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1 Abstract— The focus of this paper is on situational awareness of airborne agents capable of 6D motion, in particular multi-rotor UAVs. We propose the fusion of 2D laser range finder, altitude, and attitude sensor data in order to perform simultaneous localization and mapping (SLAM) indoors. In contrast to other planar 2D laser range finder based SLAM… (More)
Designing intelligent products, systems and related services require the designers to be able to integrate technology in their designs. Among other skills, programming is the key for the designers to prototype and experiment with the intelligent behaviors. However most of the design students do not have inherent affinity towards programming and electronics.… (More)
We present MITRO: Maastricht Intelligent Telepresence RObot, a custom-built robot system specifically designed for augmented telepresence with assisted control. Telepres-ence robots can be deployed in a wide range of application domains, and augmented presence with assisted control can greatly improve the experience for the user.
In this demo 1 , we show the emergence of Swarm Intelligence in physical robots. We transferred an optimization algorithm which is based on bee-foraging behavior to a robotic swarm with the advantage that this algorithm, and so the actual robots, do not require input of environmental parameters (e.g., pheromones).
In this paper we investigate coordination principles inspired by the behaviour of honeybees and ants for coordination purposes in multi-robot systems. Specifically, we study the problem instances of bee-inspired robot Foraging and ant-inspired robot Coverage, where Foraging is the problem of exploring the environment in search of food or provisions and… (More)
In this paper we summarize how the Swarmlab@Work team has won the 2013 world championship title in the RoboCup@Work league, which aims to facilitate the use of autonomous robots in industry. The various techniques that have been combined to win the competition come from different computer science domains, entailing learning, (simultaneous) localization and… (More)
We show the emergence of Swarm Intelligence in physical robots. We transfer an optimization algorithm which is based on bee-foraging behavior to a robotic swarm. In simulation this algorithm has already been shown to be more effective, scalable and adap-tive than algorithms inspired by ant foraging. In addition to this advantage, bee-inspired foraging does… (More)