Efstathios Bakolas

TL;DR: In this paper , a collision avoidance vector field (CAVF) is used to steer an agent to a desired final state whose motion is described by a double integrator kinematic model.

TL;DR: In this article, the first two moments of the uncertain state of a discrete time nonlinear stochastic system to prescribed goal quantities at a given final time are considered, and a more tractable and intuitive approach which relies on a greedy control policy is proposed, consisting of the first elements of the control policies that solve a sequence of corresponding linearized covariance steering problems.

TL;DR: In this paper , a minimum-time steering problem for a drone model with bounded acceleration across a set of desired waypoints in the presence of gravity is addressed. And the authors present a method to calculate the minimum time control input to steer the drone between two waypoints based on a continuous-time problem formulation that is solved using Pontryagin's minimum principle.

TL;DR: It is shown that the guidance problem can be reformulated as an equivalent pursuit evasion game with time-varying affine dynamics and an extension of a specialized solution approach, which transforms the pursuit–evasion game via a special state transformation into a family of games with fixed terminal time.

TL;DR: This work studies the problem of controlling an underactuated Unmanned Aerial Vehicle subject to Newton-Euler dynamics following a maneuvering, unpredictable target in the three-dimensional Euclidean space and proposes a nonlinear control law based on Lyapunov-based design and backstepping algorithm.