AIMAPP unifies online topological mapping, localisation, and planning under a single active-inference generative model for self-supervised robot navigation.
FAST- LIO2: fast direct lidar-inertial odometry
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G-EDF-Loc models the Euclidean distance field as a block-sparse Gaussian mixture to enable real-time, gradient-based 6DoF localization that remains robust under severe odometry degradation or without IMU priors.
An active-inference agent builds real-time topological maps and plans adaptive trajectories for exploration and goal-reaching in robotics without pre-training.
citing papers explorer
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Online Structure Learning and Planning for Autonomous Robot Navigation using Active Inference
AIMAPP unifies online topological mapping, localisation, and planning under a single active-inference generative model for self-supervised robot navigation.
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G-EDF-Loc: 3D Continuous Gaussian Distance Field for Robust Gradient-Based 6DoF Localization
G-EDF-Loc models the Euclidean distance field as a block-sparse Gaussian mixture to enable real-time, gradient-based 6DoF localization that remains robust under severe odometry degradation or without IMU priors.
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Bio-Inspired Topological Autonomous Navigation with Active Inference in Robotics
An active-inference agent builds real-time topological maps and plans adaptive trajectories for exploration and goal-reaching in robotics without pre-training.