The pace of technological development is exceeding expectations and transforming the
landscape of last-mile delivery. This study investigates how users' post-adoption behavior in …

In a Human-in-the-Loop paradigm, a robotic agent is able to act mostly autonomously in
solving a task, but can request help from an external expert when needed. However …

Expert demonstrations in imitation learning often contain different behavioral modes, eg,
driving modes such as driving on the left, kee** the lane, and driving on the right in the …

Robot policies need to adapt to human preferences and/or new environments. Human
experts may have the domain knowledge required to help robots achieve this adaptation …

Behavior cloning is a common imitation learning paradigm. Under behavior cloning the
robot collects expert demonstrations, and then trains a policy to match the actions taken by …

While engaging with the unfolding revolution in autonomous driving, a challenge presents
itself, how can we effectively raise awareness within society about this transformative trend …

Learning from human feedback has gained traction in fields like robotics and natural
language processing in recent years. While prior works mostly rely on human feedback in …