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2020 – today
- 2024
[j13]Amy McGovern
, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz:
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Mag. 45(1): 105-110 (2024)- 2022
- [j12]Raghuveer Chandrashekhar, Hongwu Wang, Josiah Rippetoe, Shirley A. James, Andrew H. Fagg, Thubi H. A. Kolobe:
The Impact of Cognition on Motor Learning and Skill Acquisition Using a Robot Intervention in Infants With Cerebral Palsy. Frontiers Robotics AI 9: 805258 (2022)
2010 – 2019
- 2017
- [j11]Ran Xiao, Xiao Qi, Alejandro Patino, Andrew H. Fagg, Thubi H. A. Kolobe, David P. Miller, Lei Ding:
Characterization of infant mu rhythm immediately before crawling: A high-resolution EEG study. NeuroImage 146: 47-57 (2017) - [c39]Alejandro Patino, Andrew H. Fagg, Thubi H. A. Kolobe, David P. Miller, Lei Ding:
Dynamic spatio-spectral patterns of rhythmic EEG in infants. NER 2017: 621-624 - 2015
- [c38]David P. Miller, Andrew H. Fagg, Lei Ding, Thubi H. A. Kolobe, Mustafa A. Ghazi:
Robotic Crawling Assistance for Infants with Cerebral Palsy. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments 2015 - [c37]Ran Xiao, Xiao Qi, Andrew H. Fagg, Thubi H. A. Kolobe, David P. Miller, Lei Ding:
Spectra of infant EEG within the first year of life: A pilot study. EMBC 2015: 4753-4756 - [c36]Mustafa A. Ghazi, Michael D. Nash, Andrew H. Fagg, Lei Ding, Thubi H. A. Kolobe, David P. Miller:
Novel Assistive Device for Teaching Crawling Skills to Infants. FSR 2015: 593-605 - 2014
- [c35]Francis R. Willett, Aaron J. Suminski, Andrew H. Fagg, Nicholas G. Hatsopoulos:
Differences in motor cortical representations of kinematic variables between action observation and action execution and implications for brain-machine interfaces. EMBC 2014: 1334-1337 - 2013
- [c34]Karthikeyan Balasubramanian, Joshua Southerland, Mukta Vaidya, Kai Qian, Ahmed Eleryan, Andrew H. Fagg, Marc W. Slutzky, Karim G. Oweiss, Nicholas G. Hatsopoulos:
Operant conditioning of a multiple degree-of-freedom brain-machine interface in a primate model of amputation. EMBC 2013: 303-306 - [c33]Aaron J. Suminski, Andrew H. Fagg, Francis R. Willett, Matthew Bodenhamer, Nicholas G. Hatsopoulos:
Online adaptive decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. EMBC 2013: 1583-1586 - 2012
- [c32]Francis R. Willett, Aaron J. Suminski, Andrew H. Fagg, Nicholas G. Hatsopoulos:
Compensating for delays in brain-machine interfaces by decoding intended future movement. EMBC 2012: 4087-4090 - [c31]Thomas J. Palmer, Matthew Bodenhamer, Andrew H. Fagg:
Learning to predict action outcomes in continuous, relational environments. ICDL-EPIROB 2012: 1-7 - 2011
- [c30]Aaron J. Suminski, Francis R. Willett, Andrew H. Fagg, Matthew Bodenhamer, Nicholas G. Hatsopoulos:
Continuous decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. EMBC 2011: 5802-5806 - 2010
- [j10]Robert Platt Jr., Andrew H. Fagg, Roderic A. Grupen:
Null-Space Grasp Control: Theory and Experiments. IEEE Trans. Robotics 26(2): 282-295 (2010)
2000 – 2009
- 2009
- [j9]Shichao Ou, Andrew H. Fagg, Prashant J. Shenoy, Liancheng Chen:
Application Of Reinforcement Learning In Multisensor Fusion Problems With Conflicting Control Objectives. Intell. Autom. Soft Comput. 15(2): 223-235 (2009) - [c29]Matthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew H. Fagg, Amy McGovern:
Spatio-temporal Multi-dimensional Relational Framework Trees. ICDM Workshops 2009: 564-570 - [c28]Thomas J. Palmer, Andrew H. Fagg:
Learning grasp affordances with variable centroid offsets. IROS 2009: 1265-1271 - 2006
- [j8]Antonio Morales, Pedro J. Sanz, Angel P. del Pobil, Andrew H. Fagg:
Vision-based three-finger grasp synthesis constrained by hand geometry. Robotics Auton. Syst. 54(6): 496-512 (2006) - [c27]Robert Platt Jr., Roderic A. Grupen, Andrew H. Fagg:
Learning Grasp Context Distinctions that Generalize. Humanoids 2006: 504-511 - [c26]Adam Brown, Andrew H. Fagg:
Is it alive? sensor networks and art. SIGGRAPH Sketches 2006: 22 - [c25]Adam Brown, Andrew H. Fagg:
Bion. SIGGRAPH Art Gallery 2006: 29 - 2005
- [j7]Oliver Brock, Andrew H. Fagg, Roderic A. Grupen, Robert Platt Jr., Michael T. Rosenstein, John Sweeney:
A Framework for Learning and Control in Intelligent Humanoid Robots. Int. J. Humanoid Robotics 2(3): 301-336 (2005) - [c24]Michael T. Rosenstein, Andrew H. Fagg, Robert Platt Jr., John Sweeney, Roderic A. Grupen:
Remote Supervisory Control of a Humanoid Robot. AAAI 2005: 1702-1703 - [c23]Robert Platt Jr., Roderic A. Grupen, Andrew H. Fagg:
Re-using schematic grasping policies. Humanoids 2005: 141-147 - [c22]Michael T. Rosenstein, Andrew H. Fagg, Shichao Ou, Roderic A. Grupen:
User intentions funneled through a human-robot interface. IUI 2005: 257-259 - 2004
- [j6]Antonio Morales, Eris Chinellato, Andrew H. Fagg, Angel P. del Pobil:
Using Experience for Assessing Grasp Reliability. Int. J. Humanoid Robotics 1(4): 671-691 (2004) - [c21]Michael T. Rosenstein, Andrew H. Fagg, Roderic A. Grupen:
Robot Learning with Predictions of Operator Intent. AAAI Technical Report (5) 2004: 107-108 - [c20]Antonio Morales, Eris Chinellato, Andrew H. Fagg, Angel P. del Pobil:
Active Learning for Robot Manipulation. ECAI 2004: 905-909 - [c19]William Bluethmann, Robert O. Ambrose, Myron A. Diftler, Eric Huber, Andrew H. Fagg, Michael T. Rosenstein, Robert Platt Jr., Roderic A. Grupen, Cynthia Breazeal, Andrew G. Brooks, Andrea Lockerd, Richard Alan Peters II, Odest Chadwicke Jenkins, Maja J. Mataric, Magdalena D. Bugajska:
Building an autonomous humanoid tool user. Humanoids 2004: 402-421 - [c18]Robert Platt Jr., Andrew H. Fagg, Roderic A. Grupen:
Manipulation Gaits: Sequences of Grasp Control Tasks. ICRA 2004: 801-806 - [c17]Antonio Morales, Eris Chinellato, Andrew H. Fagg, Angel Pasqual del Pobil:
An active learning approach for assessing robot grasp reliability. IROS 2004: 485-490 - [c16]Shichao Ou, Deepak R. Karuppiah, Andrew H. Fagg, Edward M. Riseman:
An Augmented Virtual Reality Interface for Assistive Monitoring of Smart Spaces. PerCom 2004: 33-42 - 2003
- [c15]Robert Platt Jr., Andrew H. Fagg, Roderic A. Grupen:
Extending fingertip grasping to whole body grasping. ICRA 2003: 2677-2682 - [c14]Antonio Morales, Eris Chinellato, Andrew H. Fagg, Angel Pasqual del Pobil:
