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 273 Results
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.
State_and_Measurement_Data.tab
Mar 12, 2026 - Visualization of Possibilistic Filtering for Reliable Robot Localization
Tabular Data - 95.6 KB - 11 Variables, 579 Observations - UNF:6:Mo5+xjoqon3ZpoGoKUo/Eg==
The measurement data from the experiment shown in the video is provided. In the experiment, the HERA robot is driven through an environment while its true position, given as x, y, z, is recorded as ground-truth reference. The robot is controlled using velocity commands v_x, v_y, and v_theta, and measures its orientation relative to four landmarks d...
Delta_pickandplace.mp4
Feb 27, 2026 - Experimental Video of Industrial Pick-and-Place Delta Robot used for Sparse Identification of Residual Dynamics
MPEG-4 Video - 968.3 KB - MD5: 7b50ab46650803a1a7e9900dba60127f
The video showcases the robot performing a typical pick-and-place motion without payload. In the associated paper, we applied a SINDy-like method to perform sparse regression on the residual dynamics and friction of the robot. The approach uses a nominal model and measurement data collected from the robot to identify unaccounted dynamics, enhancing...
Figure_4_11_Cartesian_mixedexponents.mp4
Feb 4, 2026 - Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control
MPEG-4 Video - 4.1 MB - MD5: 28192c1e0ad176b936f02864b9d3b85d
Figure_4_11_polar_mixedexponents.mp4
Feb 4, 2026 - Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control
MPEG-4 Video - 4.8 MB - MD5: 80a31d6010f8fb6357dcf6c3e6752a57
Figure_4_11_polar_quadratic.mp4
Feb 4, 2026 - Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control
MPEG-4 Video - 5.0 MB - MD5: 923527ae3ef842fdd89cb955ada227a5
Figure_4_4_diffdrive_mixedexponents.mp4
Feb 4, 2026 - Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control
MPEG-4 Video - 3.6 MB - MD5: 5ad1b93d4a1eb43f29b870b5c5bab236
Figure_4_4_diffdrive_quadratic.mp4
Feb 4, 2026 - Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control
MPEG-4 Video - 3.4 MB - MD5: c04ae9f5055e64f837508f98cc7c6116
Figure_4_6_trailer_mixedexponents.mp4
Feb 4, 2026 - Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control
MPEG-4 Video - 7.8 MB - MD5: ae0c888d2e626dbc5e75c25b046095b1
Figure_4_6_trailer_quadratic.mp4
Feb 4, 2026 - Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control
MPEG-4 Video - 7.5 MB - MD5: 7b68e4715793ee730c7d8eba1695067c
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