Target tracking plays a crucial role in real-world scenarios, particular...
As high-speed, agile robots become more commonplace, these robots will h...
As human-robot collaboration increases in the workforce, it becomes esse...
Artificial Intelligence is being employed by humans to collaboratively s...
Interactive Artificial Intelligence (AI) agents are becoming increasingl...
Agile robotics presents a difficult challenge with robots moving at high...
Learning from Demonstration (LfD) is a powerful method for enabling robo...
Federated learning is a training paradigm that learns from multiple
dist...
Athletics are a quintessential and universal expression of humanity. Fro...
Learning from Demonstration (LfD) approaches empower end-users to teach
...
Recent advances in machine learning have led to growing interest in
Expl...
Effective Human-AI teaming requires the ability to communicate the goals...
Stereotypes, bias, and discrimination have been extensively documented i...
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have...
It is not scalable for assistive robotics to have all functionalities
pr...
Modern day computer games have extremely large state and action spaces. ...
Learning from Demonstration (LfD) approaches empower end-users to teach
...
Gradient-based approaches in reinforcement learning (RL) have achieved
t...
Information sharing is key in building team cognition and enables
coordi...
We propose a framework that learns to execute natural language instructi...
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
Multi-agent teaming achieves better performance when there is communicat...
Policy specification is a process by which a human can initialize a robo...
Learning from demonstration (LfD) is a powerful learning method to enabl...
As machine learning is increasingly deployed in the real world, it is ev...
The purpose of this tutorial is to help individuals use the
FireCommande...
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
As robots become ubiquitous in the workforce, it is essential that
human...
Fighting wildfires is a precarious task, imperiling the lives of engagin...
The development of human-robot systems able to leverage the strengths of...
Reinforcement learning (RL) has achieved tremendous success as a general...
Detecting and adapting to catastrophic failures in robotic systems requi...
Increasing interest in integrating advanced robotics within manufacturin...
Human domain experts solve difficult planning problems by drawing on yea...
Decision trees are ubiquitous in machine learning for their ease of use ...
Wildfires are destructive and inflict massive, irreversible harm to vict...
For assistive robots and virtual agents to achieve ubiquity, machines wi...
Deep reinforcement learning has seen great success across a breadth of t...
Coordinating agents to complete a set of tasks with intercoupled tempora...