Experimental prediction of the performance of grasp tasks from visual features. IROS 2003: 3423-3428 - 2002
- [c13]Peter Amstutz, Andrew H. Fagg:
Real Time Visualization of Robot State with Mobile Virtual Reality. ICRA 2002: 241-247 - [c12]Yunqing Wang, Bryan J. Thibodeau, Andrew H. Fagg, Roderic A. Grupen:
Learning optimal switching policies for path tracking tasks on a mobile robot. IROS 2002: 915-920 - [c11]Antonio Morales, Pedro J. Sanz, Angel P. del Pobil, Andrew H. Fagg:
An experiment in constraining vision-based finger contact selection with gripper geometry. IROS 2002: 1693-1698 - [c10]Robert Platt Jr., Andrew H. Fagg, Roderic A. Grupen:
Nullspace composition of control laws for grasping. IROS 2002: 1717-1723 - 2001
- [c9]James A. Davis, Andrew H. Fagg, Brian Neil Levine:
Wearable Computers as Packet Transport Mechanisms in Highly-Partitioned Ad-Hoc Networks. ISWC 2001: 141-148 - 2000
- [j5]Luiz Marcos Garcia Gonçalves, Antonio A. F. Oliveira, Roderic A. Grupen, David S. Wheeler, Andrew H. Fagg:
Tracing Patterns and Attention: Humanoid Robot Cognition. IEEE Intell. Syst. 15(4): 70-77 (2000)
1990 – 1999
- 1999
- [j4]Andrew G. Barto, Andrew H. Fagg, Nathan Sitkoff, James C. Houk:
A Cerebellar Model of Timing and Prediction in the Control of Reaching. Neural Comput. 11(3): 565-594 (1999) - 1998
- [j3]Andrew H. Fagg, Michael A. Arbib:
Modeling parietal-premotor interactions in primate control of grasping. Neural Networks 11(7-8): 1277-1303 (1998) - 1997
- [c8]Andrew H. Fagg, Nathan Sitkoff, Andrew G. Barto, James C. Houk:
A model of cerebellar learning for control of arm movements using muscle synergies. CIRA 1997: 6-12 - [c7]Andrew H. Fagg, Nathan Sitkoff, Andrew G. Barto, James C. Houk:
Cerebellar learning for control of a two-link arm in muscle space. ICRA 1997: 2638-2644 - 1995
- [j2]James F. Montgomery, Andrew H. Fagg, George A. Bekey:
The USC AFV-I: A Behavior-Based Entry in the 1994 International Aerial Robotics Competition. IEEE Expert 10(2): 16-22 (1995) - 1994
- [c6]Andrew H. Fagg, David Lotspeich, George A. Bekey:
A Reinforcement-Learning Approach to Reactive Control Policy Design for Autonomous Robots. ICRA 1994: 39-44 - 1993
- [c5]Andrew H. Fagg, József Fiser:
Low level modeling of the development of directionally selective microcircuits in cat striate cortex. ICNN 1993: 772-777 - [c4]M. Anthony Lewis, Andrew H. Fagg, George A. Bekey:
The USC Autonomous Flying Vehicle: An Experiment in Real Time Behavior-Based Control. ICRA (2) 1993: 422-429 - [c3]Andrew H. Fagg, M. Anthony Lewis, James F. Montgomery, George A. Bekey:
The USC autonomous flying vehicle: An experiment in real-time behavior-based control. IROS 1993: 1173-1180 - 1992
- [j1]Andrew H. Fagg, Michael A. Arbib:
A Model of Primate Visual-Motor Conditional Learning. Adapt. Behav. 1(1): 3-37 (1992) - [c2]M. Anthony Lewis, Andrew H. Fagg, Alan Solidum:
Genetic programming approach to the construction of a neural network for control of a walking robot. ICRA 1992: 2618-2623 - 1991
- [c1]Andrew H. Fagg, M. Anthony Lewis, Thea Iberall, George A. Bekey:
R2AD: rapid robotics application development environment. ICRA 1991: 1420-1426
Coauthor Index
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