Bajcsy Ruzena, Aloimonos Yiannis, Tsotsos John K
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA USA.
2Department of Computer Science, University of Maryland, College Park, MD USA.
Auton Robots. 2018;42(2):177-196. doi: 10.1007/s10514-017-9615-3. Epub 2017 Feb 15.
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.
尽管最近在机器人技术、人工智能和计算机视觉方面取得了成功，但一个完整的智能体必然必须包括主动感知。过去已经出现了许多关于如何实现这一点的想法和方法，它们更广泛的应用可能受到计算能力不足或硬件成本高昂的阻碍。这些想法的历史，可能因我们的观点而具有选择性，呈现出来的目的是整理过去的文献并突出开创性的贡献。我们认为，这些贡献在今天与几十年前一样重要，并且随着现代计算工具的发展，有望在未来十年的机器人感知系统中获得新的生机。
