Edinburgh Research Explorer

TrimBot2020 Dataset for Garden Navigation and Bush Trimming

Dataset

Related Edinburgh Organisations

PublisherEdinburgh DataVault
Date of data production1 Jan 2016 - 31 Dec 2019
Date made available1 Jan 2020
Geographical coverageEurope

Description

Sensor data recorded from cameras and other sensors mounted on a robotic platform as well as additional external sensors capturing the robot in the garden.

Abstract

The TrimBot2020 project researched the underlying robotics and vision technologies and prototypes the next generation of intelligent gardening consumer robots. The project focused on the development of intelligent outdoor hedge, rose and bush trimming capabilities, allowing the robot to navigate over varying garden terrain, approaching hedges to restore them to their ideal tidy state, and approaching topiary-styled bushes to restore them to their ideal shape.
This dataset contains an extensive recording of sensor data recorded from cameras and other sensors mounted on the robot as well as additional external sensors capturing the robot in an experimental outdoor garden.
Primary data are image streams from multi-camera rigs, additional data include inertial or 3D measurements and scene semantics. Results from methods developed in the project are also included.

Data Citation

Tylecek, R.; FIsher, R.B. "TrimBot2020 Dataset for Garden Navigation and Bush Trimming"

Reason for data restriction and conditions for release

Intellectual property rights

Physical data

  • TrimBot2020 Dataset

    Storage locationEdinburgh DataVault
    Access descriptionThis dataset is held in the DataVault, directly accessible only to authorised University of Edinburgh staff. To request a copy, contact the Depositor, or the Contact Person or Data Manager. Further info: http://www.ed.ac.uk/is/research-support/datavault
    Media"https://www.ed.ac.uk/is/research-support/datavault
    TypeDataset

ID: 134713250