Zhao, Shiyu

ESO-based robust and high-precision tracking control for aerial manipulation

Cao, H., Li, Y., Liu, C., & Zhao, S. (2024) · IEEE Transactions on Automation Science and Engineering

Adaptive Control of Nonlinear SystemsAerospace Engineering and Control Systems

Cited by 87

Token-Budget-Aware LLM Reasoning

Han, T., Wang, Z., Fang, C., Zhao, S., Ma, S., & Chen, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

Token-Budget-Aware LLM Reasoning

Han, T., Wang, Z., Fang, C., Zhao, S., Ma, S., & Chen, Z. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 31

Defend the practicality of single-integrator models in multi-robot coordination control

Zhao, S., & Sun, Z. (2017) · 2017 13th IEEE International Conference on Control & Automation (ICCA)

Distributed Control Multi-Agent SystemsControl and Dynamics of Mobile Robots

Cited by 23

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L. E., Zhang, R., et al. (2024) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 21

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L., Zhang, R., et al. (2024) · Advances in Neural Information Processing Systems 37

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 21

Multi-Agent Consensus Seeking via Large Language Models

Chen, H., Ji, W., Xu, L., & Zhao, S. (2023) · arXiv

Distributed Control Multi-Agent SystemsMulti-Agent Systems and Negotiation

Cited by 16