Towards Embodiment Scaling Laws in Robot Locomotion
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Abstract (arXiv)
Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodiment scaling laws, the hypothesis that increasing the number of training embodiments improves generalization to unseen ones, using robot locomotion as a test bed. We procedurally generate ~1,000 embodiments with topological, geometric, and joint-level kinematic variations, and train policies on random subsets. We observe positive scaling trends supporting the hypothesis, and find that embodiment scaling enables substantially broader generalization than data scaling on fixed embodiments. Our best policy, trained on the full dataset, transfers zero-shot to novel embodiments in simulation and the real world, including the Unitree Go2 and H1. These results represent a step toward general embodied intelligence, with relevance to adaptive control for configurable robots, morphology co-design, and beyond.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 88 of its 119 references that are in the map. First posted on arXiv 9 May 2025.
Builds on
88 of 119 references.
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50 most cited of 88 All 88 (JSON)
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Citing papers per year: 2025: 3; 2026: 9.
12 papers.
- 2026π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilitiescited by 127
- 2026SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulationcited by 10
- 2026Morphology-Conditioned World Model for Cross-Embodiment Quadrupedal Locomotioncited by 3
- 2025Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomizationcited by 2
- 2026Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Controlcited by 2
- 2025Flexible Locomotion Learning with Diffusion Model Predictive Controlcited by 1
- 2025GenDexHand: Generative Simulation for Dexterous Handscited by 1
- 2026Shape Your Body: Value Gradients for Multi-Embodiment Robot Designcited by 1
- 2026Rapid Embodiment Adaptation for Quadrupedal Locomotioncited by 1
- 2026Health-Conditioned Vision-Language-Action Models for Malfunction-Aware Robot Controlcited by 0
- 2026Teach and Grow: An Agent-Centered Architecture for General Robot Learningcited by 0
- 2026Intelligence Across Embodimentscited by 0
- 2026Intelligence Across Embodiments22 Sep 2026
- 2026Teach and Grow: An Agent-Centered Architecture for General Robot Learning17 Aug 2026
- 2026Rapid Embodiment Adaptation for Quadrupedal Locomotion2 Aug 2026
- 2026Shape Your Body: Value Gradients for Multi-Embodiment Robot Design30 May 2026
- 2026Health-Conditioned Vision-Language-Action Models for Malfunction-Aware Robot Control15 May 2026
- 2026π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities16 Apr 2026
- 2026Morphology-Conditioned World Model for Cross-Embodiment Quadrupedal Locomotion9 Apr 2026
- 2026SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation18 Feb 2026
- 2026Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control3 Feb 2026
- 2025GenDexHand: Generative Simulation for Dexterous Hands3 Nov 2025
- 2025Flexible Locomotion Learning with Diffusion Model Predictive Control5 Oct 2025
- 2025Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization2 Sep 2025