Mårten Björkman - Concepedia

Author

Mårten Björkman

Also Known As

Björkman Mårten, Björkman, M., Björkman, Mårten, M. Bjorkman, M. Björkman, Marten Bjorkman, Marten Björkman, Mårten Björkman, Mårten Björkman

154

Publications

1.6K

Citations

H-Index

104

Concepts

All Affiliations

KTH Royal Institute of Technology Colorado State University Scania (Sweden)Vrije Universiteit Amsterdam University of Skövde

About

Mårten Björkman is an author at KTH Royal Institute of Technology specializing in engineering, machine vision, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	27	1.1K
2	Natural Sciences	5	5	323
3	Health Sciences	3	3	58
4	Arts	1	1	18
5	Education	1	1	13

Mårten Björkman

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Enhancing visual perception of shape through tactile glances Mårten Björkman, Yasemin Bekiroglu, Virgile Högman, Artificial IntelligenceHaptic FeedbackEngineeringMachine LearningDexterous Manipulation	2013	128
Deep predictive policy training using reinforcement learning Ali Ghadirzadeh, Atsuto Maki, Danica Kragić, Artificial IntelligenceRobot Task LearningPr2 RobotEngineeringMachine Learning	2017	113
An Active Vision System for Detecting, Fixating and Manipulating Objects in the Real World Babak Rasolzadeh, Mårten Björkman, Kai Huebner, The International Journal of Robotics Research Robotic SystemsEngineeringIntelligent RoboticsCognitive RoboticsObject Manipulation	2009	109
Vision for robotic object manipulation in domestic settings Danica Kragić, Mårten Björkman, Henrik I. Christensen, Robotics and Autonomous Systems Machine VisionEngineeringVision RoboticsEye TrackingObject Manipulation	2005	101
A framework for vision based bearing only 3D SLAM Patric Jensfelt, Danica Kragić, John Folkesson, EngineeringImage FeaturesField RoboticsMulti-view GeometryLocalization	2006	95
Active 3D scene segmentation and detection of unknown objects Mårten Björkman, Danica Kragić Scene AnalysisEngineeringField Robotics3D Computer VisionImage Analysis	2010	86
Attention-based active 3D point cloud segmentation Matthew Johnson‐Roberson, Jeannette Bohg, Mårten Björkman, EngineeringField RoboticsPoint Cloud ProcessingPoint Cloud3D Computer Vision	2010	47
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments Xi Chen, Ali Ghadirzadeh, John Folkesson, Artificial IntelligenceEngineeringMachine LearningField RoboticsIntelligent Robotics	2018	47
Detecting, segmenting and tracking unknown objects using multi-label MRF inference Mårten Björkman, Niklas Bergström, Danica Kragić Computer Vision and Image Understanding Image AnalysisMachine VisionData ScienceData MiningPattern Recognition	2013	46
Combination of foveal and peripheral vision for object recognition and pose estimation Mårten Björkman, Danica Kragić EngineeringReal-time Vision SystemBinocular Cues3D Computer VisionImage Analysis	2004	46

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