Publications

  • Gaetano Evangelista, Chase Carthen, Hao Xu, Richard Kelley, “Calibration of a Municipal-Scale Lidar Network Using An Autonomous Car.” 2024 (expected).

  • Gaetano Evangelista, Ziru Wang, Hao Xu, Richard Kelley, “Real-time Traffic Infrastructure Monitoring using Digital Twins Constructed via Lidar-Inertial Odometry,” 2024 (expected).

  • Eric Duong, Jamie Poston, Richard Kelley, “Predicting Agents’ Trajectories by Estimating Their Motion Planners,” RSS 2020 Workshop on Interaction and Decision-Making in Autonomous Driving. 2020.

  • Janelle Blankenburg, Richard Kelley, David Feil-Seifer, Rui Wu, Lee Barford, Fred Harris, “Towards GPU-Accelerated PRM for Autonomous Navigation,” International Conference on Information Technology: New Generations. 2020.

  • Houston Lucas, Richard Kelley, “Generating Control Policies for Autonomous Vehicles Using Neural ODEs,” Workshop on Integration of Deep Neural Models and Differential Equations, International Conference on Learning Representations. 2020.

  • Karla Wagner, Robert Harding, Richard Kelley, Brian Labus, Silvia Verdugo, Elizabeth Copulsky, Jeanette Bowles, Maria Luisa Mittal, Peter Davidson, “Post-overdose interventions triggered by calling 911: Centering the perspectives of people who use drugs (PWUDs),” PLOS One. 2019.

  • Blanca Miller, Richard Kelley. Inverse Reinforcement Learning for Model Predictive Control of a Self-Driving Car. WiML Workshop. 2018.

  • Chase Carthen, Richard Kelley, Chris Ruggieri, Sergiu Dascalu, Justice Colby, Fred Harris. MUSE: A Music Conducting Recognition System. Information Technology - New Generations. Advances in Intelligent Systems and Computing. 2017.

  • Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Mohammad Taghi Saffar, Richard Kelley. A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks. Neural Processing Letters. 2016.

  • Richard Kelley, “Sequence Modeling with Recurrent Tensor Networks,” openreview.net. 2016.

  • Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu. An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks. Journal of Intelligent and Robotic Systems. 2015.

  • Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley. A biologically inspired approach to learning spatio-temporal patterns. International Conference on Developmental Learning and on Epigenetic Robotics. 2015.

  • Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley. Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks. International Joint Conference on Neural Networks. 2015.

  • Vinh Le, Melanie Neff, Royal Stewart, Richard Kelley, Eric Fritzinger, Sergiu Dascalu, Frederick Harris Jr. Microservice-based architecture for the NRDC. International Conference on Industrial Informatics. 2015.

  • Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu. Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity. International Conference on Artificial General Intelligence. 2014.

  • Richard Kelley, Alireza Tavakkoli, Chris King, Amol Ambardekar, Liesl Wigand, Mircea Nicolescu and Monica Nicolescu. Intent Recognition for Human-Robot Interaction. Plan, Activity, and Intent Recognition. 2013.

  • Damien Ennis, Ann Medaille, Theodore Lambert, Richard Kelley Frederick C. Harris. A comparison of academic libraries: an analysis using a self‐organizing map. Performance Measurement and Metrics. 2013.

  • Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu. Context-Based Bayesian Intent Recognition. IEEE Transactions on Autonomous Mental Development. 2012.

  • Richard Kelley, Liesl Wigand, Brian Hamilton, Katie Browne, Monica N. Nicolescu, Mircea Nicolescu. Deep networks for predicting human intent with respect to objects. International Conference on Human-Robot Interaction. 2012.

  • Lee Barford, Ivan Gibbs, Richard Kelley. Toward Real-Time Kernel Density Estimate Display for Instrumentation. IEEE Instrumentation and Measurement Technology Conference. 2011.

  • Richard Kelley, Amol Ambardekar, Liesl Wigand, Mircea Nicolescu, Monica Nicolescu. Point Clouds and Range Images for Intent Recognition and Human-Robot Interaction. Robotics: Science and Systems RGB-D Workshop: Advanced Reasoning with Depth Cameras. 2011.

  • Thomas Kollar, Astrid Weiss, Jason Monast, Anja Austermann, David Lu, Mitesh Patel, Elena Gribovskaya, Chandan Datta, Richard Kelley, Hirotaka Osawa, Lanny Lin. HRI Pioneers Workshop. 2011.

  • Richard Kelley, Enrique Schaerer, Micaela Gomez, Monica N. Nicolescu. Liability in Robotics: An International Perspective on Robots as Animals. Advanced Robotics. 2010.

  • Richard Kelley, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli. Integrating Context into Intent Recognition Systems. International Conference on Informatics in Control, Automation, and Robotics. 2010.

  • Richard Kelley, Alireza Tavakkoli, Chris King, Mircea Nicolescu, Monica Nicolescu. Understanding Activities and Intentions for Human-Robot Interaction. Advances in Human-Robot Interaction. 2009.

  • Richard Kelley, Mircea Nicolescu, Monica Nicolescu, Sushil Louis. An Evolutionary Approach to Maximum Likelihood Estimation for Generative Stochastic Models. Proceedings of the 40th International Symposium on Robotics. 2009.

  • Richard Kelley, Monica N. Nicolescu, Mircea Nicolescu. Grammar-based robot control. International Conference on Autonomous Agents and Multiagent Systems. 2009.

  • Enrique Schaerer, Richard Kelley, Monica N. Nicolescu. Robots as animals: A framework for liability and responsibility in human-robot interactions. International Symposium on Robot and Human Interactive Communication. 2009.

  • Richard Kelley, Christopher King, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu, George Bebis. An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation. International Journal of Humanoid Robotics. 2008.

  • Richard Kelley, Alireza Tavakkoli, Christopher King, Monica N. Nicolescu, Mircea Nicolescu, George Bebis. Understanding human intentions via hidden markov models in autonomous mobile robots. International Conference on Human-Robot Interaction. 2008.

  • Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis. A Visual Tracking Framework for Intent Recognition in Videos. International Symposium on Visual Computing. 2008.

  • Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis. A Vision-Based Architecture for Intent Recognition. International Symposium on Visual Computing. 2007.