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Deliverable 1.5: Second Round Test Evaluation Report

In this final deliverable of WP1, we discuss the second series of evaluations performed with each of our integrated Crowdbots: the smart wheelchair, Qolo, Pepper and cuyBot. The evaluations are both quantitative and qualitative and range from testing the efficacy of core components that are developed within the project and underpin the Crowdbots — namely:

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New dataset: 3D point cloud and RGBD of pedestrians in robot crowd navigation: detection and tracking

This dataset contains over 250k frames of robot navigation in raw crowds in the city of Lausanne, Switzerland with the personal mobility robot Qolo in semi-autonomous navigation.

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New dataset: Mobile robots crash testing with pedestrians (child and adult)

This dataset contains injury measures during collisions between a mobile service robot – Qolo – and pedestrian dummies: male adult Hybrid-III (H3) and child model 3-years-old (Q3).