Zobrazeno 1 - 10
of 743
pro vyhledávání: '"EBERHARD, Peter"'
Autor:
de Payrebrune, Kristin M., Flaßkamp, Kathrin, Ströhla, Tom, Sattel, Thomas, Bestle, Dieter, Röder, Benedict, Eberhard, Peter, Peitz, Sebastian, Stoffel, Marcus, Rutwik, Gulakala, Aditya, Borse, Wohlleben, Meike, Sextro, Walter, Raff, Maximilian, Remy, C. David, Yadav, Manish, Stender, Merten, van Delden, Jan, Lüddecke, Timo, Langer, Sabine C., Schultz, Julius, Blech, Christopher
Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The development of mechatronic systems is undergoing a similar transformation
Externí odkaz:
http://arxiv.org/abs/2412.12230
Autor:
Rosenfelder, Mario, Carius, Hendrik, Herrmann-Wicklmayr, Markus, Eberhard, Peter, Flaßkamp, Kathrin, Ebel, Henrik
In real-world applications of mobile robots, collision avoidance is of critical importance. Typically, global motion planning in constrained environments is addressed through high-level control schemes. However, additionally integrating local collisi
Externí odkaz:
http://arxiv.org/abs/2412.11552
Autor:
Rosenfelder, Mario, Bold, Lea, Eschmann, Hannes, Eberhard, Peter, Worthmann, Karl, Ebel, Henrik
Advances in machine learning and the growing trend towards effortless data generation in real-world systems has led to an increasing interest for data-inferred models and data-based control in robotics. It seems appealing to govern robots solely base
Externí odkaz:
http://arxiv.org/abs/2411.07192
Autor:
Ebel, Henrik, van Delden, Jan, Lüddecke, Timo, Borse, Aditya, Gulakala, Rutwik, Stoffel, Marcus, Yadav, Manish, Stender, Merten, Schindler, Leon, de Payrebrune, Kristin Miriam, Raff, Maximilian, Remy, C. David, Röder, Benedict, Raj, Rohit, Rentschler, Tobias, Tismer, Alexander, Riedelbauch, Stefan, Eberhard, Peter
Data-based methods have gained increasing importance in engineering, especially but not only driven by successes with deep artificial neural networks. Success stories are prevalent, e.g., in areas such as data-driven modeling, control and automation,
Externí odkaz:
http://arxiv.org/abs/2410.18358
Distributed model predictive control (DMPC) is a flexible and scalable feedback control method applicable to a wide range of systems. While the stability analysis of DMPC is quite well understood, there exist only limited implementation results for r
Externí odkaz:
http://arxiv.org/abs/2301.07960
Planning a time-optimal trajectory for aerial robots is critical in many drone applications, such as rescue missions and package delivery, which have been widely researched in recent years. However, it still involves several challenges, particularly
Externí odkaz:
http://arxiv.org/abs/2209.00533
Non-holonomic vehicles are of immense practical value and increasingly subject to automation. However, controlling them accurately, e.g., when parking, is known to be challenging for automatic control methods, including model predictive control (MPC)
Externí odkaz:
http://arxiv.org/abs/2205.11400
Autor:
Hartlieb, Eva, Ziegler, Pascal, Baumann, Andreas, Schöler, Peter, Eberhard, Peter, Velte, Stefan, Wiesend, Manuela, Karl, Daniela
Publikováno v:
In Journal of Cultural Heritage November-December 2024 70:441-449
Cooperative object transportation with differential-drive mobile robots: Control and experimentation
Publikováno v:
In Robotics and Autonomous Systems March 2024 173