31 citations · 111 across the 11 of their papers we have counts for
5 papers · 1 filter
Robust Incremental State Estimation through Covariance Adaptation
Ryan M. Watson, Jason N. Gross, Clark N. Taylor +1
Recent advances in the fields of robotics and automation have spurred significant interest in robust state estimation. To enable robust state estimation, several methodologies have…
Uncertainty Model Estimation in an Augmented Data Space for Robust State Estimation
Ryan M. Watson, Jason N. Gross, Clark N. Taylor +1
The requirement to generate robust robotic platforms is a critical enabling step to allow such platforms to permeate safety-critical applications (i.e., the localization of autonom…
Flower Interaction Subsystem for a Precision Pollination Robot
Jared Strader, Jennifer Nguyen, Christopher Tatsch +8
Robotic pollinators not only can aid farmers by providing more cost effective and stable methods for pollinating plants but also benefit crop production in environments not suitabl…
Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraints
Cagri Kilic, Jason N. Gross, Nicholas Ohi +5
We present an approach to enhance wheeled planetary rover dead-reckoning localization performance by leveraging the use of zero-type constraint equations in the navigation filter.…
Enabling Robust State Estimation through Measurement Error Covariance Adaptation
Ryan M. Watson, Jason N. Gross, Clark N. Taylor +1
Accurate platform localization is an integral component of most robotic systems. As these robotic systems become more ubiquitous, it is necessary to develop robust state estimation…