Gras** small objects surrounded by unstable or non-rigid material plays a crucial role in
applications such as surgery, harvesting, construction, disaster recovery, and assisted …

Billions of people use chopsticks, a simple yet versatile tool, for fine manipulation of
everyday objects. The small, curved, and slippery tips of chopsticks pose a challenge for …

Learning dexterous manipulation skills is a long-standing challenge in computer graphics
and robotics, especially when the task involves complex and delicate interactions between …

Human-in-the-loop Machine Learning (HIL-ML) is a widely adopted paradigm for instilling
human knowledge in autonomous agents. Many design choices influence the efficiency and …

The transfer of information between a human and a robot is of vital importance for robotic
telemanipulation systems. In this paper, we propose a novel strategy-assisted shared control …

Teleoperation enables controlling complex robot systems remotely, providing the ability to
impart human expertise from a distance. However, these interfaces can be complicated to …

We consider imitation learning with access only to expert demonstrations, whose real-world
application is often limited by covariate shift due to compounding errors during execution …