Journal Papers

[3] A Framework For Optimal Grasp Contact Planning
K. Hang, J. A. Stork, N. S. Pollard and D. Kragic
IEEE Robotics and Automation Letters, 2017.
Selected for oral presentation at IEEE ICRA, Singapore, 2017

[2] Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation
K. Hang, M. Li, J. A. Stork, Y. Bekiroglu, F. T. Pokorny, A. Billard and D. Kragic
IEEE Transactions on Robotics, 2016.
Selected for oral presentation at IEEE ICRA, Singapore, 2017
[preprint]      [bibtex]      [video]

[1] Dexterous Grasping under Shape Uncertainty
M. Li, K. Hang, D. Kragic and A. Billard
Robotics and Autonomous Systems, 2016.

Conference Papers

[7] Integrating Motion and Hierarchical Fingertip Grasp Planning
J. A. Haustein, K. Hang and D. Kragic
IEEE ICRA, Singapore, 2017.

[6] On the Evolution of Fingertip Grasping Manifolds
K. Hang, J. A. Haustein, M. Li, A. Billard, C. Smith and D. Kragic
IEEE ICRA, Stockholm, Sweden, 2016.

[5] Hierarchical Fingertip Space for Multi-fingered Precision Grasping
K. Hang, J. A. Stork and D. Kragic
IEEE/RSJ IROS, Chicago, US, 2014.

[4] Combinatorial Optimization for Hierarchical Contact-level Grasping
K. Hang, J. A. Stork, F.T. Pokorny and D. Kragic
IEEE ICRA, Hong Kong, China, 2014.
Best Student Paper Award Finalist

[3] Friction Coefficients and Grasp Synthesis
K. Hang, F.T. Pokorny and D. Kragic
IEEE/RSJ IROS, Tokyo, Japan, 2013.

[2] Grasp Moduli Spaces
F.T. Pokorny, K. Hang and D. Kragic
Robotics: Science and Sytems, Berlin, Germany, 2013.

[1] Improving Generalization for 3D Object Categorization with Global Structure Histograms
M. Madry, C.H. Ek, R. Detry, K. Hang, D. Kragic.
IEEE/RSJ IROS, Vilamoura, Algarve, 2012
Best Cognitive Robotics Paper Award Finalist

Workshop Papers

[1] Hierarchical Fingertip Space for Synthesizing Adaptable Fingertip Grasps
K. Hang, M. Li, J. A. Stork, Y. Bekiroglu, A. Billard and D. Kragic
IEEE ICRA, Workshop on Autonomous Grasping and Manipulation: An Open Challenge
Hong Kong, China, 2014.

Previous Work

[3] ISABoost: A weak classifier inner structure adjusting based AdaBoost algorithm - ISABoost based application in scene categorization
Xueming Qian, Yuan Yan Tang, Zhe Yan, K. Hang
Neurocomputing, 2013.

[2] Boosted Scene Categorization Approach by Adjusting Inner Structures and Outer Weights of Weak Classifiers
Xueming Qian, Zhe Yan, K. Hang
MMM, Taipei, Taiwan 2011.

[1] Scene Categorization Using Boosted Back-Propagation Neural Networks
Xueming Qian, Zhe Yan, K. Hang, Guizhong Liu, Huan Wang, Zhe Wang, Zhi Li
PCM, Shanghai, China, 2010.