The proportional–integral–derivative (PID) control is the most common control approach
used in industrial and commercial mechatronics products. The PID control has been relevant …

As one of the tiniest flying objects, unmanned aerial vehicles (UAVs) are often expanded as
the “swarm” to execute missions. In this article, we investigate the multiquadcopter and …

Autonomous security unmanned aerial vehicles (UAVs) have recently gained popularity as
an effective solution for accomplishing target/intrusion detection and tracking tasks with little …

In this paper, we propose a novel Image-Based Visual Servoing (IBVS) controller for
multirotor aerial robots based on a recent deep reinforcement learning algorithm named …

Traversing through a tilted narrow gap is previously an intractable task for reinforcement
learning mainly due to two challenges. First, searching feasible trajectories is not trivial …

Learning to control robots without requiring engineered models has been a long-term goal,
promising diverse and novel applications. Yet, reinforcement learning has only achieved …

Reinforcement learning (RL) is one of the popular methods for intelligent control and
decision making in the field of robotics recently. The goal of RL is to learn an optimal policy …

Uncertainty of target motion, limited perception ability of onboard cameras, and constrained
control have brought new challenges to unmanned aerial vehicle (UAV) dynamic target …

Nowadays, deep reinforcement learning (DRL) has made remarkable achievements in
unmanned aerial vehicle (UAV) target following. However, current DRL-based solutions only …

Nowadays, deep reinforcement learning (DRL) has made remarkable achievements in the
research of unmanned aerial vehicle (UAV) applications. However, much of the current …