Holistic Grasping: Affordances, Grasp Semantics, Task Constraints

My doctoral thesis, where I argue for a more holistic approach to the grasping problem and object interaction in general.
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Human Visual Understanding for Cognition and Manipulation–A primer for the roboticist

M. Hjelm
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Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning

M. Hjelm, C. H. Ek, R. Detry, and D. Kragic
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Learning Human Priors for Task-Constrained Grasping

M. Hjelm, C. H. Ek, R. Detry, and D. Kragic, In 10th International Conference Computer Vision Systems, ICVS, 2015.
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Representations for Cross-task, Cross-object Grasp Transfer

M. Hjelm, R. Detry, C. H. Ek and D. Kragic, In IEEE International Conference on Robotics and Automation, 2014.
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Sparse Summarization of Robotic Grasping Data

M. Hjelm, C. H. Ek, R. Detry, H. Kjellstrom and D. Kragic, In IEEE International Conference on Robotics and Automation, 2013.
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Teaching TA Experience

DD2431 Machine Learning
DD2423 Image Analysis and Computer Vision
DD1346 Object-Oriented Program Construction
DD2427 Image Based Recognition and Classification