Mobile Manipulation: Paper Assignments

1. March 29:

   Andrew Fagg: Robert Platt, Roderic Grupen and Andrew H. Fagg (2006) Learning Grasp Context Distinctions that Generalize, IEEE-RAS International Conference on Humanoid Robots

2. April 5:

   Stephen Thung: Lerrel Pinto and Abhinav Gupta (2015) Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours, arXiv:1509.06825v1

   Mohammed Alsolami: Ian Lenz, Honglak Lee and Ashutosh Saxena (2009) Deep Learning for Detecting Robotic Grasps, Robotics: Science and Systems IX

3. April 12

4. April 19

   Adam Stanley: Hyun Oh Song, Mario Fritz, Daniel Goehring and Trevor Darrell (2015) Learning to detect visual grasp affordance, IEEE Transactions on Automation Science and Engineerinng, PP(99):1-12

   Andrew Fagg: Andreas ten Pas and Robert Platt (2015) Using Geometry to Detect Grasps in 3D Point Clouds, arXiv:1501.03100v3

5. April 26

   Stephen Thung: Ellis D. Hershkowitz, James MacGlashan, and Stefanie Tellex. Learning propositional functions for planning and reinforcement learning. In AAAI Spring Symposium, 2015.

6. May 3

   Adam Stanley: Austin Myers, Ching L. Teo, Cornelia Fermuller and Yiannis Aloimonos (2015) Affordance Detection of Tool Parts from Geometric Features, ICRA 2015

1. Alexander Stoytchev (2005) Toward Learning the Binding Affordances of Objects: A Behavior-Grounded Approach, AAAI Symposium on Developmental Robotics, Stanford University, Mar 21-23, 2005.

2. Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre Baseski, Frank Guerin, Justus Piater, and Norbert Kruger (2010) Development of Object and Grasping Knowledge by Robot Exploration, IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, VOL. 2, NO. 4, DECEMBER 2010
3. Francisco E. Vina B., Yasemin Bekiroglu, Christian Smith, Yiannis Karayiannidis and Danica Kragic (2013) Predicting Slippage and Learning Manipulation Affordances through Gaussian Process Regression IEEE-RAS International Conference on Humanoid Robots
4. Karthik Mahesh Varadarajan and Markus Vincze (2011) Affordance based Part Recognition for Grasping and Manipulation , ICRA Workshop on Autonomous Grasping
5. Andreas ten Pas and Robert Platt (2013) Localizing Grasp Affordances in 3-D Points Clouds Using Taubin Quadric Fitting, arXiv:1311.3192v1
6. R. Detry, E. Bas, M. Popovi, Y. Touati, N. Kruuger, O. Kroemer, J. Peters and J. Piater (2009) Learning Object-specific Grasp Affordance Densities, Proceedings of the International Conference on Development and Learning (ICDL'09)
7. Luis Montesano Manuel Lopes (2009) Learning grasping affordances from local visual descriptors (access only from OU network), Proceedings of the International Conference on Development and Learning (ICDL'09)
8. de Granville, C., Southerland, J., Fagg, A. H. (2006), Learning Grasp Affordances Through Human Demonstration, Proceedings of the International Conference on Development and Learning (ICDL'06)
9. Stefanie Tellex, Ross Knepper, Adrian Li, Daniela Rus, and Nicholas Roy (2014) Asking for Help Using Inverse Semantics Stefanie Tellex, Ross Knepper, Adrian Li, Daniela Rus, and Nicholas Roy. Proceedings of Robotics: Science and Systems, Berkeley, CA, 2014. (Best Paper.)
10. Stefanie Tellex, Pratiksha Thaker, Joshua Joseph, Nicholas Roy. (2013). Learning Perceptually Grounded Word Meanings From Unaligned Parallel Data. Machine Learning Journal (Special Issue on Learning Semantics in Machine Learning)

Useful background reading:

• Affordance Net: global database of objects and their affordances
• A. Geramifard, T. Walsh, S. Tellex, G. Chowdhary, N. Roy, J. P. How (2013) A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning Foundations and Trends in Machine Learning (FTML)
• Bodenhamer, M. (2014), Learning Relational Concepts with the Spatiotemporal Multidimensional Relational Framework, PhD dissertation, School of Computer Science, University of Oklahoma

• Renaud DETRY, L EARNING OF MULTI-DIMENSIONAL, MULTI-MODAL FEATURES FOR ROBOTIC GRASPING

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Last modified: Tue Apr 19 13:34:02 2016