e-con Robotics is the central repository for our research team's robotics projects. This repository serves as a hub for ongoing initiatives, providing documentation, references, and links to individual project repositories. It is structured to provide a professional overview of our research and development activities.
We are a research team focused on advanced robotics solutions, including autonomous navigation, perception, and sensor integration. Our projects leverage ROS 2 and e-con Systems’ Robotic Computing Platform (RCP) for development and experimentation.
- Autonomous navigation and mapping (single and multi-robot systems)
- Docking and charging station integration
- Robot perception and sensor fusion
- Object tracking and human-following systems
- Low-level obstacle detection using depth and ToF sensors
These projects encompass both software and hardware aspects of robotics, including AI-based perception, motion planning, and integration with custom robotic platforms.
eRCP – Robotic Computing Platform (RCP) is based on the Ambarella CV72S AI Vision Processor. The platform provides:
- CV72S Vision Processor Module (VPM)
- Carrier board with multiple interfaces, sensor arrays, and motor control interfaces
- Full SDK supporting the ROS 2 stack, with pre-implemented navigation and mapping algorithms
- High customizability to meet specific automation requirements
- Support for integration of new hardware and software peripherals
The RCP provides a robust foundation for robotics development, enabling researchers and developers to build advanced robotic applications efficiently.
- Repository: ros2-multi-robot-autonomous-mapping
- Description: Multi-robot autonomous mapping and navigation using ROS 2, SLAM Toolbox, and Navigation2. Supports Gazebo simulation, RViz visualization, and deployment on real mobile compatible robots.
- Blog & Documentation:
- Repository: ros2-docking-system
- Description: Multi-robot docking system for autonomous charging on real mobile robots, featuring a complete ROS 2 package and Yocto-based embedded workflow with Nav2 navigation, ArUco marker detection, and battery-aware mode switching.
- Blog & Documentation:
- BLOG 1: how-robot-fleets-achieve-full-mission-autonomy-from-ros-2-autonomous-docking-to-self-charging
- BLOG 2: [what-are-the-key-engineering-challenges-in-autonomous-docking-systems-and-how-are-they-solved-part-2](https://www.e-consystems.com/blog/camera/applications/how-to-overcome-vision-challenges-while-building-a-multi-robot-mapping-system-part-2
- Repository: DepthVista-Helix-IsaacSim-Camera
- Description: Adds the e-con DepthVista Helix iToF camera to Isaac Sim's supported cameras and depth sensors, with a ROS 2 publisher, a browser-based depth/point-cloud viewer, and ready-to-run example scenes.
- Blog & Documentation:
Additional projects will be added as separate repositories as they are finalized.
For updates, discussions, and blog posts related to our robotics projects, visit:
https://www.e-consystems.com/blogs/