Revisiting active perception
Revisiting active perception
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DOI：
10.1007/s10514-017-9615-3
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发表时间：
2018-02-01
影响因子：
3.5
通讯作者：
Tsotsos, John K.
中科院分区：
文献类型：
--
作者：
Bajesy, Ruzena;Aloimonos, Yiannis;Tsotsos, John K.
尽管最近在机器人学、人工智能和计算机视觉方面取得了成功，但一个完整的人工智能体必须包括主动感知。过去已经出现了许多如何实现这一点的想法和方法，它们更广泛的实用性可能受到计算能力不足或昂贵的硬件的阻碍。这些思想的历史，可能是由于我们的观点而选择性的，呈现的目的是组织过去的文献并突出其开创性的贡献。我们认为，这些贡献在今天和几十年前一样重要，随着现代计算工具的发展，这些贡献有望在未来十年的机器人感知系统中找到新的生命。
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.