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 …

Artificial intelligence (AI) technology has greatly expanded human capabilities through
perception, understanding, action, and learning. The future of AI depends on cooperation …

AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

Recent work in visual representation learning for robotics demonstrates the viability of
learning from large video datasets of humans performing everyday tasks. Leveraging …

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

Effective human-robot collaboration in shared autonomy requires reasoning about the
intentions of the human partner. To provide meaningful assistance, the autonomy has to first …

Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …

Physically assistive robots present an opportunity to significantly increase the well-being
and independence of individuals with motor impairments or other forms of disability who are …

Assistive robot arms enable people with disabilities to conduct everyday tasks on their own.
These arms are dexterous and high-dimensional; however, the interfaces people must use …

To act in the world, robots rely on a representation of salient task aspects: for example, to
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …