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Mikael Norrlöf
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2020 – today
- 2024
- [c12]Bernhard Wullt, Per Mattsson, Thomas B. Schön, Mikael Norrlöf:
A Model Predictive Control Approach to Motion Planning in Dynamic Environments. ECC 2024: 3247-3254 - [i3]Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith:
Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation. CoRR abs/2409.13356 (2024) - 2023
- [c11]Stefanie A. Zimmermann, Martin Enqvist, Svante Gunnarsson, Stig Moberg, Mikael Norrlöf:
Experimental evaluation of a method for improving experiment design in robot identification. ICRA 2023: 11432-11438 - [i2]Hamed Haghshenas, Anders Hansson, Mikael Norrlöf:
Time-Optimal Path Tracking for Cooperative Manipulators: A Convex Optimization Approach. CoRR abs/2303.07039 (2023) - 2022
- [c10]Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith:
Combining Planning and Learning of Behavior Trees for Robotic Assembly. ICRA 2022: 11511-11517 - 2021
- [i1]Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith:
Combining Planning and Learning of Behavior Trees for Robotic Assembly. CoRR abs/2103.09036 (2021) - 2020
- [j10]Sathish Vallachira, Michal Orkisz
, Mikael Norrlöf, Sachit Butail
Data-Driven Gearbox Failure Detection in Industrial Robots. IEEE Trans. Ind. Informatics 16(1): 193-201 (2020)
2010 – 2019
- 2018
- [c9]Martin Biel, Mikael Norrlöf:
Efficient trajectory reshaping in a dynamic environment. AMC 2018: 54-59 - [c8]Viktor Johansson, Stig Moberg, Erik Hedberg, Mikael Norrlöf, Svante Gunnarsson:
A Learning Approach for Feed-Forward Friction Compensation ⁎. SyRoCo 2018: 412-417 - 2014
- [j9]Patrik Axelsson, Rickard Karlsson, Mikael Norrlöf:
Estimation-based norm-optimal iterative learning control. Syst. Control. Lett. 73: 76-80 (2014) - 2013
- [j8]Johanna Wallen, Svante Gunnarsson, Mikael Norrlöf:
Analysis of boundary effects in iterative learning control. Int. J. Control 86(3): 410-415 (2013) - [c7]Patrik Axelsson, Rickard Karlsson, Mikael Norrlöf:
Estimation-based ILC using particle filter with application to industrial manipulators. IROS 2013: 1740-1745 - 2012
- [c6]Patrik Axelsson, Rickard Karlsson, Mikael Norrlöf:
Tool position estimation of a flexible industrial robot using recursive bayesian methods. ICRA 2012: 5234-5239 - [c5]Patrik Axelsson, Mikael Norrlöf:
Method to Estimate the Position and Orientation of a Triaxial Accelerometer Mounted to an Industrial Manipulator. SyRoCo 2012: 283-288 - 2011
- [j7]Ying Tan
On reference governor in iterative learning control for dynamic systems with input saturation. Autom. 47(11): 2412-2419 (2011)
2000 – 2009
- 2009
- [c4]Johanna Wallen, Svante Gunnarsson, Robert Henriksson, Stig Moberg, Mikael Norrlöf:
ILC applied to a flexible two-link robot model using sensor-fusion-based estimates. CDC 2009: 458-463 - [c3]Robert Henriksson, Mikael Norrlöf, Stig Moberg, Erik Wernholt, Thomas B. Schön
Experimental comparison of observers for tool position estimation of industrial robots. CDC 2009: 8065-8070 - [c2]Johanna Wallen, Mikael Norrlöf, Svante Gunnarsson:
Performance of ILC applied to a flexible mechanical system. ECC 2009: 1511-1516 - 2007
- [j6]Svante Gunnarsson, Mikael Norrlöf, Enes Rahic, Markus Özbek:
On the use of accelerometers in iterative learning control of a flexible robot arm. Int. J. Control 80(3): 363-373 (2007) - 2006
- [j5]Svante Gunnarsson, Mikael Norrlöf:
On the disturbance properties of high order iterative learning control algorithms. Autom. 42(11): 2031-2034 (2006) - 2005
- [j4]Mikael Norrlöf, Svante Gunnarsson:
A note on causal and CITE iterative learning control algorithms. Autom. 41(2): 345-350 (2005) - 2002
- [j3]Mikael Norrlöf:
An adaptive iterative learning control algorithm with experiments on an industrial robot. IEEE Trans. Robotics Autom. 18(2): 245-251 (2002) - [j2]Mikael Norrlöf, Svante Gunnarsson:
Experimental comparison of some classical iterative learning control algorithms. IEEE Trans. Robotics Autom. 18(4): 636-641 (2002) - 2001
- [j1]Svante Gunnarsson, Mikael Norrlöf:
On the design of ILC algorithms using optimization. Autom. 37(12): 2011-2016 (2001) - [c1]Mikael Norrlöf:
An adaptive approach to iterative learning control with experiments on an industrial robot. ECC 2001: 220-225
Coauthor Index
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