Overview

Vehicle-dynamics research models how forces and motion interact, helping predict behavior and keep cars, trucks, motorcycles, and mobile robots safe and controllable. Approaches range from physics-based bicycle, tire, and multibody models to learned or hybrid methods such as Gaussian processes, Koopman models, and neural state-space models, often informed by system identification and onboard sensors. These models support model predictive control, stability and safety constraints, and reinforcement learning in settings from autonomous racing to rough terrain, with evaluation in simulation and on real vehicles. A central challenge is ensuring that accurate predictions also produce reliable closed-loop control across changing surfaces, speeds, and vehicle configurations without sacrificing safety for performance.

Latest papers

CardsList

77 papers11 papers in the last four weeks, down 21% on the four weeks before. 0.1% of all new papers.

  1. A Differentiable Chassis Safety Layer for Intelligent Vehicle Motion Control

    Oct 24, 2026Lu Xiong, Xuge Hu, Yufei Song +2Safety-Critical ControlAutonomous Driving

  2. SCET-CBF: Speed-Calibrated Soft Guidance for One-Step Dynamic Navigation

    Oct 24, 2026Xiaoyu Han, Dongkun HanDynamic Obstacle AvoidanceCollision Avoidance

  3. Sensitivity-Orthogonal Residual Learning for Adaptive Sideslip and Cornering Stiffness Estimation

    Oct 20, 2026Kyoungtae Ji, Dongyeol Won, Kyoungseok HanVehicle DynamicsResidual Dynamics Learning

  4. Slip-Induced Fall Suppression During Cornering for a Remotely Operated Motorcycle with a Rear-Wheel-Swing Mechanism

    Oct 15, 2026Tadashi Sumioka, Kazushi Akimoto, Takuya Tsujimura +2Vehicle Dynamics

  5. Model-Based Trailer-Sway Suppression for Autonomous Passenger Vehicles

    Oct 11, 2026Alec McFadyen, Pablo Covarrubias De La Torre, Connor McGovernVehicle DynamicsAutonomous Driving

  6. MAP2: Model- and Acceleration-Based Pursuit with MPC and Gaussian Process Residual Learning for Autonomous Racing

    Oct 8, 2026Weizhan Huang, Cheng Hu, Edoardo Ghignone +5Autonomous RacingVehicle Dynamics

  7. Energy-Aware Path Following: Comparative Analysis of Reinforcement Learning and NMPC for Electric Vehicles

    Oct 6, 2026Mohamed Sabaa, Mostafa EmamRobot Trajectory TrackingNonlinear MPC

  8. LLA-MPC on Embedded Hardware: Rapid Adaptive Control with Thousands of Parallel Models

    Oct 2, 2026Henry Z. Liao, Maitham F. AL-Sunni, John M. DolanAdaptive MPCModel Predictive Control

  9. SceneFactory-3D: Lifting 2D Traffic Scenes into 3D Physical Counterfactuals for Scalable Physically Grounded Safety Evaluation

    Oct 2, 2026Yicheng Zhu, Linfeng Tian, Tianmu Zhao +4Autonomous Driving SimulationAutonomous Driving Safety Evaluation

  10. Path-Following Control and Terramechanics Analysis for Planetary Rovers Under Wheel-to-Wheel Traction Asymmetry

    Sep 30, 2026Ryuya Matsuoka, Keisuke Takehana, Kentaro Uno +2Robot Trajectory TrackingSpace Robotics

  11. TriDrive: Joint Driver, Vehicle, and Road Modeling for Forecasting and Driver Monitoring

    Sep 26, 2026Yuhang Wang, Jingxin Yang, Chuheng Wei +4Driver MonitoringAutonomous Driving

  12. Differentiable Dynamics for Autonomous Micro-Mobility Navigation

    Sep 25, 2026Grace Cai, Joey Lee, Nithin Parepally +2Vehicle DynamicsDifferentiable Physics

