D
Dale Lawrence
Researcher at University of Colorado Boulder
Publications - 173
Citations - 6044
Dale Lawrence is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Adaptive control & Haptic technology. The author has an hindex of 30, co-authored 162 publications receiving 5491 citations. Previous affiliations of Dale Lawrence include Kyoto University & Virginia Tech.
Papers
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Journal ArticleDOI
Stability and transparency in bilateral teleoperation
TL;DR: It is shown that a proper use of an four channels is of critical importance in achieving high performance telepresence in the sense of accurate transmission of task impedances to the operator.
Journal ArticleDOI
Coordinated Standoff Tracking of Moving Targets Using Lyapunov Guidance Vector Fields
TL;DR: In this article, a Lyapunov guidance vector field is designed for a stationary target and then modified with a correction term that accounts for a moving target and constant background wind.
Proceedings ArticleDOI
Impedance control stability properties in common implementations
TL;DR: This work considers the nonideal, practical effects of computation and/or communication delays and manipulator dynamics on the behavior of two primary approaches to impedance control, and casts in the form of stability boundaries the relationships between desired impedance parameters which cause marginally stable behavior in the overall system.
Journal ArticleDOI
Lyapunov Vector Fields for Autonomous Unmanned Aircraft Flight Control
TL;DR: In this article, general techniques for constructing vector fields for unmanned aircraft guidance are provided that incorporate Lyapunov stability properties to produce simple, globally stable vector fields in three dimensions.
Proceedings ArticleDOI
SensorFlock: an airborne wireless sensor network of micro-air vehicles
Jude Allred,Ahmad Bilal Hasan,Saroch Panichsakul,William J. Pisano,Peter Gray,Jyh Huang,Richard Han,Dale Lawrence,Kamran Mohseni +8 more
TL;DR: This paper describes a complete implementation of the SensorFlock airborne WSN, spanning the development of the MAV airplane, its avionics, semi-autonomous flight control software, launch system, flock control algorithm, and wireless communication networking between MAVs.