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GRASP-机器人通过内省、模仿和惊奇而产生的认知领悟
GRASP - Emergence of Cognitive Grasping through Introspection, Emulation and Surprise |
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| 课程网址: |
http://videolectures.net/cogsys2012_kragic_grasping/
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| 主讲教师: |
Danica Kragić
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| 开课单位: |
KTH-皇家理工学院
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| 开课时间: |
2012-03-14
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| 课程语种: |
英语
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| 中文简介: |
GRASP是一个综合项目，由欧洲委员会通过第七框架计划（FP7）信息社会技术下的认知单位资助。该项目于2008年3月1日启动，共运行48个月。 GRASP的目标是设计一个能够在开放式环境中执行抓取和操作任务的认知系统，处理新奇，不确定和不可预见的情况。为了实现项目的目标，研究对象操纵和抓取问题将为系统设计提供理论和可测量的基础，这在人类和人工系统中都是有效的。这对于要在真实环境中部署并与人和其他代理交互的人工认知系统的设计是至关重要的。这种系统需要能够利用先天知识和自我理解来逐渐发展认知能力。为了证明我们的方法的可行性，我们将实例化，实现和评估我们关于具有不同实施例和复杂性的机器人系统的理论和假设。 GRASP超越了经典的感知行为或行为感知方法，并实现了一种预测 - 行为 - 感知范式，该范式源于人类大脑研究的发现和人类心理训练的结果，其中通过不同的仿真原理检索自我知识。掌握人类的知识可以用于提供抓取过程的初始模型，然后必须通过对特定实施例的内省来接地。为了实现开放式认知行为，我们使用惊喜来引导掌握知识和建模的过程。
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| 课程简介: |
GRASP is an Integrated Project funded by the European Commission through its Cognition Unit under the Information Society Technologies of the seventh Framework Programme (FP7). The project was launched on 1st of March 2008 and will run for a total of 48 months. The aim of GRASP is the design of a cognitive system capable of performing grasping and manipulation tasks in open-ended environments, dealing with novelty, uncertainty and unforeseen situations. To meet the aim of the project, studying the problem of object manipulation and grasping will provide a theoretical and measurable basis for system design that is valid in both human and artificial systems. This is of utmost importance for the design of artificial cognitive systems that are to be deployed in real environments and interact with humans and other agents. Such systems need the ability to exploit the innate knowledge and self-understanding to gradually develop cognitive capabilities. To demonstrate the feasibility of our approach, we will instantiate, implement and evaluate our theories and hypotheses on robot systems with different embodiments and complexity. GRASP goes beyond the classical perceive-act or act-perceive approach and implements a predict-act-perceive paradigm that originates from findings of human brain research and results of mental training in humans where the self-knowledge is retrieved through different emulation principles. The knowledge of grasping in humans can be used to provide the initial model of the grasping process that then has to be grounded through introspection to the specific embodiment. To achieve open-ended cognitive behaviour, we use surprise to steer the generation of grasping knowledge and modelling.
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| 关 键 词: |
GRASP; 信息社会技术; 开放式环境中执行抓取和操作任务的认知系统; 人机交互; 物理交互; 开放式认知行为
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| 课程来源: |
视频讲座网
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| 最后编审: |
2019-10-17：cwx
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| 阅读次数: |
41
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