Andrew H. Fagg:
Publications


Dissertation

A Computational Model of The Cortical Mechanisms Involved in Primate Grasping, Ph.D. Dissertation, Computer Science Department, University of Southern California, 1996

Articles In Preparation/Submitted

  1. de Granville, C., Fagg, A. H. (submitted), Learning Grasp Affordances Through Human Demonstration, submitted to the Journal of Autonomous Robots

  2. Wang, D. and Fagg, A. H. (submitted) Learning Visual Features that Predict Grasp Type and Location,

  3. Fagg, A. H., Hatsopoulos, N. G., London, B., Reimber, J., Solla, S., Wang, D., Miller, L. E. (submitted) Toward aBiomimetic, Bidirectional, Brain Machine Interface, IEEE Engineering in Medicine and Biology Society

  4. Palmer, T. J. and Fagg, A. H. (submitted) Learning Grasp Affordances with Variable Tool Point Offsets,

  5. Nemati, S., Hatsopoulos, N. G., Miller, L. E., and Fagg, A. H. (in revision) Constructing Robust Neural Decoders Using Limited Training Data

  6. Platt, R., Grupen, R. and Fagg, A. H. (in preparation) Grasp Control: Theory and Experiments

  7. Platt, R., Fagg, A. H., and Grupen, R., (in revision) Learning Grasping Skills Using Schema Structured Learning.

Journal Articles

  1. Fagg, A. H., Ojakangas, G., Miller, L., Hatsopoulos, N. (2009) Kinetic Trajectory Decoding Using Motor Cortical Ensembles , to appear in the IEEE Transactions on Neural Systems and Rehabilitation Engineering

  2. Ou, S., Fagg, A. H., Shenoy, P., Chen, L. (2009) Application of Reinforcement Learning in Multisensor Fusion Problems with Conflicting Control Objectives, Intelligent Automation and Soft Computing, 15(2):277-289

  3. Fagg, A. H., Hatsopoulos, N. G., de Lafuente, V., Moxon, K. A., Nemati, S., Rebesco, J. M., Romo, R., Solla, S. A., Reimer, J., Tkach, D., Pohlmeyer, E. A., and Miller L. E. (2007) Biomimetic brain machine interfaces for the control of movement, Journal of Neuroscience, 27(44):11842-11846

  4. Morales, A., Sanz, P. J., del Pobil, A. P., and Fagg, A. H. (2006) Vision-based three-finger grasp synthesis constrained by hand geometry Robotics and Autonomous Systems, 54(6):419-512

  5. Brock, O., Fagg, A. H., Grupen, R. A., Karuppiah, D., Platt, R., Rosenstein, M., (2005), A Framework For Humanoid Control and Intelligence, International Journal of Humanoid Robotics, 2(3):301-336

  6. Morales, A., Chinellato, E., Fagg, A. H., del Pobil, A. P. (2004) Using Experience for Assessing Grasp Reliability, International Journal of Humanoid Robotics, 1(4):671-691

  7. Shah, A., Fagg, A. H., Barto, A. G. (2004) Cortical Involvement in the Recruitment of Wrist Muscles, Journal of Neurophysiology, 91:2445 - 2456. (pdf version) (official JNP version)

  8. Fagg, A. H., Shah, A., Barto, A. G. (2002) A Computational Model of Muscle Recruitment for Wrist Movements, Journal of Neurophysiology, 88(6):3348-3358 (pdf version)

  9. Marcos, L., Oliveira, A. F., Grupen, R. A., Wheeler, D. S., and Fagg, A. H. (2000), Tracing Patterns and Attention: Humanoid Robot Cognition IEEE Intelligent Systems 15 (4):70-75, July/August

  10. Barto, A. G., Fagg, A. H., Sitkoff, N., Houk, J. C. (1999) A Cerebellar Model of Timing and Prediction in the Control of Reaching, Neural Computation 11:565-594

  11. Fagg, A. H., Arbib, M. A. (1998) Modeling Parietal-Premotor Interactions in Primate Control of Grasping, Neural Networks 11(7/8):1277-1303 (pdf version)

