JPL Robotics: People: Michael Wolf

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Member of:
3475
Advanced Robotic Controls Group

Michael Wolf
Member of Technical Staff
(Full description>>)

Biography (more>>)

Michael Wolf is a researcher in the Advanced Robotics Controls group at JPL. His current work includes algorithm development for path planning, biosignal interpretation, and target tracking, with a focus on probabilistic methods.

Dr. Wolf earned his PhD in the robotics laboratory at Caltech, where he collaborated with neuroscientists to originate new methods to autonomously acquire and track neuronal signals. He also conducted research on navigation and obstacle avoidance for semi-autonomous automobiles. Prior to his graduate work, Dr. Wolf gained six years' experience in product management and business development at Silicon Valley software companies.

Education (more>>)

* PhD in Mechanical Engineering, California Institute of Technology, 2008
* MS in Mechanical Engineering, California Institute of Technology, 2003
* BS in Mechanical Engineering, Stanford University, 1997

Professional Experience (more>>)

* Researcher in JPL's Advanced Robotics Controls Group since 2008.
* Six years experience in technical consulting, product management, and business development for enterprise software companies.

Research Interests (more>>)

* Medical robotics and neuroprosthetics
* Assistive and rehabilitative robotics
* Biological signal analysis and interpretation
* Robot path planning and obstacle avoidance
* Multitarget tracking
* Model identification and parameter estimation

Selected Publications (more>>)

Michael T Wolf, Jorge G Cham, Edward A Branchaud, Grant H Mulliken, Richard A Andersen, and Joel W Burdick, "A Robotic Neural Interface for Autonomous Positioning of Extracellular Recording Electrodes," Intl Journal of Robotics Research (to appear), June 2009.

Michael T Wolf and Joel W Burdick, "Multiple Hypothesis Tracking Using Clustered Measurements," IEEE Intl Conf on Robotics and Automation (to appear), May 2009.

Michael T Wolf and Joel W Burdick, "Bayesian Clustering and Tracking of Neuronal Signals for Autonomous Neural Interfaces," IEEE Conf on Decision and Control, December 2008.

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