Computer animation

Related papers: 20

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Computer animation is the process of creating moving visual content by computationally generating and controlling the motion of digital characters, objects, and environments over time. It encompasses techniques ranging from keyframe interpolation and inverse kinematics to physically based simulation and data-driven motion synthesis, enabling realistic depiction of articulated figures, deformable bodies, facial expressions, and dynamic locomotion. In robotics and AI, computer animation plays a dual role. First, it provides simulation environments where robot motion planning, control algorithms, and physical interactions can be developed and tested before deployment on real hardware. Second, it supplies methodologies — such as physics-based character control, motion capture-driven learning (e.g., DeepMimic), and diffusion-based motion synthesis — that directly inform how robots generate natural, lifelike movement. Techniques like collision detection, multibody dynamics, and rotation-minimizing frames are shared foundations across both animated characters and robotic systems. Computer animation matters because it accelerates robot development through safe virtual prototyping, provides rich training data for learning-based controllers, and bridges human motion understanding with autonomous system design — ultimately helping robots move and interact in ways that are physically plausible and intuitively natural.

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