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The topic of reusable software in robotics is now largely addressed. Components based architectures, where components are independent units that can be reused accross applications, have become more popular. As a consequence, a long list of middlewares and integration tools is available in the community, often in the form of open-source projects. However, these projects are generally self contained with little reuse between them. This paper presents a software engineering approach that intends to grant middleware independance to robotic software components so that a clear separation of concerns is achieved between highly reusable algorithmic parts and integration frameworks. Such a decoupling let middle-wares be used interchangeably, while fully benefitting from their specific, individual features. This work has been integrated into a new version of the open-source GenoM component generator tool: GenoM3

Rackham is an interactive robot-guide that has been used in several places and exhibitions. This paper presents its design and reports on results that have been obtained after its deployment in a permanent exhibition. The project is conducted so as to incrementally enhance the robot functional and decisional capabilities based on the observation of the interaction between the public and the robot. Besides robustness and efficiency in the robot navigation abilities in a dynamic environment, our focus was to develop and test a methodology to integrate human-robot interaction abilities in a systematic way. We first present the robot and some of its key design issues. Then, we discuss a number of lessons that we have drawn from its use in interaction with the public and how that will serve to refine our design choices and to enhance robot efficiency and acceptability

The authors previously (1998) argued that the LAAS architecture is one of the most suitable for mobile robot control. This statement may seem over-optimistic, not to say pretentious and unverifiable. After all, can we compare architectures? can we set up benchmarks? or can we measure how good an architecture is compared to another? An architecture defines organization principles, integration methods and supporting tools. Comparing those tools, methods and principles may sometime end up in sterile controversies. However, we think there are means to measure the overall quality (or interest) of an architecture. Development time is for example one relevant criterion. Basically, using a specific architecture, how long does it take to integrate a complete demonstration, including nontrivial decisional capabilities, from the low level functional modules up to the supervisory level? This may seem a rather weak measure of architecture quality; however, it encompasses properties such as genericity and adaptability, ease of design and programming, extensibility and robustness. In this paper we describe our recent experience in integrating a complete demonstration from scratch in 40 days using the LAAS architecture.

Presents our project to develop a personal robot called Diligent. We first discuss the main issues involved in personal robotics. Then we analyze some of the key features implied by what we call "human-friendly navigation". Finally, we present the current state of Diligent. Diligent is already able to navigate safely and repeatedly in a relatively large environment. It is also capable of some preliminary human-robot interactions through very simple and intuitive commands.

We present and discuss the use of a generic scheme for multi-robot cooperation called the "plan-merging paradigm" for managing a large fleet of autonomous mobile robots. Each robot, autonomously and incrementally builds and executes its own plans taking into account the multi-robot context obtained by collecting the current plans and goals of the other robots. We describe the overall system architecture and discuss the properties of our cooperative scheme. We show how the plan-merging paradigm (PMP) can be used in a hierarchical manner and how it "fills the gap" between centralized planning and distributed execution. We finally illustrate this scheme through an implemented system which allows a fleet of autonomous mobile robots to perform load transfer tasks in a route network environment. The central activity is limited to task allocation and important gains are obtained in system flexibility and robustness to execution contingencies. Simulations (using up to 30 robots) as well as experiments with real robots (3) are presented and discussed.

This paper presents a general methodology for the specification and the integration of functional modules in a distributed reactive robot architecture. The approach is based on a hybrid architecture basically composed of two levels: a lower distributed functional level controlled by a centralized decisional level. Due to this methodology, synchronous or asynchronous operating capabilities (servo-control, data processing, event monitoring) can be easily added to the functional level. They are encapsulated into modules, built according to a generic model, that are seen by the decisional level as homogeneous, programmable, reactive and robust communicant services. Each module is simply described with a specific language and is automatically produced by a generator of modules (G/sup en/oM) according to the generic model. G/sup en/oM also produces an interactive test program and interface libraries to control the module and to read the resulting data, which allow one to directly integrate the module into the architecture.

This paper presents an implemented system which allows one to run a fleet of autonomous mobile robots in a route network with a very limited centralized activity. The robots are provided with all the necessary ingredients for planning and executing navigation missions in a multi-robot context. Multi-robot cooperation is based on a generic paradigm called plan-merging paradigm, where robots incrementally merge their plans into a set of already coordinated plans. The robot architecture is derived from the generic architecture developed at LAAS. A 3D graphic environment system allows one to display a complete system composed of a dozen (or more) robots, each running on an independent workstation. An example is presented together with numerical results on the system behavior.

This paper proposes a formalism for the description and automated implementation of the functional modules of an autonomous mobile robot in the framework of multi-layered control architectures. The formalization of the description of a module, including its behavior and its interfaces with other modules makes the implementation easier by providing higher level tools and automatic consistence checking tools in the module compiler. The execution control level can take advantage of the formal description of the activity tree of the modules to manage the resources more efficiently. A global task of the robot is achieved by the control system by connecting the modules into a dynamic activity tree. Finally the authors present a modules compiler that uses the formal module description and user supplied functions to produce the modules in an automated way.>

This paper presents the approach, algorithms and processes we developed to perform cross-country autonomous navigation. After a presentation of the teleprogramming context, we introduce an adaptive navigation approach, well suited for the characteristics of complex natural environments. The main perception, motion planning and decisional processes required by the robot during navigation are briefly presented. An on board control architecture that manages all these processes is then described, and first results of an experiment currently developed at LAAS are discussed.>