For implementing efficient cooperative behaviour strategies of a group of robots an appropriate communication system is needed. Depending on the robot’s task different communication techniques may be used. We have analyzed an ultrasonic detection and communication system, a communication technique that uses infrared transmitters and receivers and a radio based system using Bluetooth technology....

In this paper we investigate real-time adaptive extensions of our fuzzy logic based approach for providing biologically based motivations to be used in evolutionary mobile robot learning. The main idea is to introduce active battery level sensors and recharge zones to improve robot behavior for reaching survivability in environment exploration. In order to achieve this goal, we propose an impro...

In the Neuro-robotics Lab of the Centre for Hybrid Intelligent Systems we have organised various challenging undergraduate student projects using Mindstorm, Khepera and PeopleBot robots. In this paper we will describe a particularly interesting undergraduate student project involving the introduction of intelligent behaviour onto a mini-robot platform. In the past robots were mainly hardcoded t...

A method for evolving behavior-based robot controllers using genetic programming is presented. Due to their hierarchical nature, genetic programs are useful representing high-level knowledge for robot controllers. One drawback is the difficulty of incorporating sensory inputs. To overcome the gap between symbolic representation and direct sensor values, the elements of the function set in genet...

This work presents the application of a new hybrid neuro-fuzzy model, called RL-HNFP (Reinforcement Learning – Neuro Fuzzy Hierarchical Politree), in automatic learning of autonomous robots. This model provides an agent with intelligence, making it capable, by interacting with its environment, to acquire and retain knowledge for reasoning (infer an action). Promising results have already been o...

|Behavior-based approach has been successfully applied to design the control system of a robot. This paper presents our approach, based on evolutionary algorithms , to program behavior-based robots automatically. Instead of handcoding all the behavior controllers or evolving an entire control system for an overall task, we suggest our approach at the intermediate level: it includes evolving beh...

This paper describes a new approach for promoting the evolution of relatively complex behaviours in evolutionary robotics, based on the use of noise in simulation. A `homing navigation' behaviour is evolved (in simulation) for the Khepera mobile robot, and it is shown that high noise levels in the simulation promote the evolution of relatively complex behavioural and neural dynamics. It is also...

This paper presents a predictive model of sensor readings for mobile robot. The model predicts sensor readings for given time horizon based on current sensor readings and velocities of wheels assumed for this horizon. Similar models for such anticipation have been proposed in the literature. The novelty of the model presented in the paper comes from the fact that its structure takes into accoun...

In applications such as vacuum cleaning, painting, demining and foraging, a mobile robot must cover an unknown surface. The efficiency and completeness of coverage is improved via the construction of a map of covered regions while the robot covers the surface. Existing methods generally use grid maps, which are susceptible to odometry error and may require considerable memory and computation. T...