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

Learning from demonstrations has shown to be an effective approach to robotic
manipulation, especially with the recently collected large-scale robot data with teleoperation …

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 …

Open-sourced, user-friendly tools form the bedrock of scientific advancement across
disciplines. The widespread adoption of data-driven learning has led to remarkable …

Teleoperated humanoid robots hold significant potential as physical avatars for humans in
hazardous and inaccessible environments, with the goal of channeling human intelligence …

Multi-step dexterous manipulation is a fundamental skill in household scenarios, yet remains
an underexplored area in robotics. This paper proposes a modular approach, where each …

Human-robot interaction is composed of multiple aspects that together create a single
experience. In this paper we present a humanoid head that is designed for human-robot …

Besides haptics, the visual channel provides the most essential feedback to the operator in
teleoperation setups. For optimal performance, the view on the remote scene must provide …

Novel view synthesis is required in many robotic applications, such as VR teleoperation and
scene reconstruction. Existing methods are often too slow for these contexts, cannot handle …