5 accepted papers
With the recent surge in popularity of AR/VR applications, realistic and accurate control of 3D full-body avatars has become a highly demanded feature. A particular challenge is that only a sparse tracking signal is available from standalone HMDs (Head Mounted Devices), often limited to tracking the…
We present a novel motion prior, called PhaseMP, modeling a probability distribution on pose transitions conditioned by a frequency domain feature extracted from a periodic autoencoder. The phase feature further enforces the pose transitions to be unidirectional (i.e. no backward movement in time),…
"Humans can interact with an object in the scene in many different ways, which are often associated with different modalities of contacting with the object. This creates a highly complex motion space that can be difficult to learn, particularly when synthesizing such human interactions in a controll…
While the problem of inverse kinematics on serial kinematic chains is well researched, solving motion tasks quickly on more complex robots remains an open problem. Examples include dual-arm manipulation, grasping with multi-finger hands, and full-body motion generation for humanoids. In this paper,…
While solving inverse kinematics on serial kinematic chains is well researched, many methods still seem rather limited in jointly handling more complex geometries, including dexterous multi-finger hands or humanoid robots. In particular, object manipulation and motion tasks would benefit from the ab…