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Mårten Björkman
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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
1622006
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
1372010
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
1312013
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
129*2017
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
1292005
Active 3D scene segmentation and detection of unknown objects
M Björkman, D Kragic
2010 IEEE international conference on robotics and automation, 3114-3120, 2010
1032010
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
642014
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
572004
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
512010
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
502016
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
492002
Deep reinforcement learning to acquire navigation skills for wheel-legged robots in complex environments. In 2018 IEEE
X Chen, A Ghadirzadeh, J Folkesson, M Björkman, P Jensfelt
RSJ International Conference on Intelligent Robots and Systems (IROS), 3110-3116, 2018
40*2018
An attentional system combining top-down and bottom-up influences
B Rasolzadeh, M Björkman, JO Eklundh
International Cognitive Vision Workshop (ICVW06), 2006
402006
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
392011
Human-centered collaborative robots with deep reinforcement learning
A Ghadirzadeh, X Chen, W Yin, Z Yi, M Björkman, D Kragic
IEEE Robotics and Automation Letters 6 (2), 566-571, 2020
382020
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
382006
Scene Understanding through Autonomous Interactive Perception.
N Bergström, CH Ek, M Björkman, D Kragic
ICVS, 153-162, 2011
282011
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
262010
Interactive object classification using sensorimotor contingencies
V Högman, M Björkman, D Kragic
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
252013
Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration
GZ Gandler, CH Ek, M Björkman, R Stolkin, Y Bekiroglu
Robotics and Autonomous Systems 126, 103433, 2020
242020
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Articles 1–20