IKI Research Projects
In new situations this robot called Kurt should approach human in order to ask for solution. After teaching the robot an approach which is new to it, the robot should be able to solve this kind of problem independently.
It is about the development of an intelligent walking frame particularly used in residential long-term medical care in order to reduce the work load of the nursing staff as well as allowing a more self-determined life in residential care homes for the elderly.
For the lecture “Data Security” by Prof. Ertel an Enigma, a historical cipher machine, is being reconstructed. The intention of this project is to illustrate the students a vivid example how the race between encryption and cracking the secret works.
The ergonomically correct execution of care measures is highly relevant in order to provide an ideal patient centered care and to avoid secondary health damage of the nursing staff.
The joint research project Smart3D with the IFM group is developing innovative AI-based sensor fusion and object classification.
Student project teams participate in national and international contests within the framework of the project “RoboCup@Home - interdisciplinary student project teams develop autonomous service robots” by the Faculty for Electrical Engineering and Computer Science.
Our current service robot Marvin has been developed within the context of the AsRoBe project (Assistant Robot for People with Physical Disabilities).
Against the background of demographic change research is taking place if mobile service robots for people with physical disabilities can be a help.
Festo Learning Gripper
Festo Learning Gripper successfully on Hanover Fair
On behalf of the company Festo the so called Learning Gripper was developed by KIDS. It is a robot gripper with four fingers which learns independently to rotate a ball in raised position in any given orientation.
ZAFH -Service Robotics
The ZAFH Autonomous Mobile Service Robot is a project for developing intelligent mobile service robots which is ran by the collaboration with the University of Applied Sciences of Ravensburg-Weingarten, Ulm and Mannheim and promoted by the state of Baden-Württemberg.
The University of Applied Sciences of Ravensburg-Weingarten participates with two out of five work groups.
Learning by Reinforcement – Crawling Robot
The robot developments of Prof. Ertel at the Institute for Artificial Intelligence at the University of Applied Sciences of Ravensburg-Weingarten are called “Krabbler” (crawler) and “Spinne” (spider). They function on the principle of try out and optimize their features step by step in such a way that they even learn elusive movement patterns.
LEXMED – Computer-Assisted Diagnosis of Appendicitis
LEXMED developed under the guidance of Prof. Ertel at the University of Applied Sciences of Ravensburg-Weingarten is a medical diagnostic system which is capable of learning. It is easy to handle and provides the doctor on the basis of the patient’s symptoms a well-founded diagnoses for the existence of appendicitis.