  12. Grafton, S. T., Fagg, A. H., Arbib, M. A. (1998) Dorsal Premotor Cortex and Conditional Movement Selection: A PET Functional Mapping Study, Journal of Neurophysiology, 79(2):1092-1097

  13. Grafton, S. T., Fagg, A. H., Arbib, M. A., Woods, R. (1996) Functional Anatomy of Pointing and Grasping in Humans, Cerebral Cortex, 6(2):226-237

  14. Arbib, M. A., Bischoff, A., Fagg, A. H., Grafton, S. T. (1995) Synthetic PET: Analyzing Large-Scale Properties of Neural Networks, Human Brain Mapping, 2:225-233

  15. Montgomery, J. F., Fagg, A. H., Bekey, G. A. (1995) The USC AFV-I: A Behavior-Based Entry in the 1994 International Aerial Robotics Competition, IEEE Expert: Intelligent Systems and Their Applications, 10 (2):16-22, April (pdf version)

  16. Fagg, A. H., Arbib, M. A. (1992) A Model of Primate Visual/Motor Conditional Learning, Journal of Adaptive Behavior, Summer, 1(1):3-37 (pdf version)

Art Exhibitions

  1. Brown, A., Fagg, A. H. (2007-2008), Bion, Stephenson Research and Technology Center, University of Oklahoma, Norman, OK, May 1, 2007 - current

  2. Brown, A., Fagg, A. H. (2007), Bion, Singularity in the Communal Tide, Pierro Gallery, South Orange, NJ, May 13-July 15

  3. Archinal, A., Bleckley, S., Courtney, C., Cunningham, P., Gay J., Goddard, B., Gomez, J., Hunt, T. Renyer, J., Roman, M., Brown, A., Fagg, A. H. (2007), PulsePool, Boston Cyber-Arts Festival, Boston Museum of Science, Boston, MA, April 21-29; co-supervisor of this student project

  4. Brown, A., Fagg, A. H. (2006), Bion, Bridge Art Fair, Curated by: Rupert Ravens Contemporary, Miami, Florida, December

  5. Brown, A., Fagg, A. H. (2006-2007), Bion, Engaging Technology: A History & Future of Intermedia, Ball State University, November 16 - March 11

  6. Brown, A., Fagg, A. H. (2006), Bion, Newark Between Us, Newark, NJ, October 22-December 17

  7. Brown, A., Fagg, A. H. (2006), Bion, Living Arts of Tulsa, Tulsa, OK, September 7-28

  8. Brown, A., Fagg, A. H. (2006), Bion, 33rd International Conference and Exhibition on Computer Graphics and Interactive Techniques, Boston, MA, July 30-August 3

  9. Brown, A., Fagg, A. H. (2006), Bion, iDEAs Exhibition at the International Digital Media and Arts Association Conference, Miami University, Oxford, OH, April 6-8

  10. Brown, A., Fagg, A. H. (2006), Bion, Archival to Contemporary: Six Decades of the Sculptors Guild, Hillwood Art Museum, Long Island University, Brookville, NY, January 30-May 15

Refereed Conference and Workshop Publications

  1. Miller, L. E., Fagg, A. H., Hatsopoulos, N., Mussa-Ivaldi, F. A., Solla, S. (2009) Bidirectional Brain-Machine Interfaces: Sensory Fusion and Adaptive Maps (Workshop), Proceedings of the Spring Meeting on the Neural Control of Movement, electronically published

  2. Fagg, A. H., Hatsopoulos, N. G., Miller, L. E., (2007) M1 and the Dynamic Limb: Decoding Joint Torque for Prediction and Control, component of the Biomimetic Brain Machine Interfaces for the Control of Limb Movement Mini-symposium (Chair, L. E. Miller) at the Annual Meeting for the Society of Neuroscience, Presentation #650.2.

