This paper demonstrates the experiments conducted on a Humanoid robot, for generating intelligent gestures using knowledge-based system (KBS). The Jess (Java Expert System Shell) expert system is used as the knowledge-based tool and different gestures are generated autonomously using different rules. The KBS guarantees the predictability of the behaviors and supports to analyze the non-determinism in robot operation. With this approach, any user can generate any purposeful behaviors using simple facts and rules to demonstrate different robot action sequences. We found that KBS is highly suitable for generating synchronized and coordinated intelligent gestures in humanoid robots.
展开▼
机译：本文演示了在人形机器人上进行的实验，用于使用基于知识的系统（KBS）产生智能手势。 JESS（Java Expert System shell）专家系统用作知识的工具，不同的手势是自主生成不同规则的自主生成的。 KBS保证了行为的可预测性，并支持分析机器人操作中的非确定性。通过这种方法，任何用户都可以使用简单的事实和规则来生成任何有目的的行为来展示不同的机器人动作序列。我们发现KBS非常适合在人形机器人中产生同步和协调的智能手势。
展开▼
