R2AD: rapid robotics application development environment. - Andrew H. Fagg; M. Anthony Lewis; Thea Iberall; George A. Bekey (ICRA, 1991)

Genetic programming approach to the construction of a neural network for control of a walking robot. - M. Anthony Lewis; Andrew H. Fagg; Alan Solidum (ICRA, 1992)

A Model of Primate Visual-Motor Conditional Learning. - Andrew H. Fagg; Michael A. Arbib (Adapt. Behav., 1992)

Low level modeling of the development of directionally selective microcircuits in cat striate cortex. - Andrew H. Fagg; József Fiser (ICNN, 1993)

The USC Autonomous Flying Vehicle: An Experiment in Real Time Behavior-Based Control. - M. Anthony Lewis; Andrew H. Fagg; George A. Bekey (ICRA (2), 1993)

The USC autonomous flying vehicle: An experiment in real-time behavior-based control. - Andrew H. Fagg; M. Anthony Lewis; James F. Montgomery; George A. Bekey (IROS, 1993)

A Reinforcement-Learning Approach to Reactive Control Policy Design for Autonomous Robots. - Andrew H. Fagg; David Lotspeich; George A. Bekey (ICRA, 1994)

The USC AFV-I: A Behavior-Based Entry in the 1994 International Aerial Robotics Competition. - James F. Montgomery; Andrew H. Fagg; George A. Bekey (IEEE Expert, 1995)

A model of cerebellar learning for control of arm movements using muscle synergies. - Andrew H. Fagg; Nathan Sitkoff; Andrew G. Barto; James C. Houk (CIRA, 1997)

Cerebellar learning for control of a two-link arm in muscle space. - Andrew H. Fagg; Nathan Sitkoff; Andrew G. Barto; James C. Houk (ICRA, 1997)

Modeling parietal-premotor interactions in primate control of grasping. - Andrew H. Fagg; Michael A. Arbib (Neural Networks, 1998)

A Cerebellar Model of Timing and Prediction in the Control of Reaching. - Andrew G. Barto; Andrew H. Fagg; Nathan Sitkoff; James C. Houk (Neural Comput., 1999)

Tracing Patterns and Attention: Humanoid Robot Cognition. - Luiz Marcos Garcia Gonçalves; Antonio A. F. Oliveira; Roderic A. Grupen; David S. Wheeler; Andrew H. Fagg (IEEE Intell. Syst., 2000)

Wearable Computers as Packet Transport Mechanisms in Highly-Partitioned Ad-Hoc Networks. - James A. Davis; Andrew H. Fagg; Brian Neil Levine (ISWC, 2001)

Real Time Visualization of Robot State with Mobile Virtual Reality. - Peter Amstutz; Andrew H. Fagg (ICRA, 2002)

An experiment in constraining vision-based finger contact selection with gripper geometry. - Antonio Morales; Pedro J. Sanz; Angel P. del Pobil; Andrew H. Fagg (IROS, 2002)

Nullspace composition of control laws for grasping. - Robert Platt Jr. 001; Andrew H. Fagg; Roderic A. Grupen (IROS, 2002)

Learning optimal switching policies for path tracking tasks on a mobile robot. - Yunqing Wang; Bryan J. Thibodeau; Andrew H. Fagg; Roderic A. Grupen (IROS, 2002)

Extending fingertip grasping to whole body grasping. - Robert Platt Jr. 001; Andrew H. Fagg; Roderic A. Grupen (ICRA, 2003)

Experimental prediction of the performance of grasp tasks from visual features. - Antonio Morales; Eris Chinellato; Andrew H. Fagg; Angel Pasqual del Pobil (IROS, 2003)

Robot Learning with Predictions of Operator Intent. - Michael T. Rosenstein; Andrew H. Fagg; Roderic A. Grupen (AAAI Technical Report (5), 2004)

Active Learning for Robot Manipulation. - Antonio Morales; Eris Chinellato; Andrew H. Fagg; Angel P. del Pobil (ECAI, 2004)

Building an autonomous humanoid tool user. - William Bluethmann; Robert O. Ambrose; Myron A. Diftler; Eric Huber; Andrew H. Fagg; Michael T. Rosenstein; Robert Platt Jr. 001; Roderic A. Grupen; Cynthia Breazeal; Andrew G. Brooks; Andrea Lockerd; Richard Alan Peters II; et al. (Humanoids, 2004)

Manipulation Gaits: Sequences of Grasp Control Tasks. - Robert Platt Jr. 001; Andrew H. Fagg; Roderic A. Grupen (ICRA, 2004)

An active learning approach for assessing robot grasp reliability. - Antonio Morales; Eris Chinellato; Andrew H. Fagg; Angel Pasqual del Pobil (IROS, 2004)

An Augmented Virtual Reality Interface for Assistive Monitoring of Smart Spaces. - Shichao Ou; Deepak R. Karuppiah; Andrew H. Fagg; Edward M. Riseman (PerCom, 2004)

Using Experience for Assessing Grasp Reliability. - Antonio Morales; Eris Chinellato; Andrew H. Fagg; Angel P. del Pobil (Int. J. Humanoid Robotics, 2004)

