Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied
agents. The core concept—reusing prior knowledge to learn in and from novel situations—is …

Humanoid robots have great potential to perform various human-level skills. These skills
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …

This letter presents a novel teleoperation interface that enables remote loco-manipulation
control of a MObile Collaborative robotic Assistant (MOCA). MOCA is a new research …

This paper describes the cybernetic avatar system developed by Team JANUS for
connectivity, exploration, and skill transfer: the core domains targeted by the ANA Avatar …

Humanoid robots have the potential to help human workers by realizing physically
demanding manipulation tasks such as moving large boxes within warehouses. We define …

We present Human to Humanoid (H2O), a reinforcement learning (RL) based framework that
enables real-time whole-body teleoperation of a full-sized humanoid robot with only an RGB …

Avatar robots enable the teleoperation and telepresence of an operator with a rich and
meaningful sense of existence in another location. Robotic avatar systems rely on intuitive …

This article presents a standardized human–robot teleoperation interface (HRTI) evaluation
scheme for mobile manipulators. Teleoperation remains the predominant control type for …

Over the years, there have been many improvements in job-related safety standards and
working conditions, but there are still many situations and environments where human lives …

Generating realistic facial animation for CG characters and digital doubles is one of the
hardest tasks in animation. A typical production workflow involves capturing the performance …