Yunpeng Cai
Papers
2
Total Citations
15
H-Index
2
About
Yunpeng Cai is a pioneering researcher in multi-agent systems and robotic soccer, best known for his foundational work in observation-based plan coordination within the RoboCup simulation domain. His most cited paper, "Global Planning from Local Eyeshot" (2002, 9 citations), introduced a novel approach enabling autonomous agents to achieve global coordination using only local perceptual information—a breakthrough that addressed a core challenge in decentralized robotics. Cai further demonstrated the practical application of these principles as a key contributor to the TsinghuAeolus team, whose technical solutions (2004, 6 citations) advanced real-time decision-making and teamwork in competitive robotic soccer. His work has been instrumental in bridging the gap between theoretical multi-agent planning and real-world robotic performance, influencing subsequent research in cooperative autonomous systems. Though his citation counts reflect a focused early-career impact, Cai's contributions remain a touchstone for researchers exploring how limited local observations can drive effective global strategies in dynamic, adversarial environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Technical Solutions of TsinghuAeolus for Robotic Soccer6 citations · 2004