Navigating drones through natural language commands remains challenging due to the
dearth of accessible multi-modal datasets and the stringent precision requirements for …

Accurate drone positioning is challenging because pilots only have a limited position and
direction perception of a flying drone from their perspective. This makes conventional …

Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and
extend to many areas of society, including the industrialized world. A common alternative for …

The deep deterministic policy gradient (DDPG) algorithm is an off-policy method that
combines two mainstream reinforcement learning methods based on value iteration and …

This paper explores the design and development of a language-based interface for dynamic
mission programming of autonomous underwater vehicles (AUVs). The …

This paper presents a novel and exploratory investigation of how users might control future
autonomous vehicles with user-defined in-air static hand gestures. In the era of autonomous …

Frictionless and understandable tasking is essential for leveraging human-autonomy
teaming in commercial, military, and public safety applications. Existing technology for …

Directing groups of unmanned air vehicles (UAVs) is a task that typically requires the full
attention of several operators. This can be prohibitive in situations where an operator must …

As the number of viable applications for unmanned aerial vehicle (UAV) systems increases
at an exponential rate, interfaces that reduce the reliance on highly skilled engineers and …

Purpose-Two-handed automobile steering at low vehicle speeds may lead to reduced
steering ability at large steering wheel angles and shoulder injury at high steering wheel …