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Revisiting active perception.

Ruzena BajcsyYiannis AloimonosJohn K Tsotsos
Published in: Autonomous robots (2017)
Despite the recent successes in robotics, artificial intelligence and computer vision, a complete artificial agent necessarily must include active perception. A multitude of ideas and methods for how to accomplish this have already appeared in the past, their broader utility perhaps impeded by insufficient computational power or costly hardware. The history of these ideas, perhaps selective due to our perspectives, is presented with the goal of organizing the past literature and highlighting the seminal contributions. We argue that those contributions are as relevant today as they were decades ago and, with the state of modern computational tools, are poised to find new life in the robotic perception systems of the next decade.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • systematic review
  • minimally invasive