Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …

As robots interact with a broader range of end-users, end-user robot programming has
helped democratize robot programming by empowering end-users who may not have …

We propose a technique for multi-task learning from demonstration that trains the controller
of a low-cost robotic arm to accomplish several complex picking and placing tasks, as well …

A key challenge for robotic manipulation in open domains is how to acquire diverse and
generalizable skills for robots. Recent progress in one-shot imitation learning and robotic …

A key challenge in learning task and motion planning in open domains is how to acquire
diverse and generalizable skills for robots. Recent research in one-shot imitation learning …

Large, richly annotated datasets have accelerated progress in fields such as computer
vision and natural language processing, but replicating these successes in robotics has …

When interacting with a robot, humans form con-ceptual models (of varying quality) which
capture how the robot behaves. These conceptual models form just from watching or in …

There is a large variety of objects and appliances in human environments, such as stoves,
coffee dispensers, juice extractors, and so on. It is challenging for a roboticist to program a …

Service robots are expected to play an important role in our daily lives as our companions in
home and work environments in the near future. An important requirement for fulfilling this …

Robots assisting the disabled or elderly must perform complex manipulation tasks and must
adapt to the home environment and preferences of their user. Learning from demonstration …