Herman Bruyninckx mostly deals with Robot, Control theory, Artificial intelligence, Kinematics and Control engineering. His work carried out in the field of Robot brings together such families of science as Weighting, Segmentation and Automation. His biological study focuses on Kalman filter.
His studies in Artificial intelligence integrate themes in fields like Graph and Computer vision. His Kinematics study combines topics from a wide range of disciplines, such as Radius, Arbitrarily large, Hemiplegic cerebral palsy, Upper limb and Physical therapy. While the research belongs to areas of Control engineering, Herman Bruyninckx spends his time largely on the problem of Control, intersecting his research to questions surrounding Contact motion, Focus and Doors.
Herman Bruyninckx focuses on Artificial intelligence, Robot, Control engineering, Control theory and Computer vision. He has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition. His studies deal with areas such as Simulation and Task as well as Robot.
His Task research integrates issues from Object and Constraint. He combines subjects such as Control and Motion with his study of Control engineering. His research investigates the connection between Control theory and topics such as Position that intersect with problems in Kinematics.
Herman Bruyninckx spends much of his time researching Artificial intelligence, Robot, Software, Physical therapy and Control engineering. His Artificial intelligence study focuses on Robotics in particular. The study incorporates disciplines such as Control theory and Task in addition to Robot.
His research in Software intersects with topics in Distributed computing and Component. His Physical therapy study combines topics in areas such as Plantar pressure, Forefoot and Physical medicine and rehabilitation. His work in Control engineering addresses subjects such as Robot control, which are connected to disciplines such as Constrained optimization.
Herman Bruyninckx mainly focuses on Robot, Physical therapy, Artificial intelligence, Software and Software framework. His Robot research is multidisciplinary, relying on both Distributed computing, Theoretical computer science, Task and Control engineering. His Task study incorporates themes from Robotics and Pfaffian constraint.
His Physical therapy research incorporates themes from Gait analysis and Physical medicine and rehabilitation. In his study, which falls under the umbrella issue of Artificial intelligence, Directed acyclic graph is strongly linked to Computer vision. His work in Software framework tackles topics such as Software engineering which are related to areas like Software system and Separation of concerns.
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Open robot control software: the OROCOS project
H. Bruyninckx.
international conference on robotics and automation (2001)
Modeling and Control of Complex Physical Systems: The Port-Hamiltonian Approach
Vincent Duindam;Alessandro Macchelli;Stefano Stramigioli;Herman Bruyninckx.
(2014)
European Robotics Symposium 2008
Herman Bruyninckx;Libor Preucil;Miroslav Kulich.
(2008)
Comment on "A new method for the nonlinear transformation of means and covariances in filters and estimators" [with authors' reply]
T. Lefebvre;H. Bruyninckx;J. De Schuller.
IEEE Transactions on Automatic Control (2002)
Kalman filters for non-linear systems: a comparison of performance
Tine Lefebvre;Herman Bruyninckx;Joris De Schutter.
International Journal of Control (2004)
Specification of force-controlled actions in the "task frame formalism"-a synthesis
H. Bruyninckx;J. De Schutter.
international conference on robotics and automation (1996)
Constraint-based Task Specification and Estimation for Sensor-Based Robot Systems in the Presence of Geometric Uncertainty
Joris De Schutter;Tinne De Laet;Johan Rutgeerts;Wilm Decré.
The International Journal of Robotics Research (2007)
The real-time motion control core of the Orocos project
H. Bruyninckx;P. Soetens;B. Koninckx.
international conference on robotics and automation (2003)
The BRICS component model: a model-based development paradigm for complex robotics software systems
Herman Bruyninckx;Markus Klotzbücher;Nico Hochgeschwender;Gerhard Kraetzschmar.
acm symposium on applied computing (2013)
A comparison of decision making criteria and optimization methods for active robotic sensing
Lyudmila Mihaylova;Tine Lefebvre;Herman Bruyninckx;Klaas Gadeyne.
Lecture Notes in Computer Science (2003)
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