There’s a growing interest in employing autonomous mobile robots in open work environments such as warehouses, especially with the constraints posed by the global pandemic. And thanks to advances in deep learning algorithms and sensor technology, industrial robots are becoming more versatile and less costly.

But safety and security remain two major concerns in robotics.

… But adversarial training can have a significantly negative impact on the safety of robots, the researchers at IST Austria, MIT, and TU Wien discuss in a paper titled “Adversarial Training is Not Ready for Robot Learning.” Their paper, which has been accepted at the International Conference on Robotics and Automation (ICRA 2021), shows that the field needs new ways to improve adversarial robustness in deep neural networks used in robotics without reducing their accuracy and safety. Read More

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