The Knowledge-Based Systems Group is, amongst others, doing research in task-level reasoning and agent controllers for mobile robots like in the RoboCup Logistics League (RCLL) as part of the Carologistics RoboCup Team.
Developing agents for such robotic tasks poses diverse problems to solve: acting rationally under hard real-time constraints, agent-to-agent communication, multi-robot cooperation, and task-level reasoning.
The scenario for the lab course will be the RoboCup Logistics League (RCLL). In this scenario (top picture), two competing groups of three robots each must complete dynamic production chains according to orders which are posted throughout the game period of 15 minutes. We have developed a simulation of the LLSF (lower picture) that allows to quickly run the game and test without long setup times of real robots. If the resulting components run stable in simulation, there is an option to transfer the results to real robots towards the end of the lab course.
The goal of this lab course is to design and develop a high-level control program (agent program) that drive one group of these robots to run the production based on OpenPRS, a Procedural Reasoning System. This system is based on the belief-desire-intention (BDI) framework. The system will be implemented using the Fawkes robot software framework. All basic components (self-localization, locomotion, perception) will be provided. The simulation will allow to focus on the high-level system.
During the course, you will learn to gather the required data from the system, write and adapt skills written using the Lua-based Behavior Engine, and create a high-level control program to implement the game strategy.. Towards the end of the course, we want to have a little competition, where the agents of the groups compete among each other, and with the existing CLIPS-based agent system.
More information is on the lab coordination website.
In this lab course you have the chance to
- learn about robot software development
- develop an intelligent control program
- apply methods of AI to robotic scenarios
Requirements
- basic study period completed (Bachelor/Vordiplom)
- lecture “Artificial Intelligence” from our department (or objective evidence of equivalent knowledge)
- programming skills (mostly C++)
- interest in logic-based programming
- high motivation
- Linux skills beneficial
Registration
Slots are being centrally assigned. Registration will open from June 4th July to 20th through the Central Seminar and Practical Project Seminar (Praktikum) Registration System.
An announcement of the course can eventually be found in the course information system CAMPUS.
Outline
The rough outline of the lab course’s schedule is as follows:
- getting to know our software framework (Fawkes)
- work in groups (3 students each)
- concept + design
- implementation
- integration
- evaluation
The date and time for the introductory meeting will be determined after the registration.