This paper presents a multiple observers based anti-disturbance control (MOBADC) scheme against multiple disturbances for a quadrotor unmanned aerial vehicle (UAV). The quadrotor …
This paper presents a Robust Constrained Learning-based Nonlinear Model Predictive Control (RC-LB-NMPC) algorithm for path-tracking in off-road terrain. For mobile robots …
Quadrotors are well suited for executing fast maneuvers with high accelerations but they are still unable to follow a fast trajectory with centimeter accuracy without iteratively learning it …
S Ito, S Troppmair, B Lindner… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
While nanopositioners often use flexures for high quality motion avoiding nonlinearities, the achievable motion range and energy efficiency are limited, due to the force required for …
X Liang, Y Fang, N Sun, H Lin - Mechatronics, 2018 - Elsevier
Aerial transportation is enjoying more and more popularity among disaster-oriented tasks, such as fire fighting, delivery of relief supplies, life-saving aid, and so on, which are …
This article provides a new method for trajectory tracking for quadcopters following a cascaded control approach with formal closed-loop tracking guarantees. An outer-loop …
Inspired by the aerial prowess of flying insects, we demonstrate that their robotic counterpart, an insect-scale flapping-wing robot, can mimic an aggressive maneuver seen in natural …
A Hock, AP Schoellig - Autonomous Robots, 2019 - Springer
The goal of this work is to enable a team of quadrotors to learn how to accurately track a desired trajectory while holding a given formation. We solve this problem in a distributed …
One of the major challenges of automated systems is attributed to the interaction task. This process involves external forces which may be dangerous, for example in an unmanned …