  13. Gray-Box Model Predictive Control for Articulated Dump Trucks via Gaussian Process Learning of Sideslip

    Sep 23, 2026Arash Shahirpour, Jens Ahlers, Christopher Schulte +1Model Predictive ControlVehicle Dynamics

  14. Minimum Time Trajectories for a Car-Like Mobile Robot Moving with Rigid Wheels Under Non-Sliding Constraints

    Sep 21, 2026Joseph Ben-Asher, Elon Rimon, Leeor RavinaConstrained Motion PlanningTrajectory Optimization

  15. Steering Through Contact: A Finite-Support Motion Model for Single-Track Center-Articulated Robots

    Sep 20, 2026Mohamed Dhia Ounally, Nicolas Samson, Mathis Turgeon-Roy +3Robot Motion PredictionRobotics

  16. Optimal Excitation Trajectories for System Identification of Underwater Vehicles

    Sep 15, 2026Fotis Panetsos, Kostas J. KyriakopoulosRobot Dynamics IdentificationTrajectory Optimization

  17. Comfort by Construction: Adaptive, Comfort-Bounded Action Spaces for Learned Driving Policies

    Sep 11, 2026Anna Rothenhäusler, Daniel Jost, Raghu Rajan +4Constrained RLVehicle Dynamics

  18. High-Fidelity Multi-Body Simulator for Autonomous Racing

    Sep 11, 2026Nicola Musiu, Francesco Iacovacci, Fausto Lupo +11Autonomous RacingVehicle Dynamics

  19. Quantifying Spectral Differences in Vehicle Kinematics Between Production Autonomous and Human-Driven Vehicles Across Driving Scenarios

    Sep 11, 2026Peiyi Fang, Xiangyu Li, Yonglin Weng +1Vehicle Dynamics

  20. Toward Reliable Railway-Bogie Response Prediction Using Multifidelity TDNN and Physics-Informed Residual Learning

    Sep 10, 2026Gyeolhee Lee, Moosun Kim, Taewook Kwon +3Surrogate ModelingResidual Learning

  21. IMU-Centric Moving Horizon Estimation for Lateral Dynamics Estimation Across Vehicles and Grip Conditions

    Sep 9, 2026Seuffo Akouan ha Ngoune, Alessandro Toschi, Paolo Burgio +1Autonomous DrivingVehicle Dynamics

  22. Prediction of Nonlinear Oscillations in a Jumping Quarter-Car Model Using Reservoir Computing

    Sep 1, 2026Masahisa Watanabe, Shiva Dixit, Nirmal Punetha +2Chaotic Time-Series PredictionVehicle Dynamics

  23. Optimized Modular Design and Development of a Tilt-Rotor Bicopter Drone

    Aug 31, 2026Saideep Verma, Nimisha Tatapudi, Akshay Arjun +3Aerial RoboticsVehicle Dynamics

  24. Vehicle Drift Emergence: Continuous Evolution from Grip Driving to the Handling Limit via Boundary Exploration Learning Model Predictive Control

    Aug 28, 2026Sheng Zhao, Binh-Minh Nguyen, Hangyu Lu +1Vehicle DynamicsModel Predictive Control

  25. DART-S: Reachability-Audited Active-Suspension Preconditioning for Off-Road Vehicle Jumps

    Aug 20, 2026Yu Hu, Fangzhou Zhao, Liang Chen +7Vehicle DynamicsFeedback Control

  26. Stability Control for Real World Testing in Autonomous Racing

    Aug 18, 2026Phillip Pitschi, Simon Sagmeister, Frederik Werner +2Vehicle DynamicsAutonomous Racing

  27. A Neural Network Based Teleoperation for Remote Controlled Vehicles

    Aug 11, 2026Ning Ding, Azim EskandarianRobot TeleoperationRobust Control

  28. Predictive safety filter enhanced curriculum learning control for efficient vehicle dynamics controller

    Aug 10, 2026Baocong Zhang, Siliang Lu, Chenyang LiSafety-Critical ControlVehicle Dynamics