  3. Wang, D., Watson, B. T., Fagg, A. H. (2007) A Switching Control Approach to Haptic Exploration for Quality Grasps, Proceedings of the Robotics: Science & Systems 2007 Workshop on Sensing and Adapting to the Real World, Electronically Published

  4. Nemati, S., Yeary, M., Yu, T.-Y., Wang, Y., Zhai, Y. and Fagg, A. H., (2007) Spectral Signature Classification Using A Support Vector Classifier, Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Warsaw, May

  5. Brown, A., Fagg, A. H. (2006), Is it alive? Sensor Networks and Art, (artist sketch) Proceedings of the 33rd International Conference and Exhibition on Computer Graphics and Interactive Techniques

  6. Platt, Jr., R., Grupen, R. A., Fagg, A. H. (2006), Learning Grasp Context Distinctions that Generalize, Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Electronically Published

  7. 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), Electronically Published

  8. Platt, Jr., R., Grupen, R. A., Fagg, A. H. (2006), Improving Grasp Skills Using Schema Structured Learning, Proceedings of the International Conference on Development and Learning (ICDL'06), Electronically Published

  9. Brown, A., Fagg, A. H. (2006), Is it alive? Sensor Networks and Art, Proceedings of the International Digital Media and Arts Association Conference, Miami University, Oxford, OH

  10. Platt, Jr., R., Fagg, A. H., Grupen, R. A. (2005), Re-Using Schematic Grasping Policies, Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Electronically Published

  11. Rosenstein, M. T., Fagg, A. H., Ou, S, Grupen, R. A. (2005) User Intentions Funneled Through A Human-Robot Interface, Proceedings of the 10th International Conference on Intelligent User Interfaces, pp. 257-259

  12. Platt, Jr., R., Fagg, A. H., Grupen, R. A. (2004), Manipulation Gaits: Sequences of Grasp Control Tasks, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'04), pp. 801-806

  13. Rosenstein, M. T., Fagg, A. H., and Grupen, R. A. (2004), Robot Learning with Predictions of Operator Intent, In the Proceedings of the 2004 AAAI Fall Symposium on the Intersection of Cognitive Science and Robotics: From Interfaces to Intelligence, pp. 107-8. AAAI Press, Menlo Park, CA

  14. Morales, A., Chinellato, E., Fagg, A. H., del Pobil, A.P. (2004), An active learning approach for assessing robot grasp reliability, In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), Sendai, Japan, September, Electronically Published.

  15. Morales, A. , Chinellato, E., Sanz, P. J., Fagg, A. H., del Pobil, A. P. (2004), Vision based planar grasp synthesis and reliability assessment for a multifinger robot hand: a learning approach, In the International Conference on Intelligent Manipulation and Grasping (IMG04), Genoa, Italy, Electronically Published.

  16. Morales, A., Chinelalto, E., Sanz, P. J., Fagg, A. H., del Pobil, A.P. (2004), Learning to predict grasp reliability with a multifinger robot hand by using visual features, In IASTED International Conference on Artificial Intelligence and Soft Computing, Marbella, Spain, September

  17. Bluethmann, W., Ambrose, R., Diftler, M., Huber, E., Fagg, A. H., Rosenstein, M., Platt, R., Grupen, R., Breazeal, C., Brooks, A., Lockerd, A., Peters, R. A., Jenkins, O. C., Mataric, M., Bugajska, M. (2004) Building an Autonomous Humanoid Tool User, Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Electronically Published

  18. Platt, R., Brock, O., Fagg, A. H., Karuppiah, D., Rosenstein, M., Coelho, J., Huber, M., Piater, J., Wheeler, D., and Grupen, R. A. (2003), A Framework For Humanoid Control and Intelligence, Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Electronically Published

  19. Morales, A., Chinellato, E., Fagg, A. H., del Pobil, A. P. (2003), Using Experience for Assessing Grasp Reliability, Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Electronically Published

  20. Morales, A., Chinellato, E., Fagg, A. H., del Pobil, A. P. (2003), Experimental Prediction of the Performance of Grasp Tasks from Visual Features, Proceedings of International Conference on Intelligent Robots and Systems (IROS'03), Electronically Published

  21. Platt, Jr., R., Fagg, A. H., Grupen, R. A. (2003), Extending Fingertip Grasping to Whole Body Grasping, Proceedings of International Conference on Robotics and Automation (ICRA'03), pp. 2677-2682

  22. Platt, Jr., R., Fagg, A. H., Grupen, R. A. (2002), Nullspace Composition of Control Laws for Grasping, Proceedings of the International Conference on Intelligent Robots and Systems (IROS'02), Electronically Published

  23. Wang, Y., Thibodeau, B., Fagg, A. H., Grupen, R. A. (2002), Learning Optimal Switching Policies for Path Tracking Tasks on a Mobile Robot, Proceedings of the International Conference on Intelligent Robots and Systems (IROS'02), Electronically Published

  24. Morales, A., Sanz, P. J., del Pobil, A. P., Fagg, A. H. (2002), An Experiment in Constraining Vision-Based Finger Contact Selection with Gripper Geometry, Proceedings of the International Conference on Intelligent Robots and Systems (IROS'02), Electronically Published

  25. Wheeler, D. S., Fagg, A. H., Grupen, R. A. (2002), Learning Prospective Pick and Place Behavior, Proceedings of the International Conference on Development and Learning (ICDL'02), Electronically Published

  26. Amstutz, P. and Fagg, A. H. (2002), Real Time Visualization of Robot State with Mobile Virtual Reality, Proceedings of the International Conference on Robotics and Automation (ICRA'02), pp. 241-247 (pdf version)

  27. Davis, J. A., Fagg, A. H., Levine, B. N. (2001), Wearable Computers as Packet Transport Mechanisms in Highly-Partitioned Ad-Hoc Networks, Proceedings of the International Symposium on Wearable Computing, Zurich, Switzerland, October 2001, pp. 141-148

  28. Fagg, A. H., Barto, A. G., Houk, J. C. (1998) Learning to Reach Via Corrective Movements, Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, New Haven, CT, June 10-12, pp. 179-185

  29. Fagg, A. H., Sitkoff, N., Barto, A. G., Houk, J. C. (1997) Cerebellar Learning for Control of a Two-Link Arm in Muscle Space, Proceedings of the IEEE Conference on Robotics and Automation, May, pp. 2638-2644

  30. Fagg, A. H., Sitkoff, N., Barto, A. G., Houk, J. C. (1997) A Model of Cerebellar Learning for Control of Arm Movements Using Muscle Synergies, Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, July 10-11, pp. 6-12

  31. McGovern, A., Sutton, R. S., Fagg, A. H. (1997) Roles of Macro-Actions in Accelerating Reinforcement Learning, Grace Hopper Celebration of Women in Computing, pp. 13-18

  32. Fagg, A. H., Lotspeich, D. L., Hoff, J. Bekey, G. A. (1994) Rapid Reinforcement Learning for Reactive Control Policy Design for Autonomous Robots, Proceedings of the World Congress on Neural Networks, June, pp. II 118-26, San Diego, California (pdf version)

  33. Fagg, A. H., Lotspeich, D. L., Bekey, G. A. (1994) Reinforcement-Learning Approach to Reactive Control Policy Design for Autonomous Robots, Proceedings of the IEEE Conference on Robotics and Automation, May, pp. 39-44, San Diego, California

  34. Fagg, A. H., Lewis, M. A., Montgomery, J. F., Bekey, G. A. (1993) The USC Autonomous Flying Vehicle: an Experiment in Real-Time Behavior-Based Control, Proceedings of the IEEE Conference on Intelligent Robots and Systems, July, pp. 1173-1180, Yokohama, Japan (pdf version)

  35. Fagg, A. H., Fiser, J. (1993) Low Level Modeling of the Development of Directionally Selective Microcircuits in Cat Striate Cortex, IEEE Conference on Neural Networks, March, pp. 772-777, San Francisco, California

