Robotics

Dataset of rosbags collected during autonomous drone flight inside a warehouse of stockpiles. PCD files created using reconstruction method proposed by article.

Data still being move to IEEE. Until then, may be found on https://www.kaggle.com/reygago/aerial-lidar-dataset-of-an-stockpile-warehouse

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  • Computer Vision
  • Last Updated On: 
    Sat, 03/28/2020 - 12:57

    Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosthesis to the human command, such as residual limb movement in motion-based interfaces. Previous studies demonstrated that developing human-prosthetic synergies in joint-space must consider individual motor behaviour and the intended task to be performed, requiring personalisation and task calibration.

    44 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 02/27/2020 - 10:17

    We introduce a new robotic RGBD dataset with difficult luminosity conditions: ONERA.ROOM. It comprises RGB-D data (as pairs of images) and corresponding annotations in PASCAL VOC format (xml files)

    It aims at People detection, in (mostly) indoor and outdoor environments. People in the field of view can be standing, but also lying on the ground as after a fall.

    72 views
  • Computer Vision
  • Last Updated On: 
    Thu, 10/24/2019 - 08:32

    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.

    395 views
  • Sensors
  • Last Updated On: 
    Mon, 12/16/2019 - 07:44

    In recent years, researchers have explored human body posture and motion to control robots in more natural ways. These interfaces require the ability to track the body movements of the user in three dimensions. Deploying motion capture systems for tracking tends to be costly and intrusive and requires a clear line of sight, making them ill adapted for applications that need fast deployment. In this article, we use consumer-grade armbands, capturing orientation information and muscle activity, to interact with a robotic system through a state machine controlled by a body motion classifier.

    83 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 03/24/2020 - 18:27

    The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create.

    1085 views
  • Sensors
  • Last Updated On: 
    Fri, 10/05/2018 - 12:00