APOLLO Blender: A Robotics Library for Visualization and Animation in Blender

TL;DR

APOLLO Blender tackles the challenge of producing publication-quality robotics visuals by integrating robotics-aware scripting directly into Blender. It provides URDF-based importing, joint-space configuration and animation, and easy generation of 3D primitives to compose figures and animations without deep Blender expertise. The paper presents a minimal, open-source Python API designed for reproducible, script-driven visual workflows, and showcases proof-of-concept examples including motion gradients, schematics, and geometric approximations. The work positions Blender as a practical platform for communication and outreach in robotics, while acknowledging limitations around physics fidelity, URDF validity, and performance on complex scenes.

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.

Figures (23)

• Figure 1: In this paper, we introduce APOLLO Blender, a lightweight Python library that enables robotics-aware visualization and animation directly within Blender. The image above shows a humanoid robot executing a complex motion sequence, rendered as a single static frame using multiple transparent, color-faded instances. By leveraging standard URDF descriptions and concise scripting interfaces, our tool supports rapid generation of publication-quality figures and animations tailored for robotics research, instruction, and outreach.
• Figure 2: Implementation of robot spawning using the toolbox.
• Figure 3: Example of a UR5 robot spawned into Blender via a short Python script.
• Figure 4: Setting the joint configuration for the robot instance.
• Figure 5: Example of a UR5 robot configured in Blender, where each joint angle has been set to 1 radian using a scripting call.