robotics

Dataset containing the demonstration data collected with a teleoperation system. The CRISP teleoperated fruit picking dataset contains real-world teleoperated demonstration recordings of teleoperated grasping and manipulation sequences. The dataset offers recordings of RGB-D, Tactile and kinematic data collected during fruit pick-and-place tasks. Our items are placed in the workspace as single or as a clutter to simulate real-world food manufacturing scenarios.

Teleoperation system for arm-hand dexterous manipulator

We investigate how incremental learning of long-term human activity patterns improves the accuracy of activity classification over …

The paper presents a probabilistic approach using spatio-temporal and social features to recognize human-human interaction activities, learns priors based on proxemics theory to improve classification, and provides a new public RGB-D dataset of social activities including risk situations, with results showing the proposed method merging different features and proximity priors improves precision, recall and accuracy over alternative approaches