Copertina

Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Guo, Zi Cong, Forbes, James R., Barfoot, Timothy D.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Data-Driven Batch Localization and SLAM Using Koopman Linearization
di: Guo, Zi Cong, et al.
Pubblicazione: (2023)

KILO-EKF: Koopman-Inspired Learned Observations Extended Kalman Filter
di: Guo, Zi Cong, et al.
Pubblicazione: (2026)

Smoothing Out the Edges: Continuous-Time Estimation with Gaussian Process Motion Priors on Factor Graphs
di: Holmes, Connor, et al.
Pubblicazione: (2026)

Incorporating Control Inputs in Continuous-Time Gaussian Process State Estimation for Robotics
di: Lilge, Sven, et al.
Pubblicazione: (2024)

Continuum Robot State Estimation Using Gaussian Process Regression on $SE(3)$
di: Lilge, Sven, et al.
Pubblicazione: (2022)

Safe and Smooth: Certified Continuous-Time Range-Only Localization
di: Dümbgen, Frederike, et al.
Pubblicazione: (2022)

Integral Forms in Matrix Lie Groups
di: Barfoot, Timothy D
Pubblicazione: (2025)

SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics
di: Holmes, Connor, et al.
Pubblicazione: (2024)

Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions
di: Laconte, Johann, et al.
Pubblicazione: (2023)

Distributional Stability of Tangent-Linearized Gaussian Inference on Smooth Manifolds
di: Seo, Junghoon, et al.
Pubblicazione: (2026)

Change of Scenery: Unsupervised LiDAR Change Detection for Mobile Robots
di: Krawciw, Alexander, et al.
Pubblicazione: (2023)

Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization
di: Dümbgen, Frederike, et al.
Pubblicazione: (2024)

Towards Efficient Occupancy Mapping via Gaussian Process Latent Field Shaping
di: Gentil, Cedric Le, et al.
Pubblicazione: (2025)

Ratatouille: Imitation Learning Ingredients for Real-world Social Robot Navigation
di: Han, James R., et al.
Pubblicazione: (2025)

State Estimation for Continuum Multi-Robot Systems on SE(3)
di: Lilge, Sven, et al.
Pubblicazione: (2024)

A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics
di: Harlow, Kyle, et al.
Pubblicazione: (2023)

On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics
di: Holmes, Connor, et al.
Pubblicazione: (2023)

Continuous-Time Radar-Inertial and Lidar-Inertial Odometry using a Gaussian Process Motion Prior
di: Burnett, Keenan, et al.
Pubblicazione: (2024)

A Stochastic Framework for Continuous-Time State Estimation of Continuum Robots
di: Teetaert, Spencer, et al.
Pubblicazione: (2025)

Revisiting Continuous-Time Trajectory Estimation via Gaussian Processes and the Magnus Expansion
di: Barfoot, Timothy, et al.
Pubblicazione: (2026)

Continuous-time Trajectory Estimation: A Comparative Study Between Gaussian Process and Spline-based Approaches
di: Johnson, Jacob, et al.
Pubblicazione: (2024)

Space-Time Continuum: Continuous Shape and Time State Estimation for Flexible Robots
di: Teetaert, Spencer, et al.
Pubblicazione: (2024)

A Sliding-Window Filter for Online Continuous-Time Continuum Robot State Estimation
di: Teetaert, Spencer, et al.
Pubblicazione: (2025)

LaserSAM: Zero-Shot Change Detection Using Visual Segmentation of Spinning LiDAR
di: Krawciw, Alexander, et al.
Pubblicazione: (2024)

Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map
di: Barfoot, Timothy D, et al.
Pubblicazione: (2023)

Off the Beaten Track: Laterally Weighted Motion Planning for Local Obstacle Avoidance
di: Sehn, Jordy, et al.
Pubblicazione: (2023)

IMU as an Input vs. a Measurement of the State in Inertial-Aided State Estimation
di: Burnett, Keenan, et al.
Pubblicazione: (2024)

The Finer Points: A Systematic Comparison of Point-Cloud Extractors for Radar Odometry
di: Preston-Krebs, Elliot, et al.
Pubblicazione: (2024)

3DRO: Lidar-level SE(3) Direct Radar Odometry Using a 2D Imaging Radar and a Gyroscope
di: Gentil, Cedric Le, et al.
Pubblicazione: (2026)

Do We Still Need to Work on Odometry for Autonomous Driving?
di: Gentil, Cedric Le, et al.
Pubblicazione: (2025)

Degeneracy-Resilient Teach and Repeat for Geometrically Challenging Environments Using FMCW Lidar
di: Papais, Katya M., et al.
Pubblicazione: (2026)

Discretization of Linear Systems using the Matrix Exponential
di: Dahdah, Steven, et al.
Pubblicazione: (2025)

Continuum Robot Localization using Distributed Time-of-Flight Sensors
di: Teetaert, Spencer, et al.
Pubblicazione: (2026)

Radar Teach and Repeat: Architecture and Initial Field Testing
di: Qiao, Xinyuan, et al.
Pubblicazione: (2024)

Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
di: Boxan, Matěj, et al.
Pubblicazione: (2025)

Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations
di: Dümbgen, Frederike, et al.
Pubblicazione: (2023)

Field Testing of a Stochastic Planner for ASV Navigation Using Satellite Images
di: Huang, Philip, et al.
Pubblicazione: (2023)

FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency
di: Boxan, Matěj, et al.
Pubblicazione: (2024)

OSCAR: Obstacle Survival Curves for Adaptive Robot Navigation
di: Sahak, Hshmat, et al.
Pubblicazione: (2026)

Continuous-Time State Estimation Methods in Robotics: A Survey
di: Talbot, William, et al.
Pubblicazione: (2024)