In this paper, we propose a new solution to motion planning and control problem for a flock of 1-trailer systems. A set of artificial potential field functions is proposed for the flock of 1-trailer robots via the Lyapunov-based control scheme for the avoidance of swarm of boids and attraction to their designated targets. The dynamic environment for the first time includes a swarm of boids, which is governed separately by a system of ODE’s. The swarm exhibits collective emergent behaviors in the vicinity of the workspace while the flock of 1-trailer systems safely maneuver from their initial configuration to designated targets. The effectiveness of the control laws is demonstrated via computer simulations. The novelty of the paper lies in t...
In this paper, we revisit the artificial potential based approach in the flocking control for multi-...
The research in this dissertation is concerned with developing a method to produce flocking behavior...
This paper presents a new approach to control robots, which can quickly find their swarm while track...
Abstract—This paper proposes a new obstacle and collision avoidance control laws for a three-dimensi...
This paper considers the design of a motion planner that governs the motion of a flock of steerable ...
This paper proposes a new obstacle and collision avoidance control laws for a three-dimensional swa...
In this paper, we propose a solution to the motion planning and control problem for a swarm of three...
This paper presents a novel flocking strategy for a large-scale swarm of robots that enables the rob...
In this paper, we explore the creation of control algorithms for swarms of robots playing the role o...
In this paper, we propose a new solution to the motion planning and control problem for a team of ca...
This paper proposes a solution to the motion planning and control problem of car-like mobile robots ...
Flocking and swarming are inspired by nature. Swarming formation involves a large number of agents o...
This paper presents a distributed approach for adaptive flocking of swarms of mobile robots that ena...
Swarm intelligence, a nature-inspired concept that includes multiplicity, stochasticity, randomness,...
We address a fundamental issue of collective motion of aerial robots: how to ensure that large flock...
In this paper, we revisit the artificial potential based approach in the flocking control for multi-...
The research in this dissertation is concerned with developing a method to produce flocking behavior...
This paper presents a new approach to control robots, which can quickly find their swarm while track...
Abstract—This paper proposes a new obstacle and collision avoidance control laws for a three-dimensi...
This paper considers the design of a motion planner that governs the motion of a flock of steerable ...
This paper proposes a new obstacle and collision avoidance control laws for a three-dimensional swa...
In this paper, we propose a solution to the motion planning and control problem for a swarm of three...
This paper presents a novel flocking strategy for a large-scale swarm of robots that enables the rob...
In this paper, we explore the creation of control algorithms for swarms of robots playing the role o...
In this paper, we propose a new solution to the motion planning and control problem for a team of ca...
This paper proposes a solution to the motion planning and control problem of car-like mobile robots ...
Flocking and swarming are inspired by nature. Swarming formation involves a large number of agents o...
This paper presents a distributed approach for adaptive flocking of swarms of mobile robots that ena...
Swarm intelligence, a nature-inspired concept that includes multiplicity, stochasticity, randomness,...
We address a fundamental issue of collective motion of aerial robots: how to ensure that large flock...
In this paper, we revisit the artificial potential based approach in the flocking control for multi-...
The research in this dissertation is concerned with developing a method to produce flocking behavior...
This paper presents a new approach to control robots, which can quickly find their swarm while track...