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M.S. Thesis Defense: Michael Kuhlman
Wednesday, August 1, 2012
1:00 p.m.
Room 2328, AVW Bldg.
For More Information:
Maria Hoo
301 405 3681

ANNOUNCEMENT: M.S. Thesis Defense

Name: Michael Kuhlman

Date: Wednesday, August 1, 2012 at 1:00pm

Location: Room 2328, A.V. Williams


Professor Pamela Abshire, Chair/Adviser

Professor Sarah Bergbreiter

Professor Timothy Horiuchi

Professor P.S. Krishnaprasad

Professor Nuno Martins

Title: Mixed-Signal Sensing, Estimation and Control for Miniature Robotics


Control of miniature mobile robots in unconstrained environments is an ongoing challenge. Miniature robots often exhibit nonlinear dynamics and obstacle avoidance introduces significant complexity in the control problem. In order to allow for coordinated movements, the robots must know their location relative to the other robots; this is challenging for very small robots operating under severe power and size constraints . This drastically reducing on-board digital processing power and suggests the need for a robust, compact distance sensor and mixed-signal control system using Extended Kalman Filtering and Randomized Receding Horizon Control to support decentralized coordination of autonomous mini-robots. Error analysis of the sensor suggests that system clock timing jitter is the dominant contributor for sensor measurement uncertainty. Techniques for system identification of model parameters and the design of a mixed-signal computer for mobile robot position estimation are presented.

This Event is For: Graduate • Faculty

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