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Towards Long-term Autonomy: A Perspective from Robot Learning

Zhi YanLi SunTomas KrajnikTom DuckettNicola Bellotto
Dec 2022
摘要
In the future, service robots are expected to be able to operate autonomouslyfor long periods of time without human intervention. Many work striving forthis goal have been emerging with the development of robotics, both hardwareand software. Today we believe that an important underpinning of long-termrobot autonomy is the ability of robots to learn on site and on-the-fly,especially when they are deployed in changing environments or need to traversedifferent environments. In this paper, we examine the problem of long-termautonomy from the perspective of robot learning, especially in an online way,and discuss in tandem its premise "data" and the subsequent "deployment".
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