TY  - CHAP
A1  - Reke, Michael
A1  - Peter, Daniel
A1  - Schulte-Tigges, Joschua
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Walter, Thomas
A1  - Matheis, Dominik
T1  - A Self-Driving Car Architecture in ROS2
T2  - 2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa
N2  - In this paper we report on an architecture for a self-driving car that is based on ROS2. Self-driving cars have to take decisions based on their sensory input in real-time, providing high reliability with a strong demand in functional safety. In principle, self-driving cars are robots. However, typical robot software, in general, and the previous version of the Robot Operating System (ROS), in particular, does not always meet these requirements. With the successor ROS2 the situation has changed and it might be considered as a solution for automated and autonomous driving. Existing robotic software based on ROS was not ready for safety critical applications like self-driving cars. We propose an architecture for using ROS2 for a self-driving car that enables safe and reliable real-time behaviour, but keeping the advantages of ROS such as a distributed architecture and standardised message types. First experiments with an automated real passenger car at lower and higher speed-levels show that our approach seems feasible for autonomous driving under the necessary real-time conditions.
Y1  - 2020
SN  - 978-1-7281-4162-6
U6  - https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041020
N1  - 2020 International SAUPEC/RobMech/PRASA Conference, 29-31 Jan. 2020, Cape Town, South Africa
SP  - 1
EP  - 6
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Fuzzy representations and control for domestic service robots in Golog
T2  - Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)
N2  - In the RoboCup@Home domestic service robot competition, complex tasks such as "get the cup from the kitchen and bring it to the living room" or "find me this and that object in the apartment" have to be accomplished. At these competitions the robots may only be instructed by natural language. As humans use qualitative concepts such as "near" or "far", the robot needs to cope with them, too. For our domestic robot, we use the robot programming and plan language Readylog, our variant of Golog. In previous work we extended the action language Golog, which was developed for the high-level control of agents and robots, with fuzzy concepts and showed how to embed fuzzy controllers in Golog. In this paper, we demonstrate how these notions can be fruitfully applied to two domestic service robotic scenarios. In the first application, we demonstrate how qualitative fluents based on a fuzzy set semantics can be deployed. In the second program, we show an example of a fuzzy controller for a follow-a-person task.
Y1  - 2011
SN  - 978-3-642-25486-4
U6  - https://doi.org/10.1007/978-3-642-25489-5_24
SP  - 241
EP  - 250
PB  - ACM
CY  - New York
ER  -