https://github.com/introlab/t-top

T-Top is a tabletop robot designed with advanced audio and vision sensors, deep learning perceptual processing and telecommunication capabilities to provide richer interaction modalities and develop higher cognitive abilities from interacting with people.

https://github.com/introlab/t-top

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
    Links to: springer.com, ieee.org, acm.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.7%) to scientific vocabulary

Keywords

3d-print companion deep-learning open-source-hri-platform robot robotics ros socially-assistive-robot table-top-robot
Last synced: 4 months ago · JSON representation

Repository

T-Top is a tabletop robot designed with advanced audio and vision sensors, deep learning perceptual processing and telecommunication capabilities to provide richer interaction modalities and develop higher cognitive abilities from interacting with people.

Basic Info
  • Host: GitHub
  • Owner: introlab
  • License: other
  • Language: Python
  • Default Branch: ros2
  • Homepage:
  • Size: 897 MB
Statistics
  • Stars: 12
  • Watchers: 4
  • Forks: 6
  • Open Issues: 8
  • Releases: 2
Topics
3d-print companion deep-learning open-source-hri-platform robot robotics ros socially-assistive-robot table-top-robot
Created over 4 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

T-Top

T-Top is a tabletop robot designed with advanced audio and vision sensors, deep learning perceptual processing and telecommunication capabilities to provide richer interaction modalities and develop higher cognitive abilities from interacting with people.

T-Top

T-Top

Authors

  • Marc-Antoine Maheux (@mamaheux)
  • Dominic Ltourneau (@doumdi)
  • Philippe Warren (@philippewarren)
  • Mariam Fdil (@MariamFdil)
  • Franois Michaud, ing., Ph.D.

Contributors

  • Ian-Mathieu Joly (@joli-1801)
  • Charles Caya (@chcaya)
  • Alexandre Filion (@alexfilion)

Licensing

Features

| Category | Type | Description | | ---------------- | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Power | Power Adapter | 19 V | | | Battery | 1x RRC2054-2 | | | Battery Charger | 1x RRC-PMM240 | | Sensors | Microphone Array | 16x xSoundsMicrophones, 1x 16SoundsUSB | | | RGB-D Camera | 1x Intel RealSense D435i | | | Wide Angle Camera | 1x Arducam AR0230 | | | Touchscreen | 1x 7 inch 1024x600 capacitive touchscreen | | | Current/Voltage | INA220 | | | Light Sensors | 4x Adafruit ALS-PT19 | | | Buttons | 4x buttons | | Actuators | Stewart Platform | Displacement range: 3 cm (x, y and z), 20 (x and y), 30 (z). Motor: Dynamixel XL430-W250 | | | | Rotating Base | Displacement range: illimited. Motor: Dynamixel XL430-W250 | | | Speakers | 4x Dayton Audio DMA45-8, 2x MAX9744 | | | Cooling | 2x Noctua NF-A4x20 5V | | | Touchscreen | 1x 7 inch 1024x600 capacitive touchscreen | | | LED | Battery status, volume level, led strip | | Network | WiFi | Intel Dual Band Wireless-AC 8265 NGW | | | Ethernet | 100 Mbps | | Processing | Computer | NVIDIA Jetson AGX Xavier Developer Kit or NVIDIA Jetson AGX Xavier Orin Developer Kit | | | Motor MCU | Teensy 4.0 | | | Battery MCU | Teensy LC | | Perceptions | | SLAM, object detection, person pose estimation, face recognition, sound classification, speaker identification, robot name detection, speech to text, person identification, music beat detection, source source localization, ego noise reduction, vad | | Behaviors | | Telepresence, emotions, talking, greeting, face following, dancing, exploring, sound following |

Repository Structure

  • The documentation folder contains the documentation to build and configure T-Top.
  • The CAD folder contains the SolidWorks files of the robot. Il also contains the DXF and STL files to cut and print custom parts.
  • The firmwares folder contains the firmware for the MCUs.
  • The PCB folder contains the KiCad files of the custom PCBs. Il also contains the Gerber files to manufacture the PCBs.
  • The ros folder contains the ROS packages to use the robot.
  • The tools folder contains the tools to develop and use the robot.

