D. Novischi

• Universitatea Națională de Știință și Tehnologie Politehnica București

In this paper we present the Ant Intelligent Robot (AIR), a miniature mobile platform designed for swarm robotic research and education. The proposed system has a modular and distributed architecture that provides the necessary versatility, robustness and user accessibility to enable the study of a broad range of applications, while achieving a low...

In this paper we present a robot platform and a robot agent architecture for a real-time heterogeneous mobile robotic swarm. The robot platform is a modularized distributed architecture structured along three conceptual layers: sensor, actuation and the main unit. Each module is mechanically and electronically independent. The agent architecture ha...

In this paper we present a suite of algorithms for determining the possible trajectories of an autonomous robot while navigating through obstacles. For this, we first identify the obstacle orientation and then determine the distance between each two obstacles and compare it with the robot width. The results of these algorithms are intended to be us...

This paper presents an algorithm for real-time vision based autonomous navigation for mobile ground robots in an unstructured static environment. The obstacle detection is based on Canny edge detection and a suite of algorithms for extracting the location of all obstacles in robot's current view. In order to avoid obstacles we designed a reasoning...

This paper presents a comparison of performance for the vision sensors and processing power of two, widely used, robotic systems: NXT Mindstorms and SRV-1 Blackfin. The performance analysis was done in relation to an obstacle avoidance algorithm implemented on both platforms. Three case studies were performed: in the first case study we analyzed th...