Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

In precision agriculture, robotic arms exhibit significant technical advantages, such as
enhancing operational precision and efficiency, reducing labor costs, and supporting …

Subterranean robot exploration is difficult, with many mobility, communications, and
navigation challenges that require an approach with a diverse set of systems, and reliable …

Effective collaboration in multi-robot systems requires accurate and robust estimation of
relative localization: from cooperative manipulation to collaborative sensing, and including …

Automated agricultural applications, ie, fruit picking require spatial information about crops
and, especially, their fruits. In this paper, we present a novel deep reinforcement learning …

We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …

Modern agricultural applications require knowledge about the position and size of fruits on
plants. However, occlusions from leaves typically make obtaining this information difficult …

We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …

Dormant pruning is a major cost component of fresh market tree fruit production, nearly
equal in scale to harvesting the fruit. However, relatively little focus has been given to the …

3D scene models are useful in robotics for tasks such as path planning, object manipulation,
and structural inspection. We consider the problem of creating a 3D model using depth …