R2 Labs develops robotic and automation control systems, including the RAC platform, to enhance operational efficiency and address labor shortages. They provide end-to-end solutions encompassing system design, deployment, and integration of AI, vision systems, and Industrial IoT capabilities. The company delivers production-grade software and custom development services for complex industrial automation applications.
Funding
Funding not disclosed
Founders
Product
Problem
Many industries, such as agriculture and manufacturing, require precise and adaptable automation systems to enhance operational efficiency. Traditional automation solutions often lack the flexibility to handle variable conditions and require specialized expertise for integration and maintenance.
Solution
R2 Labs provides comprehensive robotics and automation solutions, spanning from initial design to full-scale production. They leverage computer vision, model predictive control, and custom hardware integration to create adaptable systems tailored to specific client needs. Their approach considers technical design, human factors, and manufacturability to deliver optimal solutions for complex industrial processes. R2 Labs' services include software development, hardware design, prototyping, and manufacturing, ensuring a seamless transition from concept to deployment.
Target Audience
R2 Labs primarily serves clients in the agriculture, medical, and manufacturing sectors seeking custom robotics and automation solutions to improve efficiency and precision in their operations.
Features
- Custom robotics solutions tailored to specific industry needs, including agriculture, medical, and manufacturing.
- Expertise in computer vision, system engineering, and model predictive control for advanced automation.
- In-house capabilities for mechanical design, electrical integration, and software development (ROS, Python, C++, Linux, firmware).
- Manufacturing services including 3D printing, machining, and assembly.
- R2 Controller: a multipurpose industrial motion controller built on Linux for easier developer access.
- Software development for mobile robots, including sensor fusion for GPS-based localization and vision systems for object classification.
- Development of adaptive model predictive controllers for complex systems with variable feedback delays.
- Integration of robotic end-effectors with industrial robot arms, including Python drivers for Profinet control.