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Only released in EOL distros:  

iri_navigation: iri_ackermann_local_planner | iri_bspline_navfn | iri_checkpoint_nav | iri_diff_local_planner | iri_dynamics_objects_localization | iri_force_navigation | iri_force_navigation_learning | iri_force_robot_companion | iri_force_robot_companion_learning | iri_laser_localisation | iri_laser_navigation | iri_leuze_speed_limit | iri_localization3d | iri_nav_msgs | iri_no_collision | iri_oa_client | iri_obstacle_detection | iri_people_follower | iri_people_follower_client | iri_people_simulation | iri_platform_teleop | iri_poseslam | iri_ry_oa_bridge | iri_safe_cmd | my_map_checker

Package Summary

This is the software associated with the following papers:

V. Ila, J.M. Porta and J. Andrade-Cetto.
Information-based compact Pose SLAM.
IEEE Transactions on Robotics, 26(1): 78-93, 2010.

V. Ila, J.M. Porta and J. Andrade-Cetto.
Amortized constant time state estimation in Pose SLAM and hierarchical SLAM using a mixed Kalman-information filter.
Robotics and Autonomous Systems, 59(5): 310-318, 2011.

R. Valencia, M. Morta, J. Andrade-Cetto and J.M. Porta.
Planning reliable paths with Pose SLAM.
IEEE Transactions on Robotics, 29(4): 1050-1059, 2013.

The Matlab code related to this package is in:
Matlab toolbox for PoseSLAM or straight code.tar.gz

These are the Spanish national projects that have made possible this software:
PAU: Percepción y acción ante incertidum/bre
PAU+: Perception and Action in Robotics Problems with Large State Spaces


2024-04-13 12:41