MPPI Control

MPPI: Model Predictive Path Integral

Overview

MPPI control repeatedly simulates candidate action sequences, weights them by their predicted costs, and applies the best-informed action before replanning from the latest state. It is useful for nonlinear, contact-rich, or otherwise difficult-to-optimize systems, including robots, drones, and vehicles. Common approaches improve sampling with feedback policies, motion primitives, or learned priors; accelerate rollouts with GPU simulation or learned dynamics; and incorporate safety through constraints, barrier functions, or uncertainty-aware costs. A central challenge is balancing computation and model accuracy with reliable safety: sparse samples and model mismatch can misrank trajectories, while averaging distinct good behaviors can produce a poor action.

Latest papers

CardsList

40 papers4 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

  1. CLIS-MPPI: Closed-Loop Model Predictive Path Integral Control With Initial-State Sampling Under Execution Delay

    Oct 15, 2026Zidong Liu, Xu ChenMPPI ControlRobot Motion Planning

  2. LLA-MPPI: Rapidly Adaptive Whole-body Control of Legged Robots with GPU-Accelerated Parallel Simulations

    Oct 7, 2026Sebin Jung, Maitham F. AL-Sunni, Juan Alvarez-Padilla +3Legged RoboticsRobot Locomotion

  3. Reachability-Guided Sequential Quadratic Programming-Guarded Model Predictive Path Integral for Safe Nonlinear Predictive Control

    Oct 3, 2026Alexandre Didier, Jason J. Choi, Namhoon Cho +2Model Predictive ControlNonlinear MPC

  4. L1-MPPI: L1 Adaptive Model Predictive Path Integral for Agile UAV Control

    Sep 29, 2026Lukáš Kotek, Ondřej Procházka, Vojtěch Vonásek +2Robot Trajectory TrackingQuadrotor Control

  5. OA-MPPI: Occlusion-Aware Model Predictive Path Integral Control for UAV Flight

    Sep 23, 2026Vittorio Palladino, Teaya Yang, Ruiqi Zhang +1UAV NavigationQuadrotor Control

  6. GEM-MPC: Balancing Exploration and Exploitation through Expert-Guided Planning

    Sep 18, 2026Alvaro Serra-Gomez, Thomas MoerlandRL ExplorationModel-Based Planning

  7. Task-Oriented Active Learning of Residual Dynamics for Model Predictive Path Integral Control

    Sep 16, 2026Nobuaki Aoki, Hojin Lee, Stefan Sosnowski +1Residual LearningResidual Dynamics Learning

  8. VLM-MPPI: Grounding Natural Language in Behaviorally Diverse Trajectories for Aerial Navigation

    Sep 16, 2026Hanbing Zhang, Fangguo Zhao, Zerui Li +3UAV NavigationVision-Language Navigation

  9. Model Predictive Control of Tensegrity Robots via Contact-Aware Graph Neural Dynamics Model

    Sep 8, 2026Nelson Chen, Patrick Meng, Charles Tang +5Robotic ControlRobot Dynamics Identification

  10. Real-Time Dynamics-Based Torque-Sampling MPPI for Compliant and Force Aware Manipulation

    Sep 2, 2026Euncheol Im, Taehyun Kim, Yonghwan Oh +2Robotic ControlModel Predictive Control

  11. ProxPI: Proximal Prior Injection for Sampling-Based MPC under Learned-Prior Mismatch

    Sep 1, 2026Euncheol Im, Myotaeg Lim, Yisoo LeeDistribution ShiftModel Predictive Control

  12. Safety-aware Model Predictive Path Integral Control with Signal Temporal Logic

    Aug 25, 2026Yiqi Zhao, Taekyung Kim, Hideki Okamoto +4STL Motion PlanningSafe Motion Planning

  13. Hybrid Feedback Sampling for Sample-Efficient Model Predictive Control

    Aug 19, 2026Chaoyi Pan, Zeji Yi, John Zhang +3Model Predictive ControlRobotic Control

  14. Progressive Experience Fusion for Multi-Task World Model Control in Endovascular Navigation

    Aug 19, 2026Harry Robertshaw, Maxence Boels, Nikola Fischer +4Robotic Endovascular InterventionRobot Policy Adaptation

  15. Projection-Retraction MPPI: Exact Constraint-Manifold Control for Manipulators

    Aug 4, 2026Seulchan Lee, Leesai Park, Minhyeong Kang +1Robotic ControlConstrained Motion Planning

  16. Information-Theoretic Adaptive Cooling for Deterministic MPPI via Entropy Feedback

    Jul 15, 2026Shuqi Wang, Wenrong Sun, Tao Han +2Stochastic Optimization ConvergenceMPPI Control

  17. Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing

    Jul 9, 2026Hyung-Jin Yoon, Hunmin KimLyapunov StabilityStochastic Approximation

  18. Residual-Conservative Model Predictive Path Integral Control

    Jul 8, 2026Hyung-Jin Yoon, Hunmin KimModel Predictive ControlConstrained Optimization

  19. MP-MPPI: A Motion Primitive Guided Sampling-Based Optimizer for Model Predictive Control

    Jul 7, 2026Marlon Mathisen, Aksel Vaaler, Olav Egeland +1Model Predictive ControlMotion Planning

  20. Finite-Sample Closed-Loop Stability of Model Predictive Path Integral Control for Linear Time-Invariant Systems

    Jul 4, 2026Hyung-Jin Yoon, Hunmin KimDynamical SystemsStochastic Linear Dynamical Systems

  21. RGB: RL Guided Whole-Body MPPI for Humanoid Control

    Jun 23, 2026Yunsoo Seo, Sol Choi, Euncheol Im +2Robot Trajectory TrackingHumanoid Robot Control

  22. HOLO-MPPI: Multi-Scenario Motion Planning via Hierarchical Policy Optimization

    Jun 15, 2026Youngjae Min, Jovin D'sa, Faizan M. Tariq +3Hierarchical RLMotion Planning

  23. Chance-Constrained MPPI under State and Dynamic Object Prediction Uncertainty and the Evaluation of Collision Risk Calibration

    May 27, 2026Benjamin Serfling, Konrad Doll, Kati Radkhah-LensChance-Constrained Motion PlanningSafe Motion Planning

  24. Manifold-Constrained MPPI: Real-Time Sampling-Based Control for Nonlinear Equality-Constrained Robotic Systems

    May 24, 2026Seulchan Lee, Sanghyun KimRobotic ControlConstrained Motion Planning

  25. Neural Distance-Guided Path Integral Control for Tractor-Trailer Navigation

    May 11, 2026Peng Wei, Chen Peng, Stavros VougioukasRobot NavigationMPPI Control

  26. ELVIS: Ensemble-Calibrated Latent Imagination for Long-Horizon Visual MPC

    May 6, 2026Yurui Du, Pinhao Song, Yutong Hu +1Visual SSMsModel Predictive Control

  27. Robust Path Tracking for Vehicles via Continuous-Time Residual Learning: An ICODE-MPPI Approach

    May 5, 2026Shugen Song, Wenjie Mei, Chengyan ZhaoNonlinear MPCResidual Learning