Revisiting active perception

被引:184
作者
Bajesy, Ruzena [1 ]
Aloimonos, Yiannis [2 ]
Tsotsos, John K. [3 ]
机构
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
[2] Univ Maryland, Dept Comp Sci, Computat Vis, College Pk, MD 20742 USA
[3] York Univ, Dept Elect Engn & Comp Sci, Toronto, ON, Canada
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
Sensing; Perception; Attention; Control; ACTION RECOGNITION; VISUAL-ATTENTION; OBJECT SEARCH; VISION; FUNCTIONALITY; COMPLEXITY; SEMANTICS; LANGUAGE; GRAMMAR; SYSTEMS;
D O I
10.1007/s10514-017-9615-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:177 / 196
页数:20
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