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We specialize in developing reliable software for robots, delivering comprehensive solutions across various modules, from drivers to automation applications.
Contact usWe bring extensive experience in working with ROS and ROS 2, honed through years of partnership with OSRF and close collaboration with the core ROS development team. Whether using C++, Python, or Rust, and leveraging transports like DDS, gRPC, LCM, or Zenoh, our team has built the foundations for numerous real-world autonomous systems powered by both ROS and custom frameworks.
Our expertise includes advanced filtering and optimization techniques for unstructured and semi-structured environments. We deliver robust localization and mapping solutions—both open-source and custom-designed—that thrive in agricultural, industrial, and logistics applications. This expertise led to the creation of Beluga, our open-source Monte Carlo Localization framework, designed as a drop-in replacement for Nav2 AMCL.
We specialize in benchmarking a variety of sensors, including LIDARs, Cameras, and IMUs to evaluate and optimize performance. Leveraging sensor fusion techniques, we integrate real and synthetic data to build robust perception pipelines. These pipelines incorporate filtering, segmentation, detection, and estimation techniques, advancing algorithm development and system reliability.
Our extensive experience extends to navigation and motion planning algorithms for both ground robots and robotic arms. This includes integrating tools like Nav2 and MoveIt, as well as developing custom planning and control software. From modeling system kinematics and dynamics to implementing classical, optimal, and ML-based controllers, we ensure precise tuning in simulation before deploying to hardware.
Using computational models such as behavior trees and finite state machines, we enable robots to operate autonomously and exhibit sophisticated behavior. Our expertise includes interfacing robots with machines and humans in collaborative environments, prioritizing safety and seamless integration. We extend these capabilities to multi-robot systems, designing environment-aware algorithms and synchronization mechanisms that optimize resource allocation in shared spaces.