Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation. - David V. Gealy; Stephen McKinley; Brent Yi; Philipp Wu; Phillip R. Downey; Greg Balke; Allan Zhao; Menglong Guo; Rachel Thomasson; Anthony Sinclair; Peter Cuellar; Zoe McCarthy; et al. (ICRA, 2019)

Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations. - Andrew Spielberg; Allan Zhao; Yuanming Hu; Tao Du 001; Wojciech Matusik; Daniela Rus (NeurIPS, 2019)

RoboGrammar: graph grammar for terrain-optimized robot design. - Allan Zhao; Jie Xu 028; Mina Konakovic-Lukovic; Josephine Hughes; Andrew Spielberg; Daniela Rus; Wojciech Matusik (ACM Trans. Graph., 2020)

Multi-Objective Graph Heuristic Search for Terrestrial Robot Design. - Jie Xu 028; Andrew Spielberg; Allan Zhao; Daniela Rus; Wojciech Matusik (ICRA, 2021)

Graph Grammar-Based Automatic Design for Heterogeneous Fleets of Underwater Robots. - Allan Zhao; Jie Xu 028; Juan Salazar; Wei Wang 078; Pingchuan Ma 002; Daniela Rus; Wojciech Matusik (ICRA, 2022)

Automatic Co-Design of Aerial Robots Using a Graph Grammar. - Allan Zhao; Tao Du 001; Jie Xu 028; Josie Hughes; Juan Salazar; Pingchuan Ma 002; Wei Wang 078; Daniela Rus; Wojciech Matusik (IROS, 2022)

How Can Large Language Models Help Humans in Design and Manufacturing? - Liane Makatura; Michael Foshey; Bohan Wang; Felix Hähnlein; Pingchuan Ma 002; Bolei Deng; Megan Tjandrasuwita; Andrew Spielberg; Crystal Elaine Owens; Peter Yichen Chen; Allan Zhao; Amy Zhu; et al. (CoRR, 2023)

Robot Graph Grammars: Towards Custom Robots for Every Task - Allan Zhao (2024)