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Daniel Montrallo Flickinger

Researcher at University of Texas at Arlington

Publications -  12
Citations -  339

Daniel Montrallo Flickinger is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Dissipation & Testbed. The author has an hindex of 6, co-authored 12 publications receiving 332 citations. Previous affiliations of Daniel Montrallo Flickinger include University of Notre Dame & University of Utah.

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Proceedings ArticleDOI

Mobile Emulab: A Robotic Wireless and Sensor Network Testbed

TL;DR: This work has extended the Emulab network testbed software to provide the first remotely-accessible mobile wireless and sensor testbed, and presents the design and implementation, and evaluates key aspects of its performance.
Journal ArticleDOI

Simultaneous oblique impacts and contacts in multibody systems with friction

TL;DR: In this paper, a dissipation principle for resolving post-impact tangential velocities after simultaneous impact events on a system composed of interconnected rigid bodies is proposed, where contact is considered as a succession of impacts so that simultaneous contacts and impacts can be treated using the same framework.
Journal ArticleDOI

Energetically consistent simulation of simultaneous impacts and contacts in multibody systems with friction

TL;DR: In this article, a discrete algebraic model of impact in conjunction with moment and tangential coefficients of restitution (CORs) is used to develop a general impact law for determining post-impact velocities.
Proceedings ArticleDOI

Emulab's wireless sensor net testbed: true mobility, location precision, and remote access

TL;DR: To provide users with precise, real-time robot control, the core of Emulab was extended with three new components, including the robot control daemon, robotd, which maneuvers robots to user-specified positions based on input from visiond, and.
Proceedings ArticleDOI

Remote Low Frequency State Feedback Kinematic Motion Control for Mobile Robot Trajectory Tracking

TL;DR: A teleoperated system that removes the entire motion control structure from the robot, in order to preserve the availability of crucial onboard resources is presented, and the implementation of trajectory tracking control is discussed.