Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau (Englis

Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau (Englis

Price : 125.25

Ends on : N/A

View on eBay
h)

Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau is a groundbreaking research paper that explores the use of neural networks in guiding mobile robots. Pomerleau’s work highlights the importance of perception in robotics and how neural networks can be used to enhance a robot’s ability to navigate its environment.

In this paper, Pomerleau discusses how neural networks can be trained to recognize and interpret sensory input, such as images from cameras or data from sensors, in order to make decisions about how to move and interact with the world around them. By using neural networks, mobile robots can adapt to changing environments and make decisions in real-time based on their perception of the world.

Pomerleau’s research has significant implications for the field of robotics, as it demonstrates the power of neural networks in improving the autonomy and decision-making capabilities of mobile robots. By incorporating neural network perception into robot guidance systems, researchers can create more intelligent and capable robots that can navigate complex environments with ease.

Overall, Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau is a must-read for anyone interested in the intersection of artificial intelligence and robotics. Pomerleau’s work showcases the potential of neural networks in revolutionizing the field of robotics and paving the way for more advanced and autonomous robots in the future.
#Neural #Network #Perception #Mobile #Robot #Guidance #Dean #Pomerleau #Englis