2021 // conference-paper
Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators
Midwest Symposium on Circuits and Systems
Wohrle, H.; De Lucas Alvarez, M.; Schlenke, F.; Walsemann, A.; Karagounis, M.; Kirchner, F.
DOI: 10.1109/MWSCAS47672.2021.9531708
Dec 2020 // journal-article
AI-perspectives: the Turing option
AI Perspectives
Frank Kirchner
Apr 2020 // journal-article
An Analytical and Modular Software Workbench for Solving Kinematics and Dynamics of Series-Parallel Hybrid Robots
Journal of Mechanisms and Robotics
Shivesh Kumar; Kai Alexander von Szadkowski; Andreas Mueller; Frank Kirchner
2020 // journal-article
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?
ArXiv
Rosynski, Matthias; Kirchner, Frank; Valdenegro-Toro, Matias
DOI:
2020 // journal-article
Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms
ArXiv
von Oehsen, Tim; Fabisch, Alexander; Kumar, Shivesh; Kirchner, Frank
DOI:
2020 // journal-article
AI Technology for Underwater Robots Preface
Ai Technology for Underwater Robots
Kirchner, Frank
DOI:
2020 // conference-paper
Unsupervised learning based degradation estimation and abnormal working condition detection for a class of anthropomorphic robotic hand
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
Cortes Mac-Evoy, C.F.; Garay, J.M.; Kirchner, F.
DOI: 10.36001/phmconf.2020.v12i1.1169
2020 // book-chapter
Robotics and AI: How Technology May Change the Way We Shape Our Bodies and What This Does to the Mind
21st Century Sports
Frank Kirchner
2020 // book-chapter
Machine Learning and Dynamic Whole Body Control for Underwater Manipulation
AI Technology for Underwater Robots
José de Gea Fernández; Christian Ott; Bilal Wehbe
2020 // journal-article
Perception for Autonomous Systems (PAZ)
ArXiv
Arriaga, Octavio; Valdenegro-Toro, Matias; Muthuraja, Mohandass; Devaramani, Sushma; Kirchner, Frank
DOI:
2020 // journal-article
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
ArXiv
K, Swaroop Bhandary; Hochgeschwender, Nico; Plöger, Paul; Kirchner, Frank; Valdenegro-Toro, Matias
DOI:
2020 // conference-paper
Lightweight and Framework-Independent Communication Library to Support Cross-Plattform Robotic Applications and High-Latency Connections
15th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS '20)
Danter, Leon Cedric; Planthaber, Steffen; Dettmann, Alex; er; Brinkmann, Wiebke; Kirchner, Frank
DOI:
2020 // journal-article
BOLeRo: Behavior optimization and learning for robots
International Journal of Advanced Robotic Systems
Fabisch, A.; Langosz, M.; Kirchner, F.
DOI: 10.1177/1729881420913741
2020 // book-chapter
A Survey of Challenges and Potentials for AI Technologies
Intelligent Systems, Control and Automation: Science and Engineering
Kirchner, F.
DOI: 10.1007/978-3-030-30683-0_1
2020 // book-chapter
Intelligent Propulsion
Intelligent Systems, Control and Automation: Science and Engineering
Bachmayer, R.; Kampmann, P.; Pleteit, H.; Busse, M.; Kirchner, F.
DOI: 10.1007/978-3-030-30683-0_6
2020 // journal-article
Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes
PLoS ONE
Motta, D.; Bandeira Santos, A.Á.; Souza Machado, B.A.; Vicente Ribeiro-Filho, O.G.; Arriaga Camargo, L.O.; Valdenegro-Toro, M.A.; Kirchner, F.; Badaró, R.
DOI: 10.1371/journal.pone.0234959
2020 // book
AI Technology for Underwater Robots
Springer International Publishing
2020 // journal-article
A survey on modularity and distributivity in series-parallel hybrid robots
Mechatronics
Kumar, S.; Wöhrle, H.; de Gea Fernández, J.; Müller, A.; Kirchner, F.
DOI: 10.1016/j.mechatronics.2020.102367
2020 // conference-paper
Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications
Proceedings - IEEE International Conference on Robotics and Automation
Kim, S.K.; Andrea Kirchner, E.; Kirchner, F.
DOI: 10.1109/ICRA40945.2020.9197538
2020 // conference-paper
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning
Swaroop Bhandary K; Nico Hochgeschwender; Paul Plöger; Frank Kirchner; Matias Valdenegro-Toro
2020 // book-chapter
An Interactive Strategic Mission Management System for Intuitive Human-Robot Cooperation
AI Technology for Underwater Robots
Elsa Andrea Kirchner; Hagen Langer; Michael Beetz
2020 // journal-article
Errors in Human-Robot Interactions and Their Effects on Robot Learning
Frontiers in Robotics and AI
Kim, S.K.; Kirchner, E.A.; Schloßmüller, L.; Kirchner, F.
DOI: 10.3389/frobt.2020.558531
2020 // conference-paper
Momentum based classification for robotic active debris removal
Proceedings of the International Astronautical Congress, IAC
Vyas, S.; Jankovic, M.; Kirchner, F.
DOI:
2020 // other
Are gradient-based saliency maps useful in deep reinforcement learning?
arXiv
Rosynski, M.; Kirchner, F.; Valdenegro-Toro, M.
DOI:
2020 // other
Comparison of distal teacher learning with numerical and analytical methods to solve inverse kinematics for rigid-body mechanisms
arXiv
von Oehsen, T.; Fabisch, A.; Kumar, S.; Kirchner, F.
DOI:
