Ra-L/Iros 2019 - Robust Legged Robot State Estimation Using Factor Graph Optimization

RA-L/IROS 2019 - Robust Legged Robot State Estimation Using Factor Graph Optimization

Oxford Dynamic Robot Systems Group

[IEEE RA-L with IROS 2021] Legged Robot State Estimation with Dynamic Contact Event Information

Legged Robot State Estimation With Dynamic Contact Event Information(2021 IROS)

Legged Robot Neck Design for Robust Visual Inertial State Estimation (RA-L 2023)

Legged Robot Neck Design for Robust Visual Inertial State Estimation: Outdoor Experiment (RA-L 2023)

Learning Inertial Odometry for Dynamic Legged Robot State Estimation

Oxford Dynamic Robot Systems Group

Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter

Institute of Navigation

Graph-based Multi-sensor Fusion for Consistent Localization of Autonomous Construction Robots (Talk)

Robotic Systems Lab: Legged Robotics at ETH Zürich

[RA-L/ IROS 2021] MS-UDA (presentation video)

STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor

KAIST Urban Robotics Lab

Optimization-based Legged Odometry and Sensor Fusion for Legged Robot Continuous Localization

PUT Mobile Robots Laboratory

IROS19 - Multi-controller multi-objective locomotion planning for legged robots

Oxford Dynamic Robot Systems Group

RA-L & ICRA2024: Enhancing Generalizable 6D Pose Tracking of an In-Hand Object With Tactile Sensing

State Estimation using Forward Kinematic and Contact Factors

Michigan Robotics: Dynamic Legged Locomotion Lab

Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events

Optimization-based Legged Odometry and Sensor Fusion for Legged Robot Continuous Localization exp. 2

ICRA 2020 - Preintegrated Velocity Bias Estimation to Overcome Nonlinearities in Legged Odometry

Oxford Dynamic Robot Systems Group