arXiv:2510.25850v3 Announce Type: replace-cross Abstract: We introduce Debate2Create (D2C), a multi-agent LLM framework that formulates robot co-design as structured, iterative debate grounded in physics-based evaluation. A design agent and control agent engage in a thesis-antithesis-synthesis loop, while criterion-specific LLM judges provide multi-objective feedback to steer exploration. Across five MuJoCo locomotion benchmarks, D2C achieves the highest default-normalized score among the evaluated LLM-based and black-box baselines, with gains up to 3.2x on Ant and nearly 9x on Swimmer. Iterat
The rapid advancements in large language models and multi-agent systems are enabling increasingly complex applications in design and control, leading to breakthroughs like Debate2Create.
This development significantly enhances the capabilities for autonomous robot design and optimization, reducing human intervention and accelerating progress in robotics and intelligent systems.
The paradigm for robot co-design shifts from manual iteration to an autonomous, debate-driven, and physics-grounded evaluation process, leading to superior performance.
- · Robotics companies
- · AI research labs
- · Manufacturing sector
- · Automation solution providers
- · Traditional manual design workflows
- · Companies relying on less efficient design methodologies
More efficient and capable robots will be developed at a faster pace.
This acceleration in robot development could lead to wider adoption of advanced robotics in various industries, increasing productivity.
Highly autonomous design and control systems might eventually lead to self-improving robotic ecosystems, further accelerating technological progress beyond human-initiation.
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Read at arXiv cs.LG