This paper presents the first method for full-body trajectory optimization of physics-based
human motion that does not rely on motion capture, specified key-poses, or periodic motion …

Style is an intrinsic, inescapable part of human motion. It complements the content of motion
to convey meaning, mood, and personality. Existing state-of-the-art motion style methods …

We present a technique for analyzing a set of animal gaits to predict the gait of a new animal
from its shape alone. This method works on a wide range of bipeds and quadrupeds, and …

We present an optimization framework for generating diverse variations of physics-based
character motions. This allows for the automatic synthesis of rich variations in style for …

We address the problem of synthesizing physical animations that can loop seamlessly. We
formulate a variational approach by deriving a physical law in a periodic time domain. The …

This paper describes the design and construction of an instrumented bouldering wall, and a
technique for estimating poses by optimizing an objective function involving contact forces …

In this paper, we propose a novel motion controller for the online generation of natural
character locomotion that adapts to new situations such as changing user control or …

We propose an approach for motor skill learning of highly articulated characters based on
the systematic exploration of low-dimensional joint coactivation spaces. Through analyzing …

We present an optimization framework that produces a diverse range of motions for physics-
based characters for tasks such as jumps, flips, and walks. This stands in contrast to the …

There exists a large body of research devoted to creating real time interactive locomotion
controllers which are targeted at some specific class of character, most often humanoid …