Inside Unmanned Systems

DEC 2018 - JAN 2019

Inside Unmanned Systems provides actionable business intelligence to decision-makers and influencers operating within the global UAS community. Features include analysis of key technologies, policy/regulatory developments and new product design.

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ENGINEERING. PRACTICE. POLICY. 41 December 2018/January 2019  unmanned systems inside The Robat uses sonar like a bat to help it navigate autonomously and can scan out to a range of about six meters. Robat then used a kind of artificial intelligence system known as an ar- tificial neural network to analyze the echoes. In such a system, components dubbed neurons are fed data and co- operate to solve a problem, such as recognizing images. The neural net repeatedly adjusts the behavior of its neurons and sees if these new pat- terns of behavior are better at solving the problem. Over time, the network discovers which patterns are best at computing solutions, and then adopts these as defaults, mimicking the pro- cess of learning in the human brain. This is the first ground-based robot to use a neural net to help it analyze sonar data, Yovel said. The robot could recognize if objects were plants or not, and it changed its heading if necessary to avoid obstacles fully autonomously. In experiments, the Robat successfully navigated two green- houses without colliding with anything. "We are able to map a new environ- ment accurately and we are able to use a machine-learning algorithm to learn to classify objects," Yovel said. "We can

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