An effective 3D stepping control algorithm that is computationally fast, robust, and easy to
implement is extremely important and valuable to character animation research. In this …

Recently, work on reinforcement learning (RL) for bipedal robots has successfully learned
controllers for a variety of dynamic gaits with robust sim-to-real demonstrations. In order to …

Deep reinforcement learning (RL) based controllers for legged robots have demonstrated
impressive ro-bustness for walking in different environments for several robot platforms. To …

Brachiation is the primary form of locomotion for gibbons and siamangs, in which these
primates swing from tree limb to tree limb using only their arms. It is challenging to control …

Contemporary computer animation research has benefited substantially from the
advancement of deep learning and deep reinforcement learning methods in the past …

When designing crowds for entertaining applications, a few generic walking motions are
duplicated to save valuable resources, leading to a lack of variations. Inthis thesis, we …