizhao, et al.
Published: (2024)
by: Wang, Zizhao, et al.
Published: (2024)
Autonomous Control of a Novel Closed Chain Five Bar Active Suspension via Deep Reinforcement Learning
by: Singh, Nishesh, et al.
Published: (2024)
by: Singh, Nishesh, et al.
Published: (2024)
Automated Generation of MDPs Using Logic Programming and LLMs for Robotic Applications
by: Saccon, Enrico, et al.
Published: (2025)
by: Saccon, Enrico, et al.
Published: (2025)
Go Big or Go Home: Simulating Mobbing Behavior with Braitenbergian Robots
by: Sanoubari, Elaheh
Published: (2026)
by: Sanoubari, Elaheh
Published: (2026)
FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
by: Daba, Mohammed, et al.
Published: (2025)
by: Daba, Mohammed, et al.
Published: (2025)
Chance-Constrained MPPI under State and Dynamic Object Prediction Uncertainty and the Evaluation of Collision Risk Calibration
by: Serfling, Benjamin, et al.
Published: (2026)
by: Serfling, Benjamin, et al.
Published: (2026)
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
by: Yao, Huaiyuan, et al.
Published: (2025)
by: Yao, Huaiyuan, et al.
Published: (2025)
CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
by: Römer, Ralf, et al.
Published: (2026)
by: Römer, Ralf, et al.
Published: (2026)
Altered Thoughts, Altered Actions: Probing Chain-of-Thought Vulnerabilities in VLA Robotic Manipulation
by: Trinh, Tuan Duong, et al.
Published: (2026)
by: Trinh, Tuan Duong, et al.
Published: (2026)
Curriculum-Based Iterative Self-Play for Scalable Multi-Drone Racing
by: Akgün, Onur
Published: (2025)
by: Akgün, Onur
Published: (2025)
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
by: Peng, Zhenghao, et al.
Published: (2024)
by: Peng, Zhenghao, et al.
Published: (2024)
Tactile-Proprioceptive Sensor Fusion for Contact Wrench Estimation in Whole-Body Physical Human-Robot Interaction
by: Min, Junha, et al.
Published: (2026)
by: Min, Junha, et al.
Published: (2026)
SPIRAL: Self-Play Incremental Racing Algorithm for Learning in Multi-Drone Competitions
by: Akgün, Onur
Published: (2025)
by: Akgün, Onur
Published: (2025)
Similar Items
-
CUPID: Curating Data your Robot Loves with Influence Functions
by: Agia, Christopher, et al.
Published: (2025) -
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
by: Li, Xidong, et al.
Published: (2026) -
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
by: Ai, Bo, et al.
Published: (2024) -
When Does Adaptive Guidance Help? Belief-Aware Privileged Distillation for Autonomous Driving Under Partial Observability
by: Haklidir, Mehmet
Published: (2026) -
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)