Department of Engineering, University of Cambridge, Cambridge, UK.
Curr Biol. 2010 Apr 13;20(7):618-23. doi: 10.1016/j.cub.2010.01.054. Epub 2010 Mar 25.
Skillful tool use requires knowledge of the dynamic properties of tools in order to specify the mapping between applied force and tool motion. Importantly, this mapping depends on the orientation of the tool in the hand. Here we investigate the representation of dynamics during skillful manipulation of a tool that can be grasped at different orientations. We ask whether the motor system uses a single general representation of dynamics for all grasp contexts or whether it uses multiple grasp-specific representations. Using a novel robotic interface, subjects rotated a virtual tool whose orientation relative to the hand could be varied. Subjects could immediately anticipate the force direction for each orientation of the tool based on its visual geometry, and, with experience, they learned to parameterize the force magnitude. Surprisingly, this parameterization of force magnitude showed limited generalization when the orientation of the tool changed. Had subjects parameterized a single general representation, full generalization would be expected. Thus, our results suggest that object dynamics are captured by multiple representations, each of which encodes the mapping associated with a specific grasp context. We suggest that the concept of grasp-specific representations may provide a unifying framework for interpreting previous results related to dynamics learning.
熟练使用工具需要了解工具的动态特性,以便在施加的力和工具运动之间指定映射。重要的是,这种映射取决于工具在手中的方向。在这里,我们研究了在可以以不同方向握持的工具的熟练操作过程中动力学的表示。我们想知道运动系统是否为所有抓握情况使用单个通用的动力学表示,或者是否使用多个特定于抓握的表示。使用新颖的机器人界面,主体旋转了一个虚拟工具,其相对于手的方向可以改变。主体可以根据工具的视觉几何形状立即预测每个工具方向的力方向,并且随着经验的积累,他们学会了参数化力的大小。令人惊讶的是,当工具的方向改变时,力大小的这种参数化显示出有限的泛化。如果主体参数化了单个通用表示,则可以预期完全泛化。因此,我们的结果表明,物体动力学由多个表示来捕获,每个表示都编码与特定抓握情况相关的映射。我们认为,特定于抓握的表示概念可能为解释与动力学学习相关的先前结果提供统一的框架。