Profile
Fictionlab is a Polish robotics company (Fictionlab sp. z o.o.) specializing in the design and production of rugged, modular unmanned ground vehicles (UGVs) for research, development, education, and real-world field applications. Operating from its website fictionlab.pl, the company has spent over a decade building reliable mobile robot platforms that allow engineers, researchers, and developers to focus on autonomy, perception, navigation, and sensor integration rather than building base hardware from scratch.
Fictionlab’s flagship robot-based products are the Leo Rover and Raph Rover. The Leo Rover is a versatile, agile, and modular UGV designed for rapid prototyping, education, and outdoor testing. It supports full ROS and ROS 2 integration, offers a balanced payload capacity, and is well-suited for academic research, university projects, and lighter field experiments. The Raph Rover is a more robust and resistant professional-grade platform intended for demanding R&D and industrial use cases where higher payload, stability, and durability are required. Both platforms feature modular designs with extensive add-ons, allowing users to easily mount sensors, payloads, and custom equipment. The company also offers comprehensive Custom Robotics services, providing end-to-end development of bespoke robotic solutions tailored to specific client needs.
Fictionlab emphasizes field-proven, high-uptime platforms that accelerate the journey from idea to real-world deployment. Their rovers are used in applications such as agricultural automation (e.g., poultry farm monitoring), research projects, robotics competitions, and various industrial test scenarios. The company maintains strong community support through documentation, a Discord server, technical resources, and regular updates, including native ROS 2 integration for third-party sensors like the Fixposition Vision-RTK 2. Leo Rover version 1.9 was recently released with improved capabilities. Fictionlab positions its products as practical, upgradeable tools that reduce development time and enable repeatable performance in challenging environments.
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