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基于TOMSY拓扑的运动合成的机器人的灵巧操纵

TOMSY - Topology Based Motion Synthesis for Dexterous Manipulation
课程网址: http://videolectures.net/cogsys2012_kragic_dexterous/  
主讲教师: Danica Kragić
开课单位: KTH-皇家理工学院
开课时间: 2012-03-14
课程语种: 英语
中文简介:
TOMSY是一个合作项目,由欧洲委员会通过其认知小组资助,隶属于第七框架方案(FP7)的信息社会技术。该项目于2011年4月1日启动,为期36个月。TOMSY的目标是在运动合成算法的技术和可扩展性上实现代际飞跃。我们建议通过学习和开发适当的拓扑表示法,并在灵活、多目标操作、近距离接触机器人控制和计算机动画等具有挑战性的领域对其进行测试来实现这一点。传统的运动规划算法一直在努力解决状态空间和动作空间的维数问题,以及这类问题求解的通用性问题。这个建议建立在现有的拓扑度量的几何概念的基础上,并使用数据驱动的方法来发现捕获关键不变性的多尺度映射——符号、离散和连续潜在空间表示之间的混合。我们将开发利用这种表示法进行传感、规划和控制的方法。TOMSY首次实现了这一目标,通过开发基于操作流形的新型感知对象-动作表示,并对变形机械手设计进行全周期细化,实现了感知、表示和动作生成三个层次的灵活性。开发的方法和硬件将在具有挑战性的真实世界机器人操作问题上进行测试,这些问题包括主要的“关系”块世界、铰接式纸箱折叠或折纸,以及与灵活物体的全身体类人交互。这个项目的结果将对提供一些答案长期问题的“正确”的表现感觉运动控制和提供依据未来一代的机器人和计算机视觉系统能够实时合成运动导致流利的与环境的交互。
课程简介: TOMSY is a Collaborative 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 April 2011 and will run for a total of 36 months.The aim of TOMSY is to enable a generational leap in the techniques and scalability of motion synthesis algorithms. We propose to do this by learning and exploiting appropriate topological representations and testing them on challenging domains of flexible, multi-object manipulation and close contact robot control and computer animation. Traditional motion planning algorithms have struggled to cope with both the dimensionality of the state and action space and generalisability of solutions in such domains. This proposal builds on existing geometric notions of topological metrics and uses data driven methods to discover multi-scale mappings that capture key invariances - blending between symbolic, discrete and continuous latent space representations. We will develop methods for sensing, planning and control using such representations. TOMSY, for the first time, aims to achieve this by realizing flexibility at all the three levels of sensing, representation and action generation by developing novel object-action representations for sensing based on manipulation manifolds and refining metamorphic manipulator design in a complete cycle. The methods and hardware developed will be tested on challenging real world robotic manipulation problems ranging from primarily 'relational' block worlds, to articulated carton folding or origami and all the way to full body humanoid interactions with flexible objects. The results of this project will go a long way towards providing some answers to the long standing question of the 'right' representation in a sensorimotor control and provide a basis for a future generation of robotic and computer vision systems capable of real-time synthesis of motion that result in fluent interaction with their environment.
关 键 词: 信息社会技术; 拓扑表示法; 机器人控制; 机器人和计算机视觉系统
课程来源: 视频讲座网
最后编审: 2019-10-17:cwx
阅读次数: 36