Co-Design: RL-Based Design Generation and Neural Design Policies

← Co-Design Papers

Papers are arranged from newest to oldest.

1. Transformer Transformer: A Unified Model for Motion-Conditioned Robot Co-Design: arXiv, 2026 [Paper] [Project Page]
2. RoboMorph: Evolving Robot Morphology Using Large Language Models: ICRA, 2026 [Paper]
3. Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design: ICLR, 2022 [Paper]
4. Hardware as Policy: Mechanical and Computational Co-Optimization Using Deep Reinforcement Learning: CoRL, 2020; PMLR, 2021 [Paper]
5. RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design: ACM TOG / SIGGRAPH Asia, 2020 [Paper]