International audience

Automated functions for real scenarios have been increasing in last years in the automotive industry. Many research contributions have been done in this field. However, other problems have come to the drivers: When should they (the drivers or the new automated systems) be able to take control of the vehicle? This question has not a simple answer; it depends on different conditions, such as: the environment, driver condition, vehicle capabilities, fault tolerance, among others. For this reason, in this work we will analyze the acceptability to the ADAS functions available in the market, and its relation with the different control actions. In this paper a survey on arbitration and control solutions in ADAS is presented. It will allow to create the basis for future development of a generic ADAS control (the lateral and longitudinal behavior), based on the integration of the application request, the driver behavior and driving conditions in the framework of the DESERVE project (DEvelopment platform for Safe and Efficient dRiVE1, a ARTEMIS project 2012–2105). The main aim of this work is to allow the development of a new generation of ADAS solutions where the control could be effectively shared between the vehicle and the driver. Different solutions of shared control have been analyzed. A first approach is proposed, based on the presented solutions.

In this paper, we present a mobile robot with an arm and a gripper, which can generate its own scenarios before executing them. Hand-written scenarios, as we previously did, are not applicable any longer, since a wider range of scenarios is aimed at, which cannot be predicted in advance. Our approach involves task planning, for scenario generation, and finite state automation, for scenario execution. Our robot is used for servicing handicapped or ageing persons in their apartment.

We present a multi agent architecture for controlling a mobile robot in an unpredictable environment. This architecture has been developed with the objective of coordinating the various competences of the robot (e.g., perception, navigation, planning). The architecture is made up of two agents: the first one specialized for cognitive tasks, the second one dedicated to control of the robot's physical devices. This two agent architecture guarantees a good robustness of the system, as the navigation modules can run independently of the cognitive ones.

A good software architecture facilitates application system development, promotes achievement of functional requirements, and supports system reconfiguration. We present a domain-specific software architecture (DSSA) that we have developed for a large application domain of adaptive intelligent systems (AISs). The DSSA provides: (a) an AIS reference architecture designed to meet the functional requirements shared by applications in this domain, (b) principles for decomposing expertise into highly reusable components, and (c) an application configuration method for selecting relevant components from a library and automatically configuring instances of those components in an instance of the architecture. The AIS reference architecture incorporates features of layered, pipe and filter, and blackboard style architectures. We describe three studies demonstrating the utility of our architecture in the subdomain of mobile office robots and identify software engineering principles embodied in the architecture.>