Overview
Robots are being increasingly deployed outside strictly controlled environments. When faced with unexpected situations, these robots are often incapable of taking appropriate action and require human intervention. The goal of CONVINCE is to advance the capabilities of robots to perform complex tasks robustly and safely within unstructured environments via autonomous and unsupervised adaptation to the environment and operational context.
The key contribution is to develop cognitive deliberation capabilities that ensure safe robot operation over extended periods of time without human intervention. These capabilities will be integrated into a model-driven software toolchain to allow developers to build application-specific deliberation systems.
CONVINCE will demonstrate the technology developed in the project on three different real-world use cases, in different application domains: vacuum cleaner robot, assembly robot, and robotic museum guide.
Objectives
- Develop a safe adaptive, cognitive deliberation system capable of detecting unexpected situations and provide contingency plans to handle them
- Develop formal tools that ensure correct execution of behaviors and contingency plans instantiated by the cognitive deliberation system both at design time and run time
- Integrate the tools developed in the project in an open-source software toolchain for behavior developers