Extreme Accuracy: Wildcat won the most accurate object detection prize in the DARPA Subterranean Challenge, a global robotics competition for underground exploration and mapping, where CSIRO competed against the best field robotics groups in the world. The system automatically corrects for errors in large maps. Robust Performance: It works reliably in the toughest environments such as tunnels, confined spaces and open areas, where other SLAM systems fail.The technology works in conjunction with an IMU (Inertial Motion Unit) and LiDAR sensors with the option to add other sensors such as chemical, radiological, gas, GPS and Wi-Fi. Improvedperformance of existing sensor payloads.Real-time mapping and localisation for mobile applications.Robot teaming in challenging environments.Perception systems for autonomous robots, drones and vehicles.Wildcat’s performance and capability is based on ten years of cutting edge research and is designed to be one of the world’s most versatile, robust and accurate SLAM solutions for use in: The ‘CatPack’ perception system contains Wildcat software and can be attached to any ground robot or vehicle to provide real-time localisation and mapping data for autonomous operation and high-fidelity mapping. The technology’s highly-accurate mapping and positioning capabilities enable machines to successfully navigate unsafe, complex and unstructured environments without GPS or other external positioning information. Wildcat enables a vehicle to map, analyse and navigate its surrounding environment without any human intervention, an action that could save resources, time and money.ĭesigned to enable autonomy for robots working in a team, Wildcat is a cutting-edge 3D SLAM (Simultaneous Localisation and Mapping) software with world-leading accuracy and robustness. Remote controlled robots require constant monitoring by an operator, but with perception pack Wildcat, these machines can operate autonomously. Our response Algorithms convert data from robots sensors into environmental mapĬSIRO’s Data61 Wildcat creating a detailed scan of an indoor environment and detecting height of objects, to act as a map for an autonomous robot SLAM solutions must be robust, reliable and accurate enough to meet the needs of multiple industries. Robots must use their on-board sensors and perception algorithms to simultaneously build detailed maps of the environment whilst localising themselves within them. This capability is called SLAM, or Simultaneous Localisation and Mapping. Search and rescue, agriculture, critical infrastructure and mining are just some of the industries that require this capability.ĭeploying teams of robots to help deliver outcomes in complex scenarios often requires them to operate dependably in unstructured and changing environments where there is no external positioning systems such as GPS or pre-existing localisation maps. The challenge Mobile robots providing safety and security in industry across AustraliaĪ team of autonomous mobile robots can improve safety and efficiency in a variety of fields by entering and surveying challenging environments that are not safe for humans.
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