Improvements for a Robust Production in the RoboCup Logistics League 2016

In 2016, the RoboCup Logistics League (RCLL) scenario has received only minor changes. The Carologistics team used this time to stabilize and improve several of its system’s components to make overall production more robust and support a more elaborated domain modeling. This has been made possible especially through our simulation environment. We describe the major aspects of our efforts that led to winning the competition for the third time in a row.

[1]  Gerhard Lakemeyer,et al.  Robust Multi-modal Detection of Industrial Signal Light Towers , 2016, RoboCup.

[2]  S. Jeschke,et al.  PROPOSAL FOR ADVANCEMENTS TO THE LLSF IN 2014 AND BEYOND , 2013 .

[3]  G. Lakemeyer,et al.  Cyber-Physical System Intelligence Knowledge-Based Mobile Robot Autonomy in an Industrial Scenario , 2017 .

[4]  Alexander Ferrein,et al.  A Lua-based Behavior Engine for Controlling the Humanoid Robot Nao , 2009, RoboCup.

[5]  G. Lakemeyer,et al.  The RoboCup Logistics League as a Benchmark for Planning in Robotics , 2015 .

[6]  Alexander Ferrein,et al.  Cyber-Physical System Intelligence , 2017 .

[7]  Alexander Ferrein,et al.  An Integration Challenge to Bridge the Gap Among Industry-Inspired RoboCup Leagues , 2016, RoboCup.

[8]  Tim Niemüller,et al.  Team Zadeat 2009 — Team Report — , 2009 .

[9]  Gerhard Lakemeyer,et al.  AllemaniACs Team Description , 2009 .

[10]  Tim Niemüller,et al.  Knowledge-Based Instrumentation and Control for Competitive Industry-Inspired Robotic Domains , 2016, KI - Künstliche Intelligenz.

[11]  Robert M. Wygant.  CLIPS - a powerful development and delivery expert system tool , 1989 .

[12]  Stefan Jacobs,et al.  Robust Collision Avoidance in Unknown Domestic Environments , 2009, RoboCup.

[13]  Alexander Ferrein,et al.  The Carologistics Approach to Cope with the Increased Complexity and New Challenges of the RoboCup Logistics League 2015 , 2015, RoboCup.

[14]  Alexander Ferrein,et al.  RoboCup Logistics League Sponsored by Festo: A Competitive Factory Automation Testbed , 2013, RoboCup.

[15]  Alexander Ferrein,et al.  Incremental Task-Level Reasoning in a Competitive Factory Automation Scenario , 2013, AAAI Spring Symposium: Designing Intelligent Robots.

[16]  Alexander Ferrein,et al.  Fawkes for the RoboCup Logistics League , 2015, RoboCup.

[17]  Alexander Ferrein,et al.  Decisive Factors for the Success of the Carologistics RoboCup Team in the RoboCup Logistics League 2014 , 2014, RoboCup.

[18]  Alexander Ferrein,et al.  International Harting Open Source Award 2016: Fawkes for the RoboCup Logistics League , 2016, RoboCup.

[19]  T. Niemueller,et al.  Planning Competition for Logistics Robots in Simulation , 2016 .

[20]  Alexander Ferrein,et al.  Lessons Learnt from Developing the Embodied AI Platform CAESAR for Domestic Service Robotics , 2013, AAAI Spring Symposium: Designing Intelligent Robots.

[21]  Gerhard Lakemeyer,et al.  Simulation for the RoboCup Logistics League with Real-World Environment Agency and Multi-level Abstraction , 2014, RoboCup.

[22]  Georgios A. Demetriou.  Mobile Robotics in Education and Research , 2011 .

[23]  E. Gat.  On Three-Layer Architectures , 1997 .

[24]  Alexander Ferrein,et al.  Design Principles of the Component-Based Robot Software Framework Fawkes , 2010, SIMPAR.

[25]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.