Proprioceptive Sensor Dataset for Quadruped Robots

Citation Author(s):
Geoff
Fink
Istituto Italiano di Tecnologia (IIT)
Submitted by:
Geoff Fink
Last updated:
Tue, 05/12/2020 - 15:26
DOI:
10.21227/4vxz-xw05
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License:
Creative Commons Attribution
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Abstract 

These datasets are of the hydraulically actuated robot HyQ’s proprioceptive sensors. They include absolute and relative encoders, force and torque sensors, and MEMS-based and fibre optic-based inertial measurement units (IMUs). Additionally, a motion capture system recorded the ground truth data with millimetre accuracy. In the datasets HyQ was manually controlled to trot in place or move around the laboratory. The sequence includes: forward and backwards motion, side-to-side motion, zig-zags, yaw motion, and a mix of linear and yaw motion. All of the datasets are at least five minutes long. The aim of these datasets is to test state estimation using only proprioceptive sensors.

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