  36. Fagg, A. H., King, I. K., Lewis, M. A., Liaw, J.-S., Weitzenfeld, A. (1992) A Neural Network Based Testbed for Modeling Sensorimotor Integration in Robotic Applications, Proceedings of the International Joint Conference on Neural Networks, June, pp. I 86-91, Baltimore

  37. Lewis, M. A., Fagg, A. H., Solidum, A., Bekey, G. A. (1992) Genetic Programming Approach to the Construction of a Neural Network for Control of a Walking Robot, Proceedings of the IEEE Conference on Robotics and Automation, May, pp. 2618-2623, Nice, France

  38. Fagg, A. H., Lewis, M. A., Iberall, T., Bekey, G. (1991) R$^2$AD : Rapid Robotics Application Development Environment, Proceedings of the IEEE Conference on Robotics and Automation, April, pp. 1420-1426, Sacramento, California

  39. Taber, W. R., Deich, R., Simpson, P., Fagg, A. H. (1988) The Recognition of Orca Calls with a Neural Network, Proceedings of the Japan Conference on Fuzzy Logic

Book Chapters

  1. de Granville, C., Wang, D., Southerland, J., Platt, Jr. R., and Fagg, A. H. (2009), Grasping Affordances: Learning to Connect Vision to Hand Action, ``The Path to Autonomous Robots; Essays in Honor of George A. Bekey'' (Gaurav S. Sukhatme, Ed.), Springer

  2. Arbib, M. A., Fagg, A. H., and Grafton, S. T. (2002), Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior, in Explorative analysis and data modelling in functional neuroimaging, (F. Sommer and A. Wichert, Eds.), Cambridge MA: The MIT Press, pp. 231-250

  3. Houk, J. C., Fagg, A. H., Barto, A. G. (2002), Fractional Power Damping Model of Joint Motion, Progress in Motor Control: Structure-Function Relations in Voluntary Movements (M. Latash, Ed.), Vol. II, pp. 147-178

  4. Fagg, A. H., Weitzenfeld, A. (2002) A Model of Primate Visual-Motor Conditional Learning, NSL - Neural Simulation Language: Systems and Applications (A. Weitzenfeld, M. A. Arbib, and A. Alexander, Eds.), MIT Press (pdf version)

  5. Fagg, A. H., Lotspeich, D. L., Hoff, J. Bekey, G. A. (1998) Rapid Reinforcement Learning for Reactive Control Policy Design for Autonomous Robots, in Artificial Life in Robotics (T. Shibata and T. Fukuda, Eds.) (pdf version)
  6. Iberall, T., Fagg, A. H. (1996) Neural Network Models for Selecting Hand Shapes, in Hand and Brain: The Neurophysiology and Psychology of Hand Movements (A. M. Wing, P. Haggard, J. R. Flanagan Eds.), pp. 243-264, Academic Press, San Diego, CA

  7. Lewis, M. A., Fagg, A. H., Bekey, G. A. (1994) Genetic Algorithms for Gait Synthesis in a Hexapod Robot, Chapter 11 of Recent Trends in Mobile Robots (Y. Zheng Ed.), pp. 317-331, World Scientific Press

  8. Fagg, A. H. (1993) Reinforcement Learning for Robotic Reaching and Grasping, Chapter 14 of New Perspectives in the Control of the Reach to Grasp Movement (K. M. B. Bennett and U. Castiello, Eds.), pp. 281-308, North Holland Press (pdf version)

  9. Fagg, A. H. (1991) Developmental Robotics : A New Approach to the Specification of Robot Programs, Chapter 26 of Neural Networks in Robotics (G. A. Bekey and K. Y. Goldberg, Eds.), pp. 459-486, Kluwer Academic Publishers

Conference Abstracts and Non-Refereed Conference Papers

  1. Goossaert, E. and Fagg, A. H. (2009), A Corrective Movement Approach to Online Adaptive Decoders (poster), Proceedings of the Spring Meeting on the Neural Control of Movement, electronically published

