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In this paper we present a methodology to control ground robots under malicious attack on sensors. Within the term attack we intend any malicious disturbance injection on sensors, actuators, and controller that would compromise the safety of a robot. In order to guarantee resilience against attacks, we use a control-level technique implemented within a recursive algorithm that takes advantage of redundancy...
The paper presents a controller-observer architecture with decentralized fault tolerance strategy for a networked team of autonomous robots. In the proposed architecture, each robot runs a decentralized observer to estimate the overall system state and a distributed control law for centroid and formation tracking control. The decentralized observer is used to compute a set of residuals in charge of...
A stabilization and control technique developed for steering swarms of unmanned micro aerial vehicles is proposed in this paper. The presented approach based on a visual relative localization of swarm particles is designed for utilization of multi-robot teams in real-world dynamic environments. The core of the swarming behaviour is inspired by Reynold's BOID model proposed for 2D simulations of schooling...
Coverage of a given area by means of coordinated autonomous robots is a mission required in several applications such as, for example, patrolling, monitoring or environmental sampling. From a mathematical perspective, this can often be modeled as the need to estimate a scalar field, eventually time varying as in the security applications. In this paper, the problem is addressed for the challenging...
The paper proposes state estimation-based control for cooperating agricultural robots. To estimate with accuracy the position of the robotic vehicles as well as their motion characteristics, fusion of estimates from multiple sensors is performed with the use of the Derivative-free distributed Kalman Filter. The proposed derivative-free nonlinear filtering method enables distributed state estimation,...
Robotic autonomous driving is a very complex task that tries to replicate the human behavior when performing such task. This paper presents a high-level overview of an architecture applicable for small-scale vehicles in autonomous driving competitions. A special emphasis is given on the sensory and navigation sub-systems since they are the most prominent intelligent decision layers. The former is...
A class of path following and formation controllers are implemented on marine robots performing autonomous surveys in regions polluted by crude oil during the Deepwater Horizon oil spill. The controllers enable the robots to follow lines and curves, and maintain formation collectively while measuring reminiscent crude oil along their paths. The controllers are mathematically sound with proven convergence...
This paper describes a decentralized coordination strategy for multi robot patrolling missions. To this effect, the theory of Gaussian Processes (usually used for estimation purposes) is suitably adapted to tackle the problem of harbour patrolling. The introduction of a time varying dependency in the probabilistic formulation (thus allowing for the sampled field to be dynamic, i.e., changing in time)...
A coordination mechanism to achieve the sampling task of static or dynamic fields by means of a system composed by multiple mobile robots is addressed in this paper. The problem is the estimation of a scalar field. To this aim in a probabilistic framework a solution is proposed that takes into account several constraints. The attention is focused on the vehicles motion generation and the developed...
Sonar and odometer sensors were developed and integrated into the Simulation Environment for Autonomous Robots (SEAR). These new sensors were then validated against a standard simulator, ROSStage as well as on an actual iRobot Create robot using Robot Operating System (ROS). In each simulator, an environment was created to match the real-world test environment. Measurements from the sensors were recorded...
We Propose a new approach to the design and real implementation of wall following and fuzzy perception concept with a non-holonomic mobile robot named KU-DAWIN Robot. The main focus of this paper is obtaining a fuzzy perception of the environment in the design of each reactive behavior and solving the problem of behavior combination to implement a fuzzy behavior based control architecture. It should...
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