David NAVARRO 毛大衛

Area of Specialization: Robotics and Embodied AI. My research investigates how robots can acquire and use visuomotor skills to perform complex physical tasks. At ROMI Lab, we combine perception, learning, planning, and feedback control to enable robust interaction with dynamic, uncertain, and deformable environments. Our work spans deformable-object manipulation, mobile manipulation, long-horizon task execution, and cooperative multi-robot systems, bringing together mechanics, computing, and automation.

S. Lyu, F. Wang, W. Lin, G. Guo, and D. Navarro-Alarcon, “Enhancing End-User Engagement in Human–Robot Interaction by Performing LLM-Driven Expressive Behaviors,” ACM Transactions on Human-Robot Interaction, vol. 15, no. 4, no. 79, 2026. L. Labazanova, L. Qiu, J. G. Romero, L. Cheng, T. Nanayakkara, and D. Navarro-Alarcon, “Motion and Morphology Planning for Autonomous Manipulation in Clutter With a Shape-Shifting, Variable-Stiffness Robot,” Advanced Intelligent Systems, no. e70475, 2026. H.-Y. Lee, P. Zhou, A. Duan, W. Ma, C. Yang, and D. Navarro-Alarcon, “Non-Prehensile Tool-Object Manipulation by Integrating LLM-Based Planning and Manoeuvrability-Driven Controls,” Robotics and Computer-Integrated Manufacturing, vol. 100, no. 103231, 2026. J. Qi, L. Lu, F. Wang, H.-Y. Lee, D. Navarro-Ala