ToBI - Team of Bielefeld
The Team of Bielefeld (ToBi) has been founded in 2009. The robocup activities are embedded in a long-term research history towards human-robot interaction with laypersons in regular home environments. The overall research goal is to provide a robot with capabilities that enable the interactive teaching of skills and tasks through natural communication in previously unknown environments. This work is based on the BIRON platform developed in the Applied Informatics Group within the Home Tour scenario.
The challenge is two-fold. On the one hand, we need to understand the communicative cues of humans and how they interpret robotic behavior. On the other hand, we need to provide technology that is able to perceive the environment, detect and recognize humans, navigate in changing environments, localize and manipulate objects, initiate and understand a spoken dialog. Thus, it is important to go beyond typical command-style interaction and to support mixed-initiative learning tasks.
The 2017 RoboCup team prepares for the upcoming events German Open and the World Cup in Nagoya, Japan.
Team Leader: Sven Wachsmuth, Sebastian Meyer zu Borgsen, Florian Lier
Team Members: Johannes Kummert, Dominik Sixt, Luca Michael Lach
Students: Sebastian Müller, Thilo Reinold, Micha Voße, Bjarte Feldmann, Felix Friese, Kai Konen, Sarah Schröder, Lukas Hindemith, Julian Nowainski, Fabian Kampmann, Robert Feldhans, Philipp von Neumann-Cosel, Martin Wiechmann
The 2016 RoboCup team participated at the Robocup European Open in Eindhoven placing third and at the WorldCup in Leizpig where the team won.
Team Leader: Sebastian Meyer zu Borgsen, Florian Lier, Timo Korthals, Sven Wachsmuth
Team Members: Leroy Rügemer, Nils Neumann, Johannes Kummert, Henri Neumann,
Dominik Sixt, Mirko Killmann, Philip Kenneweg, Luca Michael Lach,
Tobias Schumacher, Suchit Sharma, Julian Exner, Marvin Barther
System Description: Robocup Champion 2016-champion
The current platform is based on the research platform GuiaBot by MobileRobots customized and equipped with sensors that allow analysis of the current situation. It comprises two piggyback laptops to provide the computational power and to achieve a system running autonomously and in real-time for HRI.The robot base is a PatrolBot which is 59cm in length, 48cm in width, weighs approx. 45 kilograms with batteries. It is maneuverable with 1.7 meters per second maximum translation and 300+ degrees rotation per second. The drive is a two-wheel differential drive with two passive rear casters for balance. Inside the base there is a 180 degree laser range finder with a scanning height of ~30cm above the floor (SICK LMS, see image on the left). In contrast to most other PatrolBot bases, ToBi does not use an additional internal computer. The piggyback laptops are Core2Duo processors with 2GB main memory and are running Ubuntu Linux. The cameras that are used for person and object detection/recognition are 2MP CCD firewire cameras (Point Grey Grashopper, see iamge on the left). One is facing down for object detection/recognition, the second camera is facing up for face detection/recognition. For room classification and 3D object positions ToBi is equipped with an optical imaging system for real time 3D image data acquisition.
Additionally the robot is equipped with a Katana IPR 5 degrees-of-freedom (DOF) arm (see image, second from bottom on the right); a small and lightweight manipulator driven by 6 DC-Motors with integrated digital position encoders. The end-effector is a sensor-gripper with distance and touch sensors (6 inside, 4 outside) allowing to grasp and manipulate objects up to 400 grams throughout the arm's envelope of operation. The upper part of the robot houses a touch screen (~15in) as well as the system speaker. The on board microphone has a hyper-cardioid polar pattern and is mounted on top of the upper part of the robot. The overall height is approximately 140cm.
To extend and enhance the capabilities of ToBi, the Autonomous Mini Robot (AMiRo) is used in numerous tasks. AMiRo, was developed at the University of Bielefeld with the main objective of research and education. It consists of set of electronic modules for sensor processing, actuator control and cognitive processing that fully utilise currently available electronics technology for the construction of mini robots capable of rich autonomous behaviours. All mechanical parts for the robot are off-the-shelf components or can be fabricated with common drilling, turning and milling machines. The connection between the modules is well defined and supports standard interfaces from parallel camera capture interfaces down to simple serial interfaces. The AMiRo is a two wheeled robot with differential kinematic which physical cylindrical shape was original intended to meet the rules of the AMiRESot robot soccer league.
The RoboCup team is sponsored by the software solutions provider Itelligence AG (Bielefeld, East Westphalia), the sensor system producer SICK AG (Waldkirch, Breisgau) und the car dealer Becker-Tiemann (Bünde, East Westphalia).