Robotic Systems Lab - Legged Robotics at ETH Zürich
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38
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Robotic Systems Lab - Legged Robotics at ETH Zürich
icp_localization
236
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46
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This package provides localization in a pre-built map using ICP and odometry (or the IMU measurements).
elevation_mapping
29
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3
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Robot-centric elevation mapping for rough terrain navigation
graph_msf
244
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36
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A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
hardware_time_sync
46
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4
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Guidelines on how to hardware synchronize the time of multiple sensors, e.g., IMU, cameras, etc.
L3E
88
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4
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Learning-based localizability estimation for robust LiDAR localization.
learning_quadrupedal_locomotion_over_challenging_terrain_supplementary
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Supplementary materials for "Learning Locomotion over Challenging Terrain"