Improving perception of unknown environments or objects for robotic systems

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Robotic systems were deployed, at first, in tightly controlled environments, such as laboratories or factory floors. Their operating strategies were based on pre-programmed knowledge, under the assumption that the environment was fully observable and would not change over time. Nowadays, robotic systems are being deployed increasingly in uncontrolled environments, such as buildings occupied by humans or outdoors. Robotic systems still need to perceive their environment in a useful manner, despite the fact that they might be operating in an unfamiliar environment. Consequently, these systems must extract and assimilate new knowledge on-the-fly, based on the information collected through their sensors, such as tactile sensors, cameras or laser range finders. Reliance on pre-programmed knowledge is no longer sufficient for these robots.