论文标题
使用婴儿肢体运动数据来控制小型空中机器人
Using Infant Limb Movement Data to Control Small Aerial Robots
论文作者
论文摘要
通过偶然反馈促进探索性运动可以积极影响婴儿期运动的发展。我们正在进行的工作方向通过使用小型空中机器人来开发机器人辅助的应急学习环境。本文研究了空中机器人及其相关的运动控制器是否可以用于为我们的目的实现高效且高度响应的机器人飞行。从视频中提取了婴儿踢动力学数据,并用空中机器人用于模拟和物理实验。评估了两个实践控制器的功效:线性PID和一个非线性几何控制器。通过均衡误差(评估与输入婴儿腿轨迹信号的总体偏差)和动态的时间扭曲算法(以量化信号同步),对机器人匹配婴儿踢轨迹的能力进行了定性和定量评估。结果表明,原则上可以跟踪使用小型航空机器人的婴儿踢轨迹,并确定提高跟踪质量所需的进一步发展领域。
Promoting exploratory movements through contingent feedback can positively influence motor development in infancy. Our ongoing work gears toward the development of a robot-assisted contingency learning environment through the use of small aerial robots. This paper examines whether aerial robots and their associated motion controllers can be used to achieve efficient and highly-responsive robot flight for our purpose. Infant kicking kinematic data were extracted from videos and used in simulation and physical experiments with an aerial robot. The efficacy of two standard of practice controllers was assessed: a linear PID and a nonlinear geometric controller. The ability of the robot to match infant kicking trajectories was evaluated qualitatively and quantitatively via the mean squared error (to assess overall deviation from the input infant leg trajectory signals), and dynamic time warping algorithm (to quantify the signal synchrony). Results demonstrate that it is in principle possible to track infant kicking trajectories with small aerials robots, and identify areas of further development required to improve the tracking quality.