APPLIED MACHINE LEARNING FOR MULTI-SENSORY ROBOT PERCEPTION
In recent years, advances in autonomous robotics have begun to transform how we work and live. Unmanned Aerial Vehicles (UAV) and Unmanned Ground Vehicles are helping us to deliver goods, conduct surveys of construction sites, and perform search and rescue alongside first responders. However, designing robots with this level of autonomy is often challenging due to the complexity of the real-world environment. Multi-sensory perception is a critical component to address this challenge and develop robust autonomous robotic systems. By combining multiple inputs from sensors, the system can eliminate ...
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