Autonomous Mobile Robots

cs::APEX - A framework for visual programming and data flow driven design that allows users to quickly prototype new algorithms by connecting inputs and outputs of computation nodes at run time. It currently is mainly used to prototype robot vision algorithms. (S. Buck, R. Hanten, A. Zwiener)

DLR SpaceBot Cup 2015 - This year we are one of the 10 German universities that participate in the competition organized by the German Space Agency (DLR), namely the DLR SpaceBot Cup 2015. The theme of the competition is space exploration, for which the robots will have to explore a simulated planet surface. (G. Huskić, S. Buck, G. Rauscher, A. Zwiener, R. Hanten)

GeRoNa (Generic Robot Navigation) - A modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models. (S. Buck, G. Huskić)

3D Mapping using NDT - Research on robust and real-time capable mapping of multi-dimensional data, combining NDT and occupancy probabilities. (C. Schulz, R. Hanten)

Mobil Assist - Based on the electric wheeled walker beActive+e an intelligent wheeled walker is developed. It can support the users by avoiding obstacles, perform local and global navigation and predicting path traversability. (J. Jordan)

Mobile Manipulation - Research on save autonomous picking and placing of objects. Safety shall be enforced through tactile feedback by using joint torque sensing. (A. Zwiener)

MuSe-SMC - Research on Sequential Monte Carlo methods for state estimation and tracking. Currently 2D localization is supported. (R. Hanten, C. Schulz)

Control of Outdoor Robots - Research on a quickly moving outdoor robot, which should be able to follow a fast moving person, while driving on an uneven terrain and avoiding both static and dynamic obstacles on the way. (G. Huskić)

PATSY - (Person-recognizing Autonomous Transportation SYstem). Together with E&K Automation GmbH, Reutlingen, we develop the prototype of a transport system for medical containers in hospitals, which can recognize persons and other static and dynamic obstacles and plan/replan its route accordingly. (S. Buck, G. Rauscher, R. Hanten)

3D Person Detection - Research on robust and real-time capable person detection based on 3D data segmentation and visual feature classification. (R. Hanten, S. Buck, P. Kuhlmann, S. Otte)

QuadrotorMPC - Compared to the classical control methods widely deployed on micro aerial vehicles, such as PID controllers, a series of advanced alternatives have recently been developed and applied to MAVs. In our lab, we implement one of the optimal control methods, model predictive control, on our quadrotor flying robots. (Y. Liu)

Dense Stereo Vision SLAM for MAVs - In this project we use a quadrocopter equipped with a stereo vision camera. We introduce a new dense stereo algorithm to estimate the depth maps and use the depth maps in a visual SLAM system. (R. Ait-Jellal)

Table Tennis Robot - A KUKA Agilus robot is used to play table tennis. The system includes ball trajectory and spin detection, prediction of the hitting point and robot stroke motion. (J. Tebbe, Y. Gao)

Object-based Semantic SLAM for UAVs - Research on object-based semantic simultaneous localization and mapping for flying robots. (Y. Wang)

Head measurements with RGBD cameras to modify the Head Related Transfer Function - Research on the estimation of head feature points and measurements on 3D point clouds. (I. Patiño)

Machine Learning, Artificial Neural Networks and Kernel Methods

The TCML cluster - The Training Center for Machine Learning (TCML) is a BMBF funded project which consists of a large GPU cluster. (M. Mutschler)

Inverse Kinematics with Recurrent Neural Networks - This project investigates inverse recurrent forward models for many-joint robot arm control. (S. Otte, A. Zwiener, R. Hanten)

Person Detection using weakly supervised localization - This project deals with detection of people in thermal images (Infrared) using Deep Convolutional Neural Networks (CNNs) (H. Riaz)