most citedFlower Interaction Subsystem for a Precision Pollination Robot

4 citations · 4 across the 1 of their papers we have counts for

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cs.RO20194 cited

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…

cs.RO2019

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.…

cs.RO2019

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…

cs.RO2018

Design of an Autonomous Precision Pollination Robot

Nicholas Ohi, Kyle Lassak, Ryan Watson +17

Precision robotic pollination systems can not only fill the gap of declining natural pollinators, but can also surpass them in efficiency and uniformity, helping to feed the fast-g…

cs.RO2018

Robust Navigation In GNSS Degraded Environment Using Graph Optimization

Ryan M. Watson, Jason N. Gross

Robust navigation in urban environments has received a considerable amount of both academic and commercial interest over recent years. This is primarily due to large commercial org…

cs.RO2018

Evaluation of Kinematic Precise Point Positioning Convergence with an Incremental Graph Optimizer

Ryan M. Watson, Jason N. Gross

Estimation techniques to precisely localize a kinematic platform with GNSS observables can be broadly partitioned into two categories: differential, or undifferenced. The different…