Research map / Multi-agent systems and games / LLM agents
MorphoGen: Free-Form XML Evolution for Robot Morphology Design
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Proposes MorphoGen, an LLM-driven evolutionary method that evolves robot morphologies as free-form XML descriptions rather than using blind genetic operators or predefined RL modification actions.
Problem
Robot morphology design searches a vast, combinatorial, non-differentiable space; existing methods use semantically-blind genetic operators or RL with predefined modification actions, which limit the search.
Approach
Represents robot morphologies as free-form XML and uses language models to perform semantically meaningful evolutionary edits on the XML, instead of fixed genetic operators or a predefined action set.
Closest papers by meaning
- MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders (AAAI 2024 · similarity 0.91)
- Convergent Functions, Divergent Forms (NeurIPS 2025 · similarity 0.90)
- DittoGym: Learning to Control Soft Shape-Shifting Robots (ICLR 2024 · similarity 0.88)
- BodyGen: Advancing Towards Efficient Embodiment Co-Design (ICLR 2025 · similarity 0.87)
- Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot (NeurIPS 2026 · similarity 0.87)
- Debate2Create: Robot Co-design via Multi-Agent LLM Debate (ICML 2026 · similarity 0.87)
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