机构地区: 清华大学信息科学技术学院智能技术与系统国家重点实验室
出 处: 《清华大学学报(自然科学版)》 2005年第10期1421-1424,共4页
摘 要: 在动态对抗性环境下竞争的多机器人系统,对于对手的意图进行有效而准确的识别,从而有针对性地提出对策,是获得优势的必要条件。该文针对多机器人系统的对手意图识别提出了基于行为的行为序列估计和行为规则拟合的二次估计方法,引入环境约束、危险评价和行为概率作为判据对多个意图进行排序,避免单一行为结果的推断,实时准确地为决策提供支持。通过机器人足球这一典型的对抗性多机器人系统平台进行了验证,证明该方法在实时性和准确性上均比现有方法有很大提高。 Accurate recognition of the opponent's intentions is necessary for multi-robot systems in dynamic environments to gain a competitive advantage. This paper presents a quadratic estimation method for intention recognition using behavior series and rules for real-time decision making. The three decision-making criteria of environmental restrictions, dangers and behavior probability were applied to sort multiple intentions to ensure accurate recognition. The method was validated in robosoccer systems.
领 域: [自动化与计算机技术] [自动化与计算机技术]