ROS-Neuro
ROS-Neuro provides a ROS-based software framework to integrate human neural interfaces with robotic devices for neurorobotics research and to improve experimental standardization and repeatability.
Key Features:
- Standardization: Provides a unified framework bridging neurophysiological research and robotic applications to promote consistent methodologies and experimental repeatability.
- ROS-based stability and modularity: Leverages the Robot Operating System (ROS) infrastructure to provide a stable, reliable, and modular environment for neurorobotic software integration and distribution.
Scientific Applications:
- Rehabilitation and assistive technologies: Enables development of neurorobots and neural-interface–driven devices for rehabilitation and support of individuals with disabilities.
- Quality-of-life and inclusion studies: Supports research aimed at promoting independence and improving inclusion in everyday activities through neurorobotic solutions.
Methodology:
The framework uses ROS's modular architecture to integrate neural interfaces with robotic systems, enabling customization and extensibility of neurorobotic applications.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C++, Python
- Added:
- 8/17/2022
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Standardisation and normalisation
Outputs
Publications
Tonin L, Beraldo G, Tortora S, Menegatti E. ROS-Neuro: An Open-Source Platform for Neurorobotics. Frontiers in Neurorobotics. 2022;16. doi:10.3389/fnbot.2022.886050. PMID:35619967. PMCID:PMC9127764.