Development Computer Setup

See 01COMPUTERCONFIGURATION.md

Papers

Sponsor

IntRoLab

IntRoLab - Intelligent / Interactive / Integrated / Interdisciplinary Robot Lab

Owner

  • Name: IntRoLab
  • Login: introlab
  • Kind: organization
  • Location: Sherbrooke, Québec, Canada

IntRoLab - Intelligent / Interactive / Integrated / Interdisciplinary Robot Lab @ Université de Sherbrooke

GitHub Events

Total
  • Issues event: 5
  • Watch event: 4
  • Delete event: 13
  • Issue comment event: 5
  • Push event: 89
  • Pull request review comment event: 112
  • Pull request review event: 80
  • Pull request event: 14
  • Create event: 13
Last Year
  • Issues event: 5
  • Watch event: 4
  • Delete event: 13
  • Issue comment event: 5
  • Push event: 89
  • Pull request review comment event: 112
  • Pull request review event: 80
  • Pull request event: 14
  • Create event: 13

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 21
  • Total pull requests: 110
  • Average time to close issues: 6 months
  • Average time to close pull requests: 6 days
  • Total issue authors: 5
  • Total pull request authors: 5
  • Average comments per issue: 0.05
  • Average comments per pull request: 0.08
  • Merged pull requests: 102
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 14
  • Average time to close issues: 3 months
  • Average time to close pull requests: 14 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.5
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • mamaheux (15)
  • ECP68 (2)
  • philippewarren (2)
  • wetoo-cando (1)
  • doumdi (1)
Pull Request Authors
  • mamaheux (61)
  • doumdi (31)
  • philippewarren (16)
  • joli-1801 (1)
  • ECP68 (1)
Top Labels
Issue Labels
wontfix (1)
Pull Request Labels
bug (2)

Dependencies

.github/workflows/scheduled-stats.yml actions
  • introlab/github-stats-action v1 composite
ros/user_interface/package-lock.json npm
  • 1349 dependencies
ros/user_interface/package.json npm
  • @vue/cli-plugin-babel ^3.9.0 development
  • @vue/cli-plugin-eslint ^3.9.0 development
  • @vue/cli-service ^3.9.0 development
  • babel-eslint ^10.0.1 development
  • electron ^5.0.0 development
  • eslint ^5.16.0 development
  • eslint-plugin-vue ^5.0.0 development
  • serve ^14.2.3 development
  • vue-cli-plugin-electron-builder ^1.3.6 development
  • vue-template-compiler ^2.6.10 development
  • core-js ^2.6.5
  • roslib ^1.0.1
  • serve ^14.2.3
  • vue ^2.6.10
  • vue-router ^3.0.7
tools/dance_movement_generators/requirements.txt pypi
  • matplotlib *
  • numpy *
  • scipy *
tools/dnn_training/requirements.txt pypi
  • librosa *
  • matplotlib *
  • numpy *
  • opencv-python *
  • pyyaml *
  • scikit-image *
  • scipy *
  • sklearn *
  • torch *
  • torchaudio *
  • torchvision *
  • tqdm *
tools/odas_configuration_generator/requirements.txt pypi
  • matplotlib *
  • numpy *
tools/setup_scripts/files/requirements.txt pypi
  • build *
  • faster-whisper ==0.9.0
  • google-cloud-speech ==2.19.0
  • google-cloud-texttospeech ==2.14.1
  • grpcio-status ==1.48.2
  • ipinfo *
  • libconf *
  • librosa ==0.9
  • llvmlite ==0.31.0
  • matplotlib ==3.1.2
  • numba ==0.48.0
  • numpy ==1.21.6
  • protobuf ==3.20.3
  • pybind11-stubgen *
  • resampy ==0.3.1
  • scikit-learn <0.22.3,>=0.22.2
  • scipy ==1.3.3
  • sounddevice *
  • transforms3d *
tools/stewart_simulator/requirements.txt pypi
  • matplotlib *
  • numba *
  • numpy *
  • pyside2 *
  • scipy *
  • sympy *