When dealing with the haptic teleoperation of multi-limbed mobile manipulators, the problem
of mitigating the destabilizing effects arising from the communication link between the haptic …

This paper introduces a novel deep-learning approach for human-to-robot motion
retargeting, enabling robots to mimic human poses accurately. Contrary to prior deep …

In most industrial robot applications, on-site robot operation is required. However, this is not
feasible for certain harsh operating conditions, such as high temperatures and intense …

For humanoids to be deployed in demanding situations, such as search and rescue, highly
intelligent decision making and proficient sensorimotor skill is expected. A promising …

Designing controllers for complex robots such as humanoids is not an easy task. Often,
researchers hand-tune controllers, but this is a time-consuming approach that yields a single …

Roboticists compare robot motions for tasks such as parameter tuning, troubleshooting, and
deciding between possible motions. However, most existing visualization tools are designed …

Work-related musculoskeletal disorders are a major health issue often caused by awkward
postures. Identifying and recommending more ergonomic body postures requires optimizing …

Teleoperation has become increasingly important for the real-world application of robots.
However, in current teleoperation applications, operators need to visually recognize any …

Integrating robots into populated environments is a complex challenge that requires an
understanding of human social dynamics. In this work, we propose to model social motion …

Humanoid robots are increasingly being developed for seamless interaction with humans in
various domains. However, generating expressive and feasible motions for these robots …