Zobrazeno 1 - 10
of 1 880
pro vyhledávání: '"Kugi, A."'
Autor:
Schmerling, Kaspar, Bešić, Hajrudin, Kugi, Andreas, Schmid, Silvan, Deutschmann-Olek, Andreas
External disturbances exciting a mechanical resonator can be exploited to gain information on the environment. Many of these interactions manifest as momentum kicks, such as the recoil of residual gas, radioactive decay, or even hypothetical interact
Externí odkaz:
http://arxiv.org/abs/2411.02215
Autor:
Dago, Salambô, Rieser, Jakob, Ciampini, Mario A., Mlynář, Vojtech, Kugi, Andreas, Aspelmeyer, Markus, Deutshmann-Olek, Andreas, Kiesel, Nikolai
We demonstrate the stable trapping of a levitated nanoparticle on top of an inverted potential using a combination of optical readout and electrostatic control. The feedback levitation on an inverted potential (FLIP) method stabilizes the particle at
Externí odkaz:
http://arxiv.org/abs/2410.17253
Publikováno v:
IET Control Theory & Applications 2024
This survey provides an overview of combining Federated Learning (FL) and control to enhance adaptability, scalability, generalization, and privacy in (nonlinear) control applications. Traditional control methods rely on controller design models, but
Externí odkaz:
http://arxiv.org/abs/2407.11069
Combining a vision module inside a closed-loop control system for a \emph{seamless movement} of a robot in a manipulation task is challenging due to the inconsistent update rates between utilized modules. This task is even more difficult in a dynamic
Externí odkaz:
http://arxiv.org/abs/2406.09039
Publikováno v:
Proceedings of the VDI Mechatroniktagung 2024, pp 65-72
This work develops a novel trajectory planner for human-robot handovers. The handover requirements can naturally be handled by a path-following-based model predictive controller, where the path progress serves as a progress measure of the handover. M
Externí odkaz:
http://arxiv.org/abs/2404.07505
Model Predictive Trajectory Optimization With Dynamically Changing Waypoints for Serial Manipulators
Systematically including dynamically changing waypoints as desired discrete actions, for instance, resulting from superordinate task planning, has been challenging for online model predictive trajectory optimization with short planning horizons. This
Externí odkaz:
http://arxiv.org/abs/2402.04730
This work presents a novel online model-predictive trajectory planner for robotic manipulators called BoundMPC. This planner allows the collision-free following of Cartesian reference paths in the end-effector's position and orientation, including vi
Externí odkaz:
http://arxiv.org/abs/2401.05057
Autor:
Ebmer, Gerald, Loch, Adam, Vu, Minh Nhat, Haessig, Germain, Mecca, Roberto, Vincze, Markus, Hartl-Nesic, Christian, Kugi, Andreas
Real-time applications for autonomous operations depend largely on fast and robust vision-based localization systems. Since image processing tasks require processing large amounts of data, the computational resources often limit the performance of ot
Externí odkaz:
http://arxiv.org/abs/2310.16618
Autor:
Vuong, An Dinh, Vu, Minh Nhat, Le, Hieu, Huang, Baoru, Huynh, Binh, Vo, Thieu, Kugi, Andreas, Nguyen, Anh
Foundation models such as ChatGPT have made significant strides in robotic tasks due to their universal representation of real-world domains. In this paper, we leverage foundation models to tackle grasp detection, a persistent challenge in robotics w
Externí odkaz:
http://arxiv.org/abs/2309.09818
Actively Q-switched lasers are widely used tools which are required to produce stable output pulse energies for many applications. In this paper, a model-based control concept for actively Q-switched lasers is presented which stabilises their nonline
Externí odkaz:
http://arxiv.org/abs/2304.07075