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Personal profile

Education/Academic qualification

Control and Dynamical Systems, PhD, California Institute of Technology

… → 2002

Mathematics (summa cum laude), BS, University of Arizona

Research interests

  • Modeling and control of complex mechanisms
  • Puppets
  • Robotics

Fingerprint Dive into the research topics where Todd David Murphey is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Trajectories Engineering & Materials Science
Robotics Engineering & Materials Science
Mechanics Engineering & Materials Science
Kinematics Engineering & Materials Science
Robots Engineering & Materials Science
Controllers Engineering & Materials Science
Feedback Engineering & Materials Science
Nonlinear systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2008 2026

Learning systems
Communication
Uncertainty
Interfaces (computer)
Haptic interfaces
Touch screens
Virtual reality
Hybrid systems
Nonlinear systems
Lie groups
Museums
Students

Research Output 2000 2019

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 journalArticle

Controllers
Robotics
Problem-Based Learning
Mathematical operators
Nonlinear systems

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 proceedingConference contribution

Gliders
Controllers
Needles
Parameter estimation
Fish

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 proceedingConference contribution

Contact sensors
Hoppers
Model predictive control
Hybrid systems
Patient rehabilitation

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 journalArticle

Information Measure
Dynamical systems
Segmentation
Dynamical system
Embodiment

Ergodicity reveals assistance and learning from physical human-robot interaction

Fitzsimons, K., Acosta, A. M., Dewald, J. P. A. & Murphey, T. D., Apr 10 2019, In : Science Robotics. 4, 29, eaav6079.

Research output: Contribution to journalArticle

Human-robot Interaction
Human robot interaction
Ergodicity
Robotics
Demonstrations