Mårten Björkman
Title
Cited by
Cited by
Year
A framework for vision based bearing only 3D SLAM
P Jensfelt, D Kragic, J Folkesson, M Bjorkman
Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006
1442006
An active vision system for detecting, fixating and manipulating objects in the real world
B Rasolzadeh, M Björkman, K Huebner, D Kragic
The International Journal of Robotics Research 29 (2-3), 133-154, 2010
1242010
Vision for robotic object manipulation in domestic settings
D Kragic, M Björkman, HI Christensen, JO Eklundh
Robotics and autonomous Systems 52 (1), 85-100, 2005
1212005
Enhancing visual perception of shape through tactile glances
M Bjorkman, Y Bekiroglu, V Hogman, D Kragic
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013
962013
Active 3D scene segmentation and detection of unknown objects
M Björkman, D Kragic
2010 IEEE international conference on robotics and automation, 3114-3120, 2010
922010
Deep predictive policy training using reinforcement learning
A Ghadirzadeh, A Maki, D Kragic, M Björkman
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
652017
Combination of foveal and peripheral vision for object recognition and pose estimation
M Bjorkman, D Kragic
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
552004
Real-time epipolar geometry estimation of binocular stereo heads
M Bjorkman, JO Eklundh
IEEE Transactions on pattern analysis and machine intelligence 24 (3), 425-432, 2002
482002
Attention-based active 3D point cloud segmentation
M Johnson-Roberson, J Bohg, M Björkman, D Kragic
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
472010
Detecting, segmenting and tracking unknown objects using multi-label MRF inference
M Björkman, N Bergström, D Kragic
Computer Vision and Image Understanding 118, 111-127, 2014
402014
An attentional system combining top-down and bottom-up influences
B Rasolzadeh, M Björkman, JO Eklundh
International Cognitive Vision Workshop (ICVW06), 2006
372006
Vision in the real world: Finding, attending and recognizing objects
M Björkman, JO Eklundh
International Journal of Imaging Systems and Technology 16 (5), 189-208, 2006
372006
Generating object hypotheses in natural scenes through human-robot interaction
N Bergström, M Björkman, D Kragic
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
362011
A sensorimotor reinforcement learning framework for physical human-robot interaction
A Ghadirzadeh, J Bütepage, A Maki, D Kragic, M Björkman
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
252016
Interactive object classification using sensorimotor contingencies
V Högman, M Björkman, D Kragic
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
242013
Scene understanding through autonomous interactive perception
N Bergström, CH Ek, M Björkman, D Kragic
International Conference on Computer Vision Systems, 153-162, 2011
242011
Strategies for multi-modal scene exploration
J Bohg, M Johnson-Roberson, M Björkman, D Kragic
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
212010
Active 3d segmentation through fixation of previously unseen objects
M Björkman, D Kragic
British Machine Vision Conference (BMVC), Aberystwyth, UK, 119.1-119.11, 2010
202010
Scene representation and object grasping using active vision
X Gratal, J Bohg, M Björkman, D Kragic
IROS’10 Workshop on Defining and Solving Realistic Perception Problems in …, 2010
172010
Deep reinforcement learning to acquire navigation skills for wheel-legged robots in complex environments
X Chen, A Ghadirzadeh, J Folkesson, M Björkman, P Jensfelt
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
162018
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