Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …

Closed loop quantum control uses measurement to control the dynamics of a quantum
system to achieve either a desired target state or target dynamics. In the case when the …

With promising results and enormous capability, deep learning technology has attracted
more and more attention to both theoretical research and applications for a variety of image …

In this article, a learning framework that enables robotic arms to replicate new skills from
human demonstration is proposed. The learning framework makes use of online human …

Robot-assisted therapy (RAT) offers potential advantages for improving the social skills of
children with autism spectrum disorders (ASDs). This article provides an overview of the …

Swarm systems consist of large numbers of agents that collaborate autonomously. With an
appropriate level of human control, swarm systems could be applied in a variety of contexts …

We focus on enabling robots to proactively assist humans in assembly tasks by adapting to
their preferred sequence of actions. Much work on robot adaptation requires human …

Socially assistive robots have the potential to augment and enhance therapist's
effectiveness in repetitive tasks such as cognitive therapies. However, their contribution has …

Reinforcement learning has shown great potential for learning sequential decision-making
tasks. Yet, it is difficult to anticipate all possible real-world scenarios during training, causing …

Many solutions to address the challenge of robot learning have been devised, namely
through exploring novel ways for humans to communicate complex goals and tasks in …