Grants per year
Personal profile
Research Interests
Professor Murphey's research focuses on computational methods in data-driven control, information theory in physical systems, and embodied intelligence. Example projects include robotic exploration using electrosense, robotic exploration using mechanical contact, human-in-the-loop control, and shared control for rehabilitation/assistive devices.
Education/Academic qualification
Control and Dynamical Systems, PhD, California Institute of Technology
… → 2002
Mathematics, BS, University of Arizona
Research interests
- Modeling and control of complex mechanisms
- Puppets
- Robotics
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Grants
Formal Foundations of Algorithmic Matter and Emergent Computation
Georgia Institute of Technology, Army Research Office
7/1/19 → 6/30/26
Project: Research project
CPS: Medium: Information based Control of Cyber-Physical Systems operating in uncertain environments
Argall, B. D. & Murphey, T. D.
9/15/18 → 8/31/21
Project: Research project
RI: Small: Collaborative Research: Information-driven Autonomous Exploration in Uncertain Underwater Environments
9/1/17 → 8/31/20
Project: Research project
Stability and Optimality Properties of Sequential Action Control for Nonlinear and Hybrid Systems
8/1/17 → 7/31/20
Project: Research project
NRI: Task-Based Assistance for Software-Enabled Biomedical Devices
9/1/16 → 8/31/20
Project: Research project
Research Output
Experimental applications of the koopman operator in active learning for control
Berrueta, T. A., Abraham, I. & Murphey, T., Jan 1 2020, Lecture Notes in Control and Information Sciences. Springer, p. 421-450 30 p. (Lecture Notes in Control and Information Sciences; vol. 484).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators
Abraham, I. & Murphey, T. D., Oct 2019, In : IEEE Transactions on Robotics. 35, 5, p. 1071-1083 13 p., 8759089.Research output: Contribution to journal › Article
2
Scopus
citations
Adaptive single action control policies for linearly parameterized systems ∗
Ennasr, O., Mamakoukas, G., Castaño, M., Coleman, D., Murphey, T. & Tan, X., Jan 1 2019, Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing. American Society of Mechanical Engineers (ASME), V001T02A004. (ASME 2019 Dynamic Systems and Control Conference, DSCC 2019; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Data-driven gait segmentation for walking assistance in a lower-limb assistive device
Kalinowska, A., Berrueta, T. A., Zoss, A. & Murphey, T., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 1390-1396 7 p. 8794416. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Dynamical system segmentation for information measures in motion
Berrueta, T. A., Pervan, A., Fitzsimons, K. & Murphey, T. D., Jan 1 2019, In : IEEE Robotics and Automation Letters. 4, 1, p. 169-176 8 p., 8552420.Research output: Contribution to journal › Article
1
Scopus
citations