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 …

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

In this paper a Crazyflie 2.0 nano quadrotor helicopter (quadcopter) as an open source
experimental platform for research and education in robotics and control engineering has …

This paper presents a tutorial overview of path integral (PI) approaches for stochastic
optimal control and trajectory optimization. We concisely summarize the theoretical …

Micro aerial vehicles (MAVs), especially quadrotors, have been widely used in field
applications, such as disaster response, field surveillance, and search‐and‐rescue. For …

This paper presents a unified optimization-based path planning approach to efficiently
compute locally optimal solutions to optimal path planning problems in unstructured …

Cooperative trajectory planning for autonomous vehicles has garnered significant attention
in structured environments, but corresponding methodologies for unstructured environments …

In this paper, we present a framework to do optimal time allocation for quadrotor trajectory
generation. Using this method, we can generate minimum-time piecewise polynomial …

The nonlinear vehicle dynamics and the non-convexity of collision avoidance constraints
pose major challenges for optimization-based trajectory planning of automated vehicles …

This work proposes a convex optimization-based framework for the trajectory planning and
tracking of quadcopters that ensures continuous-time safety guarantees. Using the convexity …