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Implementing a Simultaneous Localization and Mapping (SLAM) system for Robotics/Unmanned Vehicles
Premiering on May 20, 2020
As robotics and unmanned vehicles like drones start to proliferate, many developers find that they need a means of fixing the device to a specific location and then have the device navigate to a destination while avoiding obstacles. In addition, we frequently want the device to create a map of the surrounding area for future reference. In order to most efficiently accomplish these goals, we need to create a SLAM for the device. In this session, we will discuss the various approaches and requirements for 3D SLAMs and how they are constructed. We will address implementations ranging from autonomous cars down to robots based on platforms such as the Raspberry Pi.