Describes a method for finding optimal trajectories for multiple aircraft avoiding collisions.
Developments in spacecraft path-planning have shown that trajectory optimization including …

In this paper, an approach to aircraft trajectory optimization is presented in which integer and
continuous variables are considered. Integer variables model decision-making processes …

Methods of time-controlled optimal flight-trajectory generation are developed that include the
effects of risk from a threat environment. Lateral and vertical algorithms are developed for …

AUTONOMOUS formation ying of satellite clusters has been identified as an enabling
technology for many future NASA and US Air Force missions. 1¡ 4 The use of eets of smaller …

This paper extends a recently-developed path planning method to account forplume
impingement, which is a key concern for on-orbit rendezvous and formation flying …

This paper presents a new approach to trajectory optimization for autonomous fixed-wing
aerial vehicles performing large-scale maneuvers. The main result is a planner which …

The Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC), a fleet
of quadrotor helicopters, has been developed as a testbed for novel algorithms that enable …

This paper tackles the collision-avoidance problem in air traffic management. The problem
consists of deciding the best strategy for new aircraft configurations (velocity and altitude …

THIS paper develops a novel algorithm guaranteed to find globally optimal solutions to two-
dimensional nonlinear vehicle trajectory design problems subject to avoidance constraints …

A methodology for optimal trajectory planning useful for the nap-of-the-Earth guidance of
helicopters is presented. This approach employs an adjoint-control transformation together …