A Biologically Inspired Adaptive Working Memory for Robots.
Marjorie Skubic, David C. Noelle, D. Mitch Wilkes, K. Kawamura, James M. Keller
- 发表年份
- 2004
- 引用次数
- 27
摘要
In this paper, we discuss the motivation, approach, and status of a new NSF ITR project in which an adaptive working memory is investigated for robot control and learning. There is much evidence for the existence of such a memory structure in primates. Such memory is closely tied to the learning and execution of tasks, as it contributes to decision-making capabilities by focusing on essential task information and discarding distractions. We will integrate the adaptive working memory structure into a robot to explore the issues of task learning in a physical embodiment. This leads to a complex but realistic system involving perceptual systems, actuators, reasoning, and short-term and long-term memory structures. In the paper, we discuss also planned experiments intended to evaluate the utility of the adaptive working memory.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991