Project

SAMS

Safety component for autonomous mobile service robots

Safety component for autonomous mobile service robots

  • Duration:

The aim of the SAMS project is the development of a certifiable safety system for service robots and driverless transport vehicles, which uses a certified safety laser scanner to control a safety zone which is dynamically adapted to the vehicle's state (speed, steering, load etc).

At the heart of the project is the formal mathematical modelling and a fully formal proof of the correctness of the implementation in a theorem prover. Based on this correctness proof, and supplemented by additional testing, the principal certifiability of the component will be assessed by the TÜV (one of the main German safety certification agencies).

SAMS (Sicherheitscomponente für autonome mobile Serviceroboter: safety component for autonomous mobile service robots) is a joint project by the DFKI Lab Bremen (project lead), Leuze lumiflex, and the University of Bremen, funded by a grant from the Federal Ministery of Eduction and Research. It runs from May 1st 2006 until April 31st 2009.

Partners

Universität Bremen, Leuze lumiflex

Sponsors

BMBF - Federal Ministry of Education and Research

01IMF02A

BMBF - Federal Ministry of Education and Research

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Images

The SAMS demonstrator

Publications about the project

Stefan Mohr, Elena Vorobev, Udo Frese, Christoph Hertzberg, Christoph Lüth

In: Autonomous Robots 32 3 Pages 303-331 Springer 4/2012.

To the publication
Christoph Lüth

In: SafeComp 2010 --- 29th International Conference on Computer Safety, Reliability and Security, Proceedings. International Conference on Computer Safety, Reliability and Security (SAFEComp-2010) September 14-17 Vienna Austria Pages 347-360 Lecture Notes in Computer Science (LNCS) 6351 Springer 2010.

To the publication
Christoph Lüth

Technical Report Deutsches Forschungszentrum für Künstliche Intelligenz DFKI Research Reports (RR) 10-01 2010.

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All publications

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz