Abstract: A key bottleneck preventing the widespread deployment of robotic and
autonomous systems is robustness. Unfortunately, the university
research environment does little to address this problem: The emphasis
is almost exclusively on new algorithms and capabilities, with
insufficient attention paid to their inherent robustness. In this talk
I discuss several ways in which we have been able to naturally
incorporate robustness in our research: by putting ourselves in
positions where the cost of failure is high.
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