Obstacle avoidance of hexapod robots using fuzzy Q-learning

J Hong, K Tang, C Chen - 2017 IEEE Symposium Series on …, 2017 - ieeexplore.ieee.org
Safe and autonomous obstacle avoidance plays an important role in the navigation control
of hexapod robots. In this paper, we combine the method of reinforcement learning with …

Navigation of Mini Unmanned Aerial Vehicle in Unknown Environment

BNA Samed, AA Aldair - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
In this paper, two algorithms are proposed to navigate the mini unmanned aerial vehicle
(MUAV) in unknown environment. The first algorithm is path planning algorithm, it proposed …

[PDF][PDF] Model Predictive Controller Used in Guidance with Obstacle Avoidance of Multirotor Aerial Vehicles

J Silva, DA Santos - Congresso Brasileiro de Engenharia …, 2016 - researchgate.net
This article deals with the problem of waypoint-based guidance of multirotor aerial vehicles
with avoidance of multiple polytopic obstacles. In order to solve the problem, a formulation of …

[引用][C] Experimental validation of a trajectory tracking control using the AR. drone quadrotor

ÍB Viana, LMS Santana, R Ballet, DA dos Santos… - Congresso Brasileiro de …, 2016