Outputs
In the Computational Robotics Laboratory (CRL/ComRob), our research has delivered practical algorithmic and system-level results that push autonomy from controlled demos to real deployments. We have contributed new methods for mission planning and routing in multi-goal data-collection tasks (including TSP/TSPN-style formulations and robust variants), enabling autonomous robots to gather information efficiently under real-world constraints. We have also produced learning-driven autonomy results—e.g., unsupervised/self-organizing representations that adapt online to prioritize sensing targets and scale to complex environments—supporting long-duration operations and adaptive decision-making. In parallel, CRL advances resilient navigation and control, including work spanning GNSS-denied operation, sensor fusion/SLAM-oriented autonomy themes, and agile control for aerial and legged systems—bridging theory with field-ready robotic platforms used across the lab.
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System for localization and navigation of autonomous robots
The system is a cyber-physical stack for autonomous patrolling of industrial sites using ground robots, combining global and local perception to enable reliable operation in dynamic environments. The main computing unit is an 11th-generation Intel NUC with dual Ethernet interfaces, allowing sensor separation into independent networks and high-bandwidth data streaming. Navigation and obstacle perception rely on dual 128-channel Ouster LiDARs (OS0 and OS-Dome), complemented by a multi-constellation GNSS receiver with dual antennas for precise and redundant localization. High-resolution Basler RGB cameras support object detection and classification, while a Robustel RB5020 5G modem provides low-latency, high-throughput communication with the control center for real-time data and video transmission.
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Functional sample of the complete system deployed in a real-world environment
Functional sample of a mobile robotic sensing system deployed in a challenging real-world environment, enabling real-time sharing of mission and telemetry data with command centers in the Czech Republic and Bavaria. The system demonstrates cross-border communication interoperability outside public 5G coverage and integrates project-developed communication optimization algorithms and situational awareness model.
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