Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …

Teleoperation serves as a powerful method for collecting on-robot data essential for robot
learning from demonstrations. The intuitiveness and ease of use of the teleoperation system …

Teleoperation is a crucial tool for collecting human demonstrations, but controlling robots
with bimanual dexterous hands remains a challenge. Existing teleoperation systems …

Robot models, particularly those trained with large amounts of data, have recently shown a
plethora of real-world manipulation and navigation capabilities. Several independent efforts …

We study the problem of teaching humanoid robots manipulation skills by imitating from
single video demonstrations. We introduce OKAMI, a method that generates a manipulation …

In-hand manipulation of pen-like objects is an important skill in our daily lives, as many tools
such as hammers and screwdrivers are similarly shaped. However, current learning-based …

Humanoid robots capable of autonomous operation in diverse environments have long
been a goal for roboticists. However, autonomous manipulation by humanoid robots has …

Recent progress in imitation learning from human demonstrations has shown promising
results in teaching robots manipulation skills. To further scale up training datasets, recent …

To train generalist robot policies, machine learning methods often require a substantial
amount of expert human teleoperation data. An ideal robot for humans collecting data is one …

Humanoid whole-body control requires adapting to diverse tasks such as navigation, loco-
manipulation, and tabletop manipulation, each demanding a different mode of control. For …