In the pursuit of increasing efficiency, productivity and flexibility at production lines and their
corresponding workstations, manufacturing companies have started to heavily invest in …

Teleoperation of humanoid robots enables the integration of the cognitive skills and domain
expertise of humans with the physical capabilities of humanoid robots. The operational …

Systems for language-guided human-robot interaction must satisfy two key desiderata for
broad adoption: adaptivity and learning efficiency. Unfortunately, existing instruction …

Sharing the control of a robotic system with an autonomous controller allows a human to
reduce his/her cognitive and physical workload during the execution of a task. In recent …

When humans design cost or goal specifications for robots, they often produce specifications
that are ambiguous, underspecified, or beyond planners' ability to solve. In these cases …

As robotic devices are applied to problems beyond traditional manufacturing and industrial
settings, we find that interaction between robots and humans, especially physical interaction …

In shared autonomy, a user and autonomous system work together to achieve shared goals.
To collaborate effectively, the autonomous system must know the user's goal. As such, most …

Robot teleoperation can be a challenging task, often requiring a great deal of user training
and expertise, especially for platforms with high degrees-of-freedom (eg, industrial …

In this paper, we propose a novel method for human–robot collaboration, where the robot
physical behaviour is adapted online to the human motor fatigue. The robot starts as a …

In shared autonomy, user input is combined with semi-autonomous control to achieve a
common goal. The goal is often unknown ex-ante, so prior work enables agents to infer the …