Motion for Animation and Robotics (MAR)

Description

The objectives of this module are:

to master the key representations of motion (animation curves, direct and inverse kinematics)
to know how to model physical, dynamic and behavioral animation, together with related computational techniques
to know how to model environments and use planning algorithms in such environments

The module will rely on applications to illustrate different these techniques in robotics and animation

pose retargeting (inverse kinematics, with/without dynamics)
motion graphs (distance metrics between poses, motion similarity, motion interpolation)

Computer Animation, Direct and Inverse Kinematics, Physics-based Animation, Motion Planning, Behavioral simulation

Basics of linear algebra and 3D transformations

The objectives of this module are:

to master the key representations of motion in 3D : key frames and animation curves, interpolation techniques, direct and inverse kinematics.
to understand the underlying techniques related to the range of animation techniques: procedural, physical, dynamic and behavioral,
to know in which contexts to apply these different animation techniques and understand their limitations
to know the range of motion planning and path planning techniques and understand their specificities
to know how the modeling of 3D environments impact these computational techniques
to know the range of behavioral animation techniques and their practical applicability

The module will rely on applications to illustrate different these techniques in robotics and animation

pose retargeting of characters (inverse kinematics, with/without dynamics)
camera control (motion planning for cameras, behavioral cameras)
motion graphs (distance metrics between poses, motion similarity, motion interpolation)
crowd simulation (models of interaction, micro vs. macro control, etc)

Marc Christie (responsible), Fabrice Lamarche, Ludovic Hoyet, Julien Pettré