Unmanned Aerial Vehicles (UAVs) commonly called drones are gaining interest for
infrastructure inspection due to their ability to automize and monitor large areas more …

Sequential convex programming (SCP) has recently emerged as an effective tool to quickly
compute locally optimal trajectories for robotic and aerospace systems alike, even when …

Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles (UAVs)
in dense obstacle environments remains computationally intractable. This paper proposes a …

THANKS to the advance in communications, control, and actua-tion, massive improvement
in technology of unmanned aerial vehicles (UAVs) has taken place in the last two decades …

A novel algorithm is presented in this paper for motion planning of an unmanned aerial
vehicle (UAV) from a start position to a goal position in a two-dimensional environment …

This work presents the reachable set (RS)-based trajectory planning algorithm for spacecraft
swarm reconfiguration with collision avoidance and fuel-effective consumption. To generate …

This paper presents a novel guidance algorithm for spacecraft swarms in an environment
cluttered with many obstacles like a debris field or the asteroid belt. The objective of this …

Recently proposed Generalized Shape Expansion (GSE) algorithm for planning of shortest
collision-free path in 2-D environments has shown significant promise in improvement of its …

Strategic missions to orbit celestial bodies have primarily considered spacecraft trajectories
as a two-step process: capture of the spacecraft within the gravitational influence of the …

For autonomous spacecraft close proximity under environments containing multiple
obstacles and complicated constraints, incrementally rapid planning approaches stemming …