The Institute of Engineering and Computational Mechanics focuses on questions relating to Technical Dynamics. This is the guideline for many research projects and courses. The research work of the institute is dedicated to technical dynamics in the broadest sense. In the course of time, changing focal points have developed. The research areas include multibody systems, contact mechanics, mechatronics, driving safety and uncertainties.
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121 to 130 of 282 Results
Y2.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 139.9 KB - MD5: 1e0f2122382ce8ad25962c67331a6c95
Y2.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 89.1 KB - MD5: 95a6f0bc201b84526c0ee2b5c4dc5af1
Y2.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 9.6 KB - MD5: f581f60434058a1853adc31770ebab8f
Y3.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 9.6 KB - MD5: d26ef5a759d6be1e388d42d52b5e7abb
Y3.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 119.0 KB - MD5: d13976d5669fceb6912ac8fb9348f978
Y3.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 179.3 KB - MD5: 80a675aa4c679642266d40692e8d6403
Y3.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 9.6 KB - MD5: 6dd937b19e816f82de311dfc020cd7ce
Y.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 1.4 MB - MD5: a89b95fd221f970664b43edf0d7490df
Y.txt
Mar 20, 2026 - Differential-Drive Robot Data Sets and Reference Trajectories for EDMD
Plain Text - 2.2 MB - MD5: a8d36c087b57bcc7d6d85f78a261e4cb
Possibilistic_Particle_Filter_Robot_Localization.mp4
Mar 12, 2026 - Visualization of Possibilistic Filtering for Reliable Robot Localization
MPEG-4 Video - 47.1 MB - MD5: 23bd2667a25bd69456b3268e25017864
Experimental results of the proposed robot localization problem. The true state is shown in blue, while the possibilistic estimates are represented as particles, with their corresponding membership values indicated by a heatmap.
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