C. Crick

发表

Intention-based Robot Control in Social Games

B. Scassellati, C. Crick, 2009 .

Human aware UAS path planning in urban environments using nonstationary MDPs

Jonathan P. How, Girish Chowdhary, Weihua Sheng, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Rosbridge: ROS for Non-ROS Users

Odest Chadwicke Jenkins, Sarah Osentoski, Benjamin Pitzer, 2011, ISRR.

Robots as web services: Reproducible experimentation and application development using rosjs

Odest Chadwicke Jenkins, Sarah Osentoski, Benjamin Pitzer, 2011, 2011 IEEE International Conference on Robotics and Automation.

Mutual Reinforcement Learning pdf

Sayanti Roy, Christopher Crick, Emily Kieson, 2019, ArXiv.

PR2 Remote Lab: An environment for remote development and experimentation

Odest Chadwicke Jenkins, Sarah Osentoski, Benjamin Pitzer, 2012, 2012 IEEE International Conference on Robotics and Automation.

Robotic vocabulary building using extension inference and implicit contrast

Brian Scassellati, Marek W. Doniec, Kevin Gold, 2009, Artificial Intelligence.

Who is IT? Inferring role and intent from agent motion

B. Scassellati, C. Crick, M. Doniec, 2007, 2007 IEEE 6th International Conference on Development and Learning.

A COMPARATIVE STUDY OF THE PERFORMANCE OF REAL-TIME INVERSE LIGHTING WITH MATTE, SEMI-GLOSS AND GLOSS

C. Crick, B. Mayfield, 2020 .

Social Development

Brian Scassellati, Ganghua Sun, Kevin Gold, 2022, The SAGE Encyclopedia of Human Communication Sciences and Disorders.

Does context predict psychological states and activity? An ecological momentary assessment pilot study of adolescents

Carolina M. Bejarano, C. Crick, Christopher C. Cushing, 2019, Psychology of Sport and Exercise.

Integrating small Unmanned Air-Craft Systems (sUAS) into Meteorology and Atmospheric Science: Challenges and Opportunities for GIScience

Adam J. Mathews, Amy E. Frazier, Benjamin L. Hemingway, 2017 .

Data generated during the 2018 LAPSE-RATE campaign: an introduction and overview

Elizabeth A. Pillar-Little, Amy E. Frazier, D. Lawrence, 2020, Earth System Science Data.

Robots Can Train Humans Using Principles of Operant Conditioning Through Visual Reinforcement Tools

C. Crick, E. Kieson, C. Abramson, 2018 .

An Investigation on the Role of Affordance in the Design of Extended Reality based Environments for Surgical Training

S. Kennison, C. Crick, M. Pirela-Cruz, 2022, 2022 IEEE International Systems Conference (SysCon).

The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study

C. Crick, Christopher C. Cushing, Erin E Brannon, 2016, Translational behavioral medicine.

Sub-grid scale model classification and blending through deep learning

Jamey D. Jacob, Omer San, Romit Maulik, 2018, Journal of Fluid Mechanics.

Bidirectional Associations Between Psychological States and Physical Activity in Adolescents: A mHealth Pilot Study

Carolina M. Bejarano, C. Crick, Christopher C. Cushing, 2017, Journal of pediatric psychology.

Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study

Akash Gupta, Tieming Liu, Christopher Crick, 2020, Statistical methods in medical research.

Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign

Shane D. Ross, David G. Schmale, Jamey D. Jacob, 2019, Sensors.

Mutual Reinforcement Learning with Robot Trainers

Sayanti Roy, Christopher Crick, Emily Kieson, 2019, 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Social development [robots]

C. Crick, B. Scassellati, Ganghua Sun, 2006, IEEE Computational Intelligence Magazine.

Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Examples

Lars Linsen, Angus Graeme Forbes, Jose Gustavo Paiva, 2015, VISIGRAPP.

A User-centric Taxonomy for Multidimensional Data Projection Tasks

Lars Linsen, Angus G. Forbes, Ronak Etemadpour, 2015, IVAPP.

A Junction Tree Propagation Algorithm for Bayesian Networks with Second-Order Uncertainties

Weihong Zhang, Avi Pfeffer, Christopher Crick, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

Goal feedback from whom? A physical activity intervention using an N-of-1 RCT

C. Crick, Christopher C. Cushing, R. Walters, 2018, Psychology & health.

Intentions and intention recognition in intelligent agents

Gary Berg-Cross, Christopher Crick, C. Crick, 2010, PerMIS.

Inferring narrative and intention from playground games

B. Scassellati, C. Crick, 2008, 2008 7th IEEE International Conference on Development and Learning.

Remote Robotic Laboratories for Learning from Demonstration

Daniel H. Grollman, Odest Chadwicke Jenkins, Sarah Osentoski, 2012, Int. J. Soc. Robotics.

Controlling a Robot with Intention Derived from Motion

Brian Scassellati, Christopher Crick, B. Scassellati, 2010, Top. Cogn. Sci..

Latent Variable Mixture Modeling of Ecological Momentary Assessment Data: Implications for Screening and Adolescent Mood Profiles

Carolina M. Bejarano, C. Crick, Christopher C. Cushing, 2017 .

Apoptosis, neurogenesis, and information content in Hebbian networks

Willard L. Miranker, Christopher Crick, W. Miranker, 2005, Biological Cybernetics.

Loopy Belief Propagation as a Basis for Communication in Sensor Networks

Avi Pfeffer, Christopher Crick, A. Pfeffer, 2002, UAI.

Gesture Recognition Using Reflected Visible and Infrared Lightwave Signals

Sabit Ekin, Li Yu, John F. O'Hara, 2020, IEEE Transactions on Human-Machine Systems.

Using Human Reinforcement Learning Models to Improve Robots as Teachers

Sayanti Roy, Christopher Crick, Emily Kieson, 2018, HRI.

Human and robot perception in large-scale learning from demonstration

Odest Chadwicke Jenkins, Sarah Osentoski, Christopher Crick, 2011, 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Automated assembly skill acquisition and implementation through human demonstration

Weihua Sheng, Yongsheng Ou, Ye Gu, 2018, Robotics Auton. Syst..

Hadoop Image Processing Framework

Christopher Crick, Sridhar Vemula, C. Crick, 2015, 2015 IEEE International Congress on Big Data.

Development of Community, Capabilities, and Understanding through Unmanned Aircraft-Based Atmospheric Research: The LAPSE-RATE Campaign

David G. Schmale, Jamey Jacob, Amy Frazier, 2020, Bulletin of the American Meteorological Society.

Synchronization in Social Tasks: Robotic Drumming

Brian Scassellati, Christopher Crick, Matthew Munz, 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.