  2. Hatsopoulos, N. G., Suminksi, A., Tkach, D. and Fagg, A. H. (2009) Augmenting Brain-Machine Interfaces with Proprioceptive Feedback (poster), Proceedings of the Spring Meeting on the Neural Control of Movement, electronically published

  3. Tingle, D.T., Fagg, A.H., Rennaker, R.L. and Zee, M.C. (2008) Decoding Odor from the Piriform Cortex Using a Free-Paced Classifier, Society for Neuroscience Annual Meeting, student poster session

  4. Nemati, S. Fagg, A. H., Hatsopoulos, N., Miller, L. (2007) A Comparison of Linear and Kalman Filter Models for Arm Motion Prediction, Proceedings of the Spring Meeting on the Neural Control of Movement, Electronically Published

  5. Brown, A., Fagg, A. H. (2006), The Bion Sensor Network, Invited talk at Upgrade! International, November 30 - December 3

  6. Shah, A., Barto, A. G., Fagg, A. H. (2006) Biologically-Based Functional Mechanisms of Coarticulation, Proceedings of the Spring Meeting on the Neural Control of Movement, Electronically Published

  7. Goldberg, D., Fagg, A. H., Hatsopoulos, N., Ojakangas, G., Miller, L. (2006) A Kernel-Based Approach to Predicting Arm Motion from MI Activity, Proceedings of the Spring Meeting on the Neural Control of Movement, Electronically Published

  8. Fagg, A. H., Grupen, R. A., Rosenstein, M., and Sweeney, J. (2005), Intent Recognition as a Basis for Imitation Learning in Humanoid Robots, New England Manipulation Symposium, Electronically Published

  9. Fagg, A. H., Rosenstein, M. T., Platt, Jr., R., Grupen, R. A. (2004), Extracting User Intent in Mixed Initiative Teleoperator Control, Proceedings of the American Institute of Aeronautics and Astronautics Intelligent Systems Technical Conference, 2004-6309

  10. Ou, S., Karuppiah, D. R., Fagg, A. H. and Riseman, E. (2004), An Augmented Virtual Reality Interface for Assistive Monitoring of Smart Spaces, Proceedings of the IEEE International Conference on Pervasive Computing and Communications, p. 33. Supporting videos

  11. Fagg, A. H., Ou, S., Hedges, T. R., Brewer, M., Piantedosi M., Amstutz P., Hanson, A., Zhu, Z., Grupen, R., and Riseman, E. (2002), Human-Robot Interaction Through a Distributed Virtual Environment, Proceedings of the Workshop on Intelligent Virtual Environments and Human Augmentation (WIHAVE), Chapel Hill, NC, October 17-19. (pdf version). The full poster is also available.

  12. Shah, A., Fagg, A. H., and Barto, A. G. (2002) A Model of Wrist Movement Representation in Primary Motor Cortex, Proceedings of the Spring Meeting on the Neural Control of Movement, Naples, FL, Electronically Published Full Poster (pdf)

  13. Shah, A., Fagg, A. H., and Barto, A. G. (2001), A Computational Model of Muscle Recruitment for Wrist Movements, Proceedings of the Spring Meeting on the Neural Control of Movement, Sevilla, Spain, Electronically Published

  14. Fagg, A. H., Alamed, B., and Warwick, J. (2001), A Mobile Interactive Tour Guide: An Experiment in Wearable Computing, Five College Multimedia Fair, February 28

  15. Fagg, A. H., Shah, A., Barto, A. G. (2000) A Model of Wrist Movement Representation in Muscle and Primary Motor Cortex presented at the USC Symposium on Computational and Cognitive Neuroscience, Aug. 11-12, Los Angeles, CA

  16. Fagg, A. H., Zelevinsky, L., Barto, A. G., Houk, J. C. (1998) A Pulse-Step Model of Control for Arm Reaching Movements, Proceedings of the Spring Meeting on the Neural Control of Movement

  17. Fagg, A. H., Sitkoff, N., Barto, A. G., Houk, J. C. (1997) A Computational Model of Cerebellar Learning for Limb Control, Proceedings of the Spring Meeting on the Neural Control of Movement

