Olaf: Bringing an Animated Character to Life in the Physical World
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Abstract (arXiv)
Animated characters often move in non-physical ways and have proportions that are far from a typical walking robot. This provides an ideal platform for innovation in both mechanical design and stylized motion control. In this paper, we bring Olaf to life in the physical world, relying on reinforcement learning guided by animation references for control. To create the illusion of Olaf's feet moving along his body, we hide two asymmetric legs under a soft foam skirt. To fit actuators inside the character, we use spherical and planar linkages in the arms, mouth, and eyes. Because the walk cycle results in harsh contact sounds, we introduce additional rewards that noticeably reduce impact noise. The large head, driven by small actuators in the character's slim neck, creates a risk of overheating, amplified by the costume. To keep actuators from overheating, we feed temperature values as additional inputs to policies, introducing new rewards to keep them within bounds. We validate the efficacy of our modeling in simulation and on hardware, demonstrating an unmatched level of believability for a costumed robotic character.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 20 of its 44 references that are in the map. First posted on arXiv 18 Dec 2025.
Builds on
20 of 44 references.
References · 20
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8 more
- 2025Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuningcited by 18
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Built on by
Citing papers per year: 2026: 4.
4 papers.
- 2026Fauna Sprout: A lightweight, approachable, developer-ready humanoid robotcited by 0
- 2026IRIS: Learning-Driven Task-Specific Cinema Robot Arm for Visuomotor Motion Controlcited by 0
- 2026STyMo: Fast and Controllable Few-Shot Motion Style Transfercited by 0
- 2026Beyond Tasks: A Vision for Reproducing an Animal-like Behavioral Substrate Using Modern Robot Learning Techniquescited by 0
- 2026Beyond Tasks: A Vision for Reproducing an Animal-like Behavioral Substrate Using Modern Robot Learning Techniques27 Sep 2026
- 2026STyMo: Fast and Controllable Few-Shot Motion Style Transfer3 Sep 2026
- 2026IRIS: Learning-Driven Task-Specific Cinema Robot Arm for Visuomotor Motion Control19 Feb 2026
- 2026Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot26 Jan 2026