His primary areas of investigation include Artificial intelligence, Robot, Simulation, Computer vision and Human–computer interaction. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Context, Machine learning and Field. His research investigates the connection between Robot and topics such as Task that intersect with issues in Trajectory, Robot kinematics and Control theory.
Alois Knoll has included themes like Electric vehicle, Traffic simulation, Robotic surgery and Articulated robot in his Simulation study. His Computer vision research focuses on subjects like Industrial robot, which are linked to Perception. His Human–computer interaction research incorporates themes from Situated, Benchmark, Natural language and Social robot.
The scientist’s investigation covers issues in Artificial intelligence, Robot, Computer vision, Simulation and Control engineering. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Task and Pattern recognition. The various areas that Alois Knoll examines in his Robot study include Control theory and Human–computer interaction.
Computer vision is often connected to Robustness in his work. Alois Knoll specializes in Simulation, namely Haptic technology. His primary area of study in Fuzzy logic is in the field of Fuzzy control system.
Alois Knoll focuses on Artificial intelligence, Robot, Computer vision, Artificial neural network and Reinforcement learning. His work in Artificial intelligence addresses issues such as Machine learning, which are connected to fields such as Task. His work carried out in the field of Robot brings together such families of science as End-to-end principle, Control engineering, Control theory and Robotic arm.
Control theory is a subfield of Control theory that Alois Knoll tackles. His Computer vision study combines topics from a wide range of disciplines, such as Frame and Optical coherence tomography. The study incorporates disciplines such as Model predictive control and Trajectory in addition to Artificial neural network.
Alois Knoll spends much of his time researching Artificial intelligence, Robot, Computer vision, Neuromorphic engineering and Reinforcement learning. His Artificial intelligence research includes elements of Field and Machine learning. Alois Knoll has researched Robot in several fields, including Orientation, Tracking, Process and Software.
His biological study spans a wide range of topics, including Frame, Microsurgery, Convolutional neural network and Optical coherence tomography. In his study, Hyperparameter optimization, Parameterized complexity, Degrees of freedom and Gait is inextricably linked to Control theory, which falls within the broad field of Reinforcement learning. His Artificial neural network research incorporates elements of Generalization, Trajectory and Mobile robot.
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Gradient boosting machines, a tutorial.
Alexey Natekin;Alois C. Knoll.
Frontiers in Neurorobotics (2013)
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
H. Mayer;F. Gomez;D. Wierstra;I. Nagy.
intelligent robots and systems (2006)
Human-robot interaction in handing-over tasks
M. Huber;M. Rickert;A. Knoll;T. Brandt.
robot and human interactive communication (2008)
The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain
Katrin Amunts;Katrin Amunts;Christoph Ebell;Jeff Muller;Martin Telefont.
Introducing the Human Brain Project
Henry Markram;Karlheinz Meier;Thomas Lippert;Sten Grillner.
future technologies conference (2011)
PM-Huber: PatchMatch with Huber Regularization for Stereo Matching
Philipp Heise;Sebastian Klose;Brian Jensen;Alois Knoll.
international conference on computer vision (2013)
Energy optimization for real-time multiprocessor system-on-chip with optimal DVFS and DPM combination
Gang Chen;Kai Huang;Alois Knoll.
ACM Transactions in Embedded Computing Systems (2014)
Cerebral glucose metabolism in patients with AD and different APOE genotypes.
A. Drzezga;M. Riemenschneider;B. Strassner;T. Grimmer.
Artificial Cognition in Production Systems
A Bannat;T Bautze;M Beetz;J Blume.
IEEE Transactions on Automation Science and Engineering (2011)
Joint-action for humans and industrial robots for assembly tasks
C. Lenz;S. Nair;M. Rickert;A. Knoll.
robot and human interactive communication (2008)
Profile was last updated on December 6th, 2021.
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