Autonomous robots are increasingly served in real-world unstructured human environments
with complex long-horizon tasks, such as restaurant serving and office delivery. Task and …

Robots are becoming interactive and robust enough to be adopted outside laboratories and
in industrial scenarios as well as interacting with humans in social activities. However, the …

Abstract Behavior Trees (BTs) were invented as a tool to enable modular AI in computer
games, but have received an increasing amount of attention in the robotics community in the …

Abstract The Robot Operating System 2 (ROS 2) is rapidly impacting the intelligent
machines sector—on space missions, large agriculture equipment, multi-robot fleets, and …

Robots need robust models to effectively perform tasks that humans do on a daily basis.
These models often require substantial developmental costs to maintain because they need …

Autonomous exploration of subterranean environments constitutes a major frontier for
robotic systems as underground settings present key challenges that can render robot …

Locomotion has seen dramatic progress for walking or running across challenging terrains.
However, robotic quadrupeds are still far behind their biological counterparts, such as dogs …

We study the problem of learning to perform multistage robotic manipulation tasks, with
applications to cable routing, where the robot must route a cable through a series of clips …

Reinforcement Learning (RL) has proven to be highly effective in various real-world
applications. However, in certain scenarios, Evolutionary Algorithms (EAs) have been …

A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …