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

Raffaello D'Andrea: 拉菲羅安德烈 (Raffaello D'Andrea): 四軸飛行器驚人的運動能力

拉菲羅安德烈 (Raffaello D'Andrea): 四軸飛行器驚人的運動能力

在 TEDGlobal 的機器人實驗室，拉菲羅安德烈 (Raffaello D'Andrea) 展示他的四軸飛行器：是可以像運動員一樣思考的機器人，用可以幫助它們學習的演算法，來解決物理的問題。經由一系列精采的示範，安德烈展示了無人機可以接球、平衡，以及共同做出決定－－注意還有用 Kinect 來控制四軸飛行器的示範，讓人好想立刻擁有。

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.