The goal of this survey is to inform the design and usage of nonverbal signals for human-
robot interaction. With robots being increasingly utilized for tasks that require them to not …

We introduce a novel deep learning framework for data-driven motion retargeting between
skeletons, which may have different structure, yet corresponding to homeomorphic graphs …

We present the first method that automatically transfers poses between stylized 3D
characters without skeletal rigging. In contrast to previous attempts to learn pose …

We propose HandAvatar to enable users to embody non-humanoid avatars using their
hands. HandAvatar leverages the high dexterity and coordination of users' hands to control …

Our paper aims to generate diverse and realistic animal motion sequences from textual
descriptions without a large-scale animal text-motion dataset. While the task of text-driven …

Character motion synthesis is the process of artificially generating natural motion for a virtual
character. In film, motion synthesis can be used to generate difficult or dangerous stunts …

Robotic creatures are capable of entering hazardous environments instead of human
workers, but it is challenging to develop a fully autonomous agent that can work …

We present a novel real-time motion puppetry system that drives the motion of non-human
characters using human motion input. We aim to control a variety of creatures whose body …

We present an end-to-end framework which equips robots with the capability to perform
reaching motions in a natural human-like fashion. A markerless, high-accuracy, model …

Background. Empathic interactions with animated game characters can help improve user
experience, increase immersion, and achieve better affective outcomes related to the use of …