TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011) JF - Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011) Y1 - 2010 SP - 1 EP - 10 ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Caesar: an intelligent domestic service robot JF - Intelligent service robotics N2 - In this paper we present CAESAR, an intelligent domestic service robot. In domestic settings for service robots complex tasks have to be accomplished. Those tasks benefit from deliberation, from robust action execution and from flexible methods for human–robot interaction that account for qualitative notions used in natural language as well as human fallibility. Our robot CAESAR deploys AI techniques on several levels of its system architecture. On the low-level side, system modules for localization or navigation make, for instance, use of path-planning methods, heuristic search, and Bayesian filters. For face recognition and human–machine interaction, random trees and well-known methods from natural language processing are deployed. For deliberation, we use the robot programming and plan language READYLOG, which was developed for the high-level control of agents and robots; it allows combining programming the behaviour using planning to find a course of action. READYLOG is a variant of the robot programming language Golog. We extended READYLOG to be able to cope with qualitative notions of space frequently used by humans, such as “near” and “far”. This facilitates human–robot interaction by bridging the gap between human natural language and the numerical values needed by the robot. Further, we use READYLOG to increase the flexible interpretation of human commands with decision-theoretic planning. We give an overview of the different methods deployed in CAESAR and show the applicability of a system equipped with these AI techniques in domestic service robotics Y1 - 2012 U6 - http://dx.doi.org/10.1007/s11370-012-0118-y SN - 1861-2776 N1 - Special Issue on Artificial Intelligence Techniques for Robotics: Sensing, Representation and Action, Part I VL - 5 IS - 4 SP - 259 EP - 276 PB - Springer CY - Berlin 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) Y1 - 2011 SN - 978-3-642-25486-4 SP - 241 EP - 250 ER - TY - JOUR A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Lakemeyer, Gerhard T1 - Abstracting Away Low-Level Details in Service Robotics with Fuzzy Fluents JF - Model-Driven Knowledge Engineering for Improved Software Modularity in Robotics and Automation. Workshop at European Robotics Forum 2015 Vienna, Austria, March 11-13, 2015. Y1 - 2015 SP - 1 EP - 4 ER - TY - JOUR A1 - Schulte-Tigges, Joschua A1 - Förster, Marco A1 - Nikolovski, Gjorgji A1 - Reke, Michael A1 - Ferrein, Alexander A1 - Kaszner, Daniel A1 - Matheis, Dominik A1 - Walter, Thomas T1 - Benchmarking of various LiDAR sensors for use in self-driving vehicles in real-world environments JF - Sensors N2 - Abstract In this paper, we report on our benchmark results of the LiDAR sensors Livox Horizon, Robosense M1, Blickfeld Cube, Blickfeld Cube Range, Velodyne Velarray H800, and Innoviz Pro. The idea was to test the sensors in different typical scenarios that were defined with real-world use cases in mind, in order to find a sensor that meet the requirements of self-driving vehicles. For this, we defined static and dynamic benchmark scenarios. In the static scenarios, both LiDAR and the detection target do not move during the measurement. In dynamic scenarios, the LiDAR sensor was mounted on the vehicle which was driving toward the detection target. We tested all mentioned LiDAR sensors in both scenarios, show the results regarding the detection accuracy of the targets, and discuss their usefulness for deployment in self-driving cars. KW - Lidar KW - Benchmark KW - Self-driving Y1 - 2022 U6 - http://dx.doi.org/10.3390/s22197146 SN - 1424-8220 N1 - This article belongs to the Special Issue "Sensor Fusion for Vehicles Navigation and Robotic Systems" VL - 22 IS - 19 PB - MDPI CY - Basel ER - TY - JOUR A1 - Steinbauer, Gerald A1 - Ferrein, Alexander T1 - 20 Years of RoboCup JF - KI - Künstliche Intelligenz Y1 - 2016 U6 - http://dx.doi.org/10.1007/s13218-016-0442-z SN - 1610-1987 VL - 30 IS - 3-4 SP - 221 EP - 224 PB - Springer CY - Berlin ER - TY - CHAP A1 - Steinbauer, Gerald A1 - Ferrein, Alexander T1 - CogRob 2018 : Cognitive Robotics Workshop. Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018). Tempe, AZ, USA, October 27th, 2018. T2 - CEUR workshop proceedings Y1 - 2019 SN - 1613-0073 N1 - edited by Gerald Steinbauer, Alexander Ferrein IS - Vol-2325 ER - TY - CHAP A1 - Stopforth, Riaan A1 - Davrajh, Shaniel A1 - Ferrein, Alexander T1 - South African robotics entity for a collaboration initiative T2 - Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016 Y1 - 2017 SN - 978-1-5090-3335-5 U6 - http://dx.doi.org/10.1109/RoboMech.2016.7813144 N1 - PRASA-RobMech, Nov. 30 2016-Dec. 2 2016, Stellenbosch, South Africa SP - 1 EP - 6 PB - IEEE ER - TY - CHAP A1 - Stopforth, Riaan A1 - Davrajh, Shaniel A1 - Ferrein, Alexander T1 - Design considerations of the duo fugam dual rotor UAV T2 - 2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech) Y1 - 2017 SN - 978-1-5386-2314-5 U6 - http://dx.doi.org/10.1109/RoboMech.2017.8261115 SP - 7 EP - 13 ER - TY - CHAP A1 - Stopforth, Riaan A1 - Ferrein, Alexander A1 - Steinbauer, Gerald T1 - Europe and South African collaboration on the Mechatronics and Robotics systems as part of the SA Robotics Center T2 - ICRA 2015 Developing Countries Forum N2 - Mechatronics consist of the integration of mechanical engineering, electronic integration and computer science/ engineering. These broad fields are essential for robotic systems, yet it makes it difficult for the researchers to specialize and be experts in all these fields. Collaboration between researchers allow for the integration of experience and specialization, to allow optimized systems. Collaboration between the European countries and South Africa is critical, as each country has different resources available, which the other countries might not have. Applications with the need for approval of any restrictions, can also be obtained easier in some countries compared to others, thus preventing the delays of research. Some problems that have been experienced are discussed, with the Robotics Center of South Africa as a possible solution. Y1 - 2015 ER -