This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

Motion planning is a vital module for unmanned aerial vehicles (UAVs), especially in
scenarios of autonomous navigation and operation. This survey delivers some recent state …

This article presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …

In this letter, we propose a robust and efficient quadrotor motion planning system for fast
flight in three-dimensional complex environments. We adopt a kinodynamic path searching …

Recent advances in trajectory replanning have enabled quadrotor to navigate autonomously
in unknown environments. However, high-speed navigation still remains a significant …

In this article, we present an optimization-based framework for multicopter trajectory
planning subject to geometrical configuration constraints and user-defined dynamic …

Autonomous exploration of subterranean environments remains a major challenge for
robotic systems. In response, this paper contributes a novel graph‐based subterranean …

Autonomous navigation in unknown environment is still a hard problem for small Unmanned
Aerial Vehicles (UAVs). Recently, some neural network-based methods are proposed to …

This article presents MADER, a 3-D decentralized and asynchronous trajectory planner for
UAVs that generates collision-free trajectories in environments with static obstacles …

In this paper, we propose a framework for online quadrotor motion planning for autonomous
navigation in unknown environments. Based on the onboard state estimation and …