We present a novel method for populating 3D indoor scenes with virtual humans that can
navigate in the environment and interact with objects in a realistic manner. Existing …

Interactive control of self-balancing, physically simulated humanoids is a long standing
problem in the field of real-time character animation. While physical simulation guarantees …

Human motion synthesis is an important problem for applications in graphics and gaming,
and even in simulation environments for robotics. Existing methods require accurate motion …

In this paper we show how the task of motion tracking for physically simulated characters
can be solved using supervised learning and optimizing a policy directly via back …

We aim to build complex humanoid agents that integrate perception, motor control, and
memory. In this work, we partly factor this problem into low-level motor control from …

We present a new algorithm that learns a parameterized family of motor skills from a single
motion clip. The motor skills are represented by a deep policy network, which produces a …

Given a robust control system, physical simulation offers the potential for interactive human
characters that move in realistic and responsive ways. In this article, we describe how to …

Due to the visual ambiguity, purely kinematic formulations on monocular human motion
capture are often physically incorrect, biomechanically implausible, and can not reconstruct …

We present a framework that enables the discovery of diverse and natural-looking motion
strategies for athletic skills such as the high jump. The strategies are realized as control …

The difficulty of developing control strategies has been a primary bottleneck in the adoption
of physics-based simulations of human motion. We present a method for learning robust …