APOLLO Blender: A Robotics Library for Visualization and Animation in Blender
- URL: http://arxiv.org/abs/2512.23103v2
- Date: Tue, 30 Dec 2025 22:40:53 GMT
- Title: APOLLO Blender: A Robotics Library for Visualization and Animation in Blender
- Abstract summary: High-quality visualizations are an essential part of robotics research, enabling clear communication of results through figures, animations, and demonstration videos.<n>While Blender is a powerful and freely available 3D graphics platform, its steep learning curve and lack of robotics-focused integrations make it difficult and time-consuming for researchers to use effectively.<n>We introduce a lightweight software library that bridges this gap by providing simple scripting interfaces for common robotics visualization tasks.
- Score: 2.707154152696381
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: High-quality visualizations are an essential part of robotics research, enabling clear communication of results through figures, animations, and demonstration videos. While Blender is a powerful and freely available 3D graphics platform, its steep learning curve and lack of robotics-focused integrations make it difficult and time-consuming for researchers to use effectively. In this work, we introduce a lightweight software library that bridges this gap by providing simple scripting interfaces for common robotics visualization tasks. The library offers three primary capabilities: (1) importing robots and environments directly from standardized descriptions such as URDF; (2) Python-based scripting tools for keyframing robot states and visual attributes; and (3) convenient generation of primitive 3D shapes for schematic figures and animations. Together, these features allow robotics researchers to rapidly create publication-ready images, animations, and explanatory schematics without needing extensive Blender expertise. We demonstrate the library through a series of proof-of-concept examples and conclude with a discussion of current limitations and opportunities for future extensions.
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