Remote Supervisory Control of a Humanoid Robot. - Michael T. Rosenstein; Andrew H. Fagg; Robert Platt Jr. 001; John Sweeney; Roderic A. Grupen (AAAI, 2005)

Re-using schematic grasping policies. - Robert Platt Jr. 001; Roderic A. Grupen; Andrew H. Fagg (Humanoids, 2005)

User intentions funneled through a human-robot interface. - Michael T. Rosenstein; Andrew H. Fagg; Shichao Ou; Roderic A. Grupen (IUI, 2005)

A Framework for Learning and Control in Intelligent Humanoid Robots. - Oliver Brock; Andrew H. Fagg; Roderic A. Grupen; Robert Platt Jr. 001; Michael T. Rosenstein; John Sweeney (Int. J. Humanoid Robotics, 2005)

Learning Grasp Context Distinctions that Generalize. - Robert Platt Jr. 001; Roderic A. Grupen; Andrew H. Fagg (Humanoids, 2006)

Is it alive? sensor networks and art. - Adam Brown; Andrew H. Fagg (SIGGRAPH Sketches, 2006)

Bion. - Adam Brown; Andrew H. Fagg (SIGGRAPH Art Gallery, 2006)

Vision-based three-finger grasp synthesis constrained by hand geometry. - Antonio Morales; Pedro J. Sanz; Angel P. del Pobil; Andrew H. Fagg (Robotics Auton. Syst., 2006)

Spatio-temporal Multi-dimensional Relational Framework Trees. - Matthew Bodenhamer; Samuel Bleckley; Daniel Fennelly; Andrew H. Fagg; Amy McGovern (ICDM Workshops, 2009)

Learning grasp affordances with variable centroid offsets. - Thomas J. Palmer; Andrew H. Fagg (IROS, 2009)

Application Of Reinforcement Learning In Multisensor Fusion Problems With Conflicting Control Objectives. - Shichao Ou; Andrew H. Fagg; Prashant J. Shenoy; Liancheng Chen (Intell. Autom. Soft Comput., 2009)

Null-Space Grasp Control: Theory and Experiments. - Robert Platt Jr. 001; Andrew H. Fagg; Roderic A. Grupen (IEEE Trans. Robotics, 2010)

Continuous decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. - Aaron J. Suminski; Francis R. Willett; Andrew H. Fagg; Matthew Bodenhamer; Nicholas G. Hatsopoulos (EMBC, 2011)

Compensating for delays in brain-machine interfaces by decoding intended future movement. - Francis R. Willett; Aaron J. Suminski; Andrew H. Fagg; Nicholas G. Hatsopoulos (EMBC, 2012)

Learning to predict action outcomes in continuous, relational environments. - Thomas J. Palmer; Matthew Bodenhamer; Andrew H. Fagg (ICDL-EPIROB, 2012)

Operant conditioning of a multiple degree-of-freedom brain-machine interface in a primate model of amputation. - Karthikeyan Balasubramanian; Joshua Southerland; Mukta Vaidya; Kai Qian; Ahmed Eleryan; Andrew H. Fagg; Marc W. Slutzky; Karim G. Oweiss; Nicholas G. Hatsopoulos (EMBC, 2013)

Online adaptive decoding of intended movements with a hybrid kinetic and kinematic brain machine interface. - Aaron J. Suminski; Andrew H. Fagg; Francis R. Willett; Matthew Bodenhamer; Nicholas G. Hatsopoulos (EMBC, 2013)

Differences in motor cortical representations of kinematic variables between action observation and action execution and implications for brain-machine interfaces. - Francis R. Willett; Aaron J. Suminski; Andrew H. Fagg; Nicholas G. Hatsopoulos (EMBC, 2014)

Robotic Crawling Assistance for Infants with Cerebral Palsy. - David P. Miller; Andrew H. Fagg; Lei Ding 004; Thubi H. A. Kolobe; Mustafa A. Ghazi (AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2015)

Spectra of infant EEG within the first year of life: A pilot study. - Ran Xiao; Xiao Qi; Andrew H. Fagg; Thubi H. A. Kolobe; David P. Miller; Lei Ding 004 (EMBC, 2015)

Novel Assistive Device for Teaching Crawling Skills to Infants. - Mustafa A. Ghazi; Michael D. Nash; Andrew H. Fagg; Lei Ding 004; Thubi H. A. Kolobe; David P. Miller (FSR, 2015)

Dynamic spatio-spectral patterns of rhythmic EEG in infants. - Alejandro Patino 002; Andrew H. Fagg; Thubi H. A. Kolobe; David P. Miller; Lei Ding 004 (NER, 2017)

Characterization of infant mu rhythm immediately before crawling: A high-resolution EEG study. - Ran Xiao; Xiao Qi; Alejandro Patino 002; Andrew H. Fagg; Thubi H. A. Kolobe; David P. Miller; Lei Ding 004 (NeuroImage, 2017)

The Impact of Cognition on Motor Learning and Skill Acquisition Using a Robot Intervention in Infants With Cerebral Palsy. - Raghuveer Chandrashekhar; Hongwu Wang; Josiah Rippetoe; Shirley A. James; Andrew H. Fagg; Thubi H. A. Kolobe (Frontiers Robotics AI, 2022)

AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. - 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 (AI Mag., 2024)