Overview

Robot state estimation combines sensor readings and models to infer quantities such as position, orientation, velocity, contact, and robot shape, which are needed for navigation and control. Common approaches include Kalman and invariant filters, particle filters, factor graphs and smoothing, and continuous-time methods that fuse asynchronous measurements from IMUs, cameras, LiDAR, radar, GNSS, encoders, and contact sensors. Learning-based methods increasingly complement these estimators by predicting motion, sensor reliability, or contact confidence, especially for legged robots and in degraded sensing conditions. A central challenge is maintaining accurate, consistent uncertainty estimates when contacts slip, sensors fail or arrive late, and the environment provides weak geometric information, without exceeding real-time computational limits.

Latest papers

CardsList

200 papers26 papers in the last four weeks, down 4% on the four weeks before. 0.2% of all new papers.

  1. Natural Gradient Gaussian Approximation Filter on Lie Groups for Robot State Estimation

    Apr 11, 2026Tianyi Zhang, Wenhan Cao, Chang Liu +2Robot State EstimationBayesian Filtering

  2. State and Trajectory Estimation of Tensegrity Robots via Factor Graphs and Chebyshev Polynomials

    Apr 9, 2026Edgar Granados, Patrick Meng, Charles Tang +4Tensegrity RoboticsRobot State Estimation

  3. Complementary Filtering on SO(3) for Attitude Estimation with Scalar Measurements

    Apr 9, 2026Alessandro Melis, Soulaimane Berkane, Robert Mahony +1Robot State Estimation

  4. An Asynchronous Two-Speed Kalman Filter for Real-Time UUV Cooperative Navigation Under Acoustic Delays

    Apr 3, 2026Shuyue Li, Miguel López-Benítez, Eng Gee Lim +5Kalman FilteringGNSS-Denied Localization

  5. Geometrically-Constrained Radar-Inertial Odometry via Continuous Point-Pose Uncertainty Modeling

    Apr 3, 2026Wooseong Yang, Dongjae Lee, Minwoo Jung +1Simultaneous Localization and MappingInertial Odometry

  6. Adaptive Learned State Estimation based on KalmanNet

    Apr 2, 2026Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag +2Robot State EstimationKalman Filtering

  7. Communication Outage-Resistant UUV State Estimation: A Variational History Distillation Approach

    Mar 31, 2026Shuyue Li, Miguel López-Benítez, Eng Gee Lim +5Robot State EstimationRobust Estimation

  8. Interacting Multiple Model Proprioceptive Odometry for Legged Robots

    Mar 31, 2026Wanlei Li, Zichang Chen, Shilei Li +2Robot State EstimationLegged Robotics

  9. Predictive Modeling in AUV Navigation: A Perspective from Kalman Filtering

    Mar 28, 2026Zizhan Tang, Yao Liu, Jessica LiuAutonomous Underwater NavigationRobot State Estimation

  10. Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation

    Mar 23, 2026Kejia Liu, Haoyang Zhou, Ruoyu Xu +3UAV NavigationCross-View Geo-Localization

  11. Radar-Inertial Odometry with Online Spatio-Temporal Calibration via Continuous-Time IMU Modeling

    Mar 20, 2026Vlaho-Josip Štironja, Luka Petrović, Juraj Peršić +2Radar-Inertial OdometryRobot State Estimation

  12. Proprioceptive-only State Estimation for Legged Robots with Set-Coverage Measurements of Learned Dynamics

    Mar 18, 2026Abhijeet M. Kulkarni, Ioannis Poulakakis, Guoquan HuangRobot State EstimationLegged Robotics

  13. SE(3)-LIO: Smooth IMU Propagation With Jointly Distributed Poses on SE(3) Manifold for Accurate and Robust LiDAR-Inertial Odometry

    Mar 17, 2026Gunhee Shin, Seungjae Lee, Jei Kong +2LiDAR OdometryRobot State Estimation

  14. LoCal-RIO: Radar-Inertial Odometry with Loop-Closure IMU Bias Calibration

    Mar 14, 2026Ali Alridha Abdulkarim, Mikhail Litvinov, Zein Alabdeen Abdulkarim +1Simultaneous Localization and MappingFactor Graph Optimization

  15. Consistent and Efficient MSCKF-based LiDAR-Inertial Odometry with Inferred Cluster-to-Plane Constraints for UAVs

    Mar 13, 2026Jinwen Zhu, Xudong Zhao, Fangcheng Zhu +4LiDAR OdometryRobot State Estimation

  16. NanoBench: A Multi-Task Benchmark Dataset for Nano-Quadrotor System Identification, Control, and State Estimation

    Mar 10, 2026Syed Izzat Ullah, Jose BacaBenchmark DesignNonlinear System Identification

  17. Towards Terrain-Aware Safe Locomotion for Quadrupedal Robots Using Proprioceptive Sensing

    Mar 10, 2026Peiyu Yang, Jiatao Ding, Wei Pan +2Terrain-Aware Robot LocomotionQuadruped Locomotion

  18. Uncertainty-Aware Adaptive Dynamics For Underwater Vehicle-Manipulator Robots

    Mar 6, 2026Edward Morgan, Nenyi K Dadson, Corina BarbalataRobot Dynamics IdentificationUnderwater Robotics

  19. Observer Design for Augmented Reality-based Teleoperation of Soft Robots

    Mar 5, 2026Jorge Francisco García-Samartín, Iago López Pérez, Emirhan Yolcu +2Robot TeleoperationSoft Robotics

  20. Integrated cooperative localization of heterogeneous measurement swarm: A unified data-driven method

    Mar 5, 2026Kunrui Ze, Wei Wang, Guibin Sun +3Cooperative LocalizationRobot Localization

  21. Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning

    Mar 4, 2026Yoonwoo Kim, Raghav Arora, Roberto Martín-Martín +3Motion PlanningRobot State Estimation

  22. Real-time tightly coupled GNSS and IMU integration via Factor Graph Optimization

    Mar 3, 2026Radu-Andrei Cioaca, Paul Irofti, Cristian Rusu +3Factor Graph OptimizationRobot State Estimation

  23. Tensegrity Robot Endcap-Ground Contact Estimation with Symmetry-aware Heterogeneous Graph Neural Network

    Mar 3, 2026Wenzhe Tong, Yicheng Jiang, Chi Zhang +2Tensegrity RoboticsRobotics

  24. Scalar-Measurement Attitude Estimation on SO(3)\mathbf{SO}(3) with Bias Compensation

    Mar 3, 2026Alessandro Melis, Tarek Bouazza, Hassan Alnahhal +3Robot State EstimationInertial Navigation

  25. D-GVIO: A Buffer-Driven and Efficient Decentralized GNSS-Visual-Inertial State Estimator for Multi-Agent Systems

    Mar 2, 2026Yarong Luo, Wentao Lu, Chi Guo +1Robot State EstimationCooperative Localization

  26. Path Integral Particle Filtering for Hybrid Systems via Saltation Matrices

    Mar 1, 2026Karthik Shaji, Sreeranj Jayadevan, Bo Yuan +2Particle FilteringRobot State Estimation

  27. Evaluating Accuracy of Vine Robot Shape Sensing with Distributed Inertial Measurement Units

    Feb 27, 2026Alexis E. Laudenslager, Antonio Alvarez Valdivia, Nathaniel Hanson +1Continuum Robot Shape EstimationRobot State Estimation