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 as …

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 …

Robots assisting disabled or elderly people in activities of daily living must perform complex
manipulation tasks. These tasks are dependent on the user’s environment and preferences. …

Several recent studies have demonstrated the promise of deep visuomotor policies for robot
manipulator control. Despite impressive progress, these systems are known to be …

Recent research demonstrated that it is feasible to end-to-end train multi-task deep visuomotor
policies for robotic manipulation using variations of learning from demonstration (LfD) …

Wheelchair mounted robotic arms can help people with disabilities perform their activities of
daily living (ADL). The autonomy of such a system can range from full manual control (both …

For many years, successful applications of robotics were the domain of controlled environments,
such as industrial assembly lines. Such environments are custom designed for the …

Picking up an object with a wheelchair mounted robotic arm can be decomposed into a
wheelchair navigation task designed to position the robotic arm such that the object is “easy to …

Several recent studies have demonstrated the promise of deep visuomotor policies for robot
manipulator control. Despite impressive progress, these systems are known to be …

Assistive robots promise to increase the autonomy of disabled or elderly people by facilitating
the performance of Activities of Daily Living (ADLs). Learning from Demonstration (LfD) …