Name: 四轴飞行器灵活的运动性能
Uploaded: 2013-06-11T19:44:05Z
Duration: 15 min 54 s
Description: 在TEDGlobal的机器人试验室里，拉菲洛·安德烈展示了如运动员一般思考的四轴飞行器，四轴飞行器能根据被输入的运算法则灵活解决问题。在一系列漂亮演示中，安德烈展示了飞行器如何接球，掌握平衡及如何与人一同作出决定。让我们一同关注由Kinect控制的四轴飞行器精彩表演。

Nonlinear quadrocopter attitude control

A platform for aerial robotics research and demonstration: The Flying Machine Arena

A flying inverted pendulum

Stability and control of a quadrocopter despite the complete loss of one, two, or three propellers

Adaptive fast open-loop maneuvers for quadrocopters

A computationally efﬁcient algorithm for state-to-state quadrocopter trajectory generation and feasibility veriﬁcation

Cooperative quadrocopter ball throwing and catching

Admittance control for physical human-quadrocopter interaction

在TEDGlobal的机器人试验室里，拉菲洛·安德烈展示了如运动员一般思考的四轴飞行器，四轴飞行器能根据被输入的运算法则灵活解决问题。在一系列漂亮演示中，安德烈展示了飞行器如何接球，掌握平衡及如何与人一同作出决定。让我们一同关注由Kinect控制的四轴飞行器精彩表演。

四轴飞行器灵活的运动性能

Quadcopters can now perform feats once reserved for athletes, like balancing poles, catching balls, and even flying with damaged propellers. Their agility comes from algorithms that use physics and control theory to learn and adapt, allowing these machines to make split-second decisions and recover from unexpected setbacks. In one demonstration, a quadcopter adjusted its moves every 20 milliseconds to hit a flying ball, showing how machines can master athletic skills through rapid calculation and practice. By combining machine athleticism with human gestures, new forms of collaboration and interaction are emerging.