This paper presents high precision control and deep learning-based corn stand counting
algorithms for a low-cost, ultra-compact 3D printed and autonomous field robot for …

In this letter we propose a novel decision making architecture for Robust Model-Predictive
Path Integral Control (RMPPI) and investigate its performance guarantees and applicability …

This paper presents embedded high precision control and corn stands counting algorithms
for a low-cost, ultracompact 3D printed and autonomous field robot for agricultural …

Offers an integrated presentation for path planning and motion control of cooperative mobile
robots using discrete-event system principles Generating feasible paths or routes between a …

Robot path planning in 3D space is a challenging problem for its complex configuration.
Sampling-based algorithms have gained great success in solving path planning problems in …

This paper presents a new approach for predicting slippage associated with individual
wheels in off-road mobile robots. More specifically, machine learning regression algorithms …

Accurate steering through crop rows that avoids crop damage is one of the most important
tasks for agricultural robots utilized in various field operations, such as monitoring …

Sequential decision-making problems arise in every arena of daily life and pose unique
challenges for research in decision-theoretic planning. Although there has been a wide …

Traversability prediction enables safe and efficient autonomous rover operation on
deformable planetary surfaces. Revealing spatial distribution from terrain geometry to rover …

This letter addresses the path planning problem for a rover on deformable, sloped terrains.
As such terrains induce high slip and possible immobilization of rovers, finding a path that …