Steering autonomous animals in VR hunting

In the scenario of a VR hunting game, behaviour and autonomy of in-game animals are crucial in minimizing users’ uncomfortableness and maximizing their experience while gaming. In this study, forward and backward reaching inverse kinematics (IK) is extended and used as the IK solver to handle the locomotion of the autonomous animals. The IK model presented is seamlessly combined with the steering behaviour algorithms so that the animals can perform all sorts of autonomous actions efficiently, supported with realistic and smooth animations. The algorithms presented in this research can also be used for motion behaviour and control of other quadrupedal and multipedal objects.