Recently, vehicle teleoperation (remote driving) has been gaining momentum in the industry
and is playing an important role in helping self-driving cars navigate through tricky situations …

Going beyond dyadic (one-to-one) interaction has been increasingly explored in HRI. Yet
we lack a comprehensive view on non-dyadic interaction research in HRI. To map out 15 …

In the future, it will become more common for humans to team up with robotic systems to
perform tasks that humans cannot realistically accomplish alone. Even for autonomous and …

Industrial robots, designed for performing operations quickly, repeatedly and accurately
have a long heritage in the manufacturing industry, operating in relatively static …

In the domain of automated driving, numerous (technological) problems were solved in
recent years, but still many limitations are around that could eventually prevent the …

There is a large gap between current AI-based autonomous-driving cars and fully
autonomous cars, where the remote control of vehicles can be a unique solution to fill the …

Working with artificial agents is a challenging endeavor, often imposing high levels of
workload on human operators who work within these socio-technical systems. We seek to …

Remote driving brings human operators with sophisticated perceptual and cognitive skills
into an over-the-network control loop, with the hope of addressing the challenging aspects of …

Fixed time lags within control systems are known to reduce the speed and accuracy of
human-control actions. Further, the effects of variable time lags are not well-studied or …

No existing automated vehicle can operate in all conditions and environments. In order to
allow unmanned operation of automated vehicles in all conditions, many developers have …