Robotics and Autonomy
Moving robots from the factory floor to warehouses, offices, and homes is all about cooperation. Precision indoor distance measurements from robot-to-robot, robot-to-anchor, and robot-to-person enable cooperation like never before. Seemingly simple autonomous behaviors, such as following or avoiding, mapping, hunting, and gathering will be efficiently performed.
The robot of the future is a group of small robots. Miniature robotic swarms will be enabled by our small UWB modules that provide the robot radio trifecta: through-wall localization, wireless communications, and multi-static radar. Simultaneous localization and mapping (SLAM) becomes relatively easy when the resources of multiple sensors are combined with simultaneous precision separation distances.
Customers around the world are applying our PulsON UWB ranging radios and radar sensors to make their robots smarter and location-aware. Our technology has been used:
- To provide robots with knowledge of their own location
- To enable robots to navigate autonomously indoors and in other GPS-denied environments
- To allow robots to follow each other in autonomous vehicle convoys
- To guide drones as they fly
- As a precision landing and collision avoidance radar for tight quarter, limited visibility conditions
Time Domain parent company 5D Robotics’ “Virtual Rail” capability enables robots to precisely navigate a designated path based on precise UWB positioning. Users can easily create and modify paths to offer unprecedented flexibility in autonomous transportation applications.
Safety is always a concern when using large autonomous vehicles. For autonomy to become commonplace in industries such as mining, agriculture, and construction, operation requires a trusted navigation technology that excels in environments and conditions where GPS and vision sensors are lacking. Precision UWB ranging is the key aiding technology that will allow these large vehicles to safely and precisely navigate around people, other vehicles, and meet precision location requirements in all weather, lighting, dust, and multipath environments.
There are two significant types of GPS errors: ionosphere time of flight (TOF) errors and multipath errors. While dGPS and WAAS address the ionosphere issues, until now no one could address the multipath problem. GPS performance can be greatly enhanced using UWB ranging to correct the multipath errors.
Lockheed Martin’s Autonomous Mobility Applique System (AMAS) merges LIDAR, GPS, and Time Domain’s UWB ranging radios to enable driverless vehicles.