Mobile robots are nowadays capable of navigating in a semi-structured environment, either alone or in formations. Dealing with mobile obstacles, e.g. persons, in everyday environments poses additional challenges which are being addressed by the research community. This paper presents an experiment with a set of robots -acting as a swarm- and one person. The aim of such robot-human squad is to explore an unmapped area indoors. The swarm is programmed such that obstacle avoidance, robot avoidance and human avoidance is combined with staying in the vicinity of the human and gradually proceeding towards the end point. The robots are provided with enough sensors to perform avoidance, and determine/estimate the distance to the human. Communication is one-way only, from robots to human. The aim of the experiment is to provide insights about the real problems of the multirobot system when dealing with a non-expert person in a cooperative exploration task.

This paper describes how the use of panoramic cameras can dramatically simplify safety issues for a robot arm moving in close proximity to human beings, since they can simultaneously observe a 360° field of view. We present in this context an approach to visual servoing in which both the manipulator as well as any other moving object are tracked. Reliability and robustness are enhanced by adaptative background modelling and global illumination change detection.

A practical solution based on multi-agent protocols for the development of real-world multi-robot applications is presented. FIPA standard protocols implemented by the JADE library provide the standard functionality for a number of tasks. Robot behaviors are built upon the player middleware. Such components provide off-the-shelf tools which allow a straightforward implementation of indoor localization and navigation tasks for a team of mobile robots. Such integration combines proven mobile robot algorithms with a distributed infrastructure, and extends the capabilities from a robot alone to a whole team of robots, thus allowing the development of cooperative applications. As a proof of concept, an auction-like goal assignment task is presented: the robot team is given a goal, and each robot proposes an estimated cost for achieving it, then the best proposal is selected. Most of the control flow is automated by the standard interaction protocols. Experimental evaluation demonstrates the advantages of combining both frameworks, for a practical yet sound development of multi-robot applications.