  18. Lewis, M. A., Fagg, A. H., Bekey, G. A. (1994) Evolution of Complex Behaviors in Robotic Systems SPIE's Robotics and Machine Perception Newsletter, March, 3(1), pp. 1-6

  19. Fagg, A. H. (1993) Reinforcement Learning for Robotic Reaching and Grasping, Proceedings of the 1993 USC Workshop on Neural Architectures and Distributed AI: from Schema Assemblages to Neural Networks, Oct. 19-20, Los Angeles, California

  20. Fagg, A. H., Tillery, S. I. H., Terzuolo, C. A. (1992) Motion Velocity Profiles Influence the Perception of Hand Trajectories in the Absence of Vision, Proceedings of the 22nd Meeting of the Society for Neuroscience, October, p. 647.9, Anaheim, California

Workshop and Tutorial Presentations

  1. Platt, Jr., R., Fagg, A. H., Grupen, R. A. (2004), Learning Dexterous Manipulation Skills Using the Control Basis AAAI Fall Symposium on Real-life Reinforcement-Learning, Oct. 22-24

  2. del Pobil, A. P., Fagg, A. H. (2000) Robotics and Neuroscience, Tutorial presented at Intelligent Robots and Systems (IROS), Oct. 31, Takamatsu, Japan

  3. Fagg, A. H., Barto, A. G., Houk, J. C. (1998) Learning to Reach Using Crude Corrective Feedback presented at the NIPS workshop on Movement Primitives: Building Blocks for Learning Motor Control, Dec. 4, Breckenridge, CO

  4. Fagg, A. H., Zelevinsky, L., Barto, A. G., Houk, J. C. (1997) Using Crude Corrective Movements to Learn Accurate Motor Programs for Reaching, presented at the NIPS workshop on Can Artificial Cerebellar Models Compete to Control Robots, Dec. 5, Breckenridge, CO

Invited Talks

  1. Fagg, A. H. (2007), A Structured Approach for Control and Learning of Humanoid Reaching and Grasping Skills Drury University. November 16

  2. Fagg, A. H., Watson, B., Wang, D., Southerland, J. (2006), Whole-Body Contact Sensing, Presentation, Dexterous Robotics Laboratory, NASA/Johnson Space Center, May 22

  3. Fagg, A. H. (2005), Predicting Arm Motion from Motorcortical Activity (talk and lab session), 5th International UJI Summer School on Robotics and Neuroscience, September, 19-23, 2005, Benicassim, Spain

  4. Fagg, A. H. (2001), Wearable Computers: A Changing (Inter)Face of Computing, talk presented at Sandia National Laboratories, Livermore, CA, August 9, 2001

Regional Invited Talks

  1. Fagg, A. H. and McGovern, A. (2006), Pushing the Boundaries: An Interdisciplinary Perspective on Computer Science Southwestern Oklahoma State University, November

  2. Fagg, A. H. (2005), Robot Manipulation, Guest lecture, (RADI 5403; Instructor: Dee Wu) Introduction to Clinical Biomedical Informatics For Quantitative Scientists and Engineers

  3. Fagg, A. H. (2005), Research Experiences for Undergraduates Program, the OU American Indian Science and Engineering Society

  4. Fagg, A. H. (2005), Research Experiences for Undergraduates Program, East Central University

  5. Fagg, A. H. (2005) Research Experiences for Undergraduates Program, Southeastern Oklahoma State University

  6. Fagg, A. H. (2005) Embedded Systems and Machine Learning, Southwestern Oklahoma State University

Technical Reports

  1. Thibodeau, B. J., Fagg, A. H., Levine, B. N. (2004), Signal Strength Coordination for Cooperative Mapping Technical Report #04-64, Department of Computer Science, University of Massachusetts, Amherst

  2. Fagg, A. H. (2000), A Model of Muscle Geometry for a Two Degree-Of-Freedom Planar Arm Technical Report #00-03, Department of Computer Science, University of Massachusetts, Amherst 






































































 






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