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Legged robot gait locus generation based on genetic algorithms

机译:基于遗传算法的腿式机器人步态轨迹生成

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摘要

Currently, cognitive systems like intelligent agents and autonomous robots can perform complex tasks in unstructured and dynamic environments. Advances in intelligent agents and autonomous robotics over the last decade have been extraordinary, and the potential for future scientific breakthroughs and applications is breathtaking. At the present time, however, a number of research bottlenecks to future advancement have been identified such as the creation of robots that know what they are doing, and that can adapt to changing conditions and requirements. >This volume contains the papers presented at the Intemational Symposium on Practical Cognitive Agents and Robots (PCAR) which takes a contemporary transdisciplinary view of cognitive systems. This symposium seeks to move the research frontier by focusing on the scientific bottlenecks, namely equipping robots with more knowledge about internal representations and the external world, as well as developing an awareness of oneself and others. >PCAR has attracted research that describes practical ideas and results from human-robot interaction to high-level reasoning capabilities. The papers and invited talks address the following important issues: >• Life-long interaction between robots and humans >• Grounding representations to sensorimotor experiences >• Integrating knowledge representation into behaviour based robots >• Inter-robot and human-robot interaction and collaboration >• Cognitive robotic unmanned aerial vehicle applications >• Robot perception, world modelling, and planning
机译:当前,诸如智能代理和自主机器人之类的认知系统可以在非结构化和动态环境中执行复杂的任务。在过去的十年中,智能代理和自主机器人技术取得了非凡的进步,未来科学突破和应用的潜力令人叹为观止。但是,目前,已经确定了许多对未来发展的研究瓶颈,例如创建了知道自己正在做什么并且可以适应不断变化的条件和要求的机器人。

本卷包含在实用认知代理和机器人国际研讨会(PCAR)上发表的论文,该论文采用当代认知系统的跨学科观点。本次研讨会旨在通过关注科学瓶颈来转移研究前沿,即为机器人配备有关内部表示和外部世界的更多知识,以及发展对自身和他人的认识。

PCAR吸引了这项研究描述了从人机交互到高级推理功能的实践思想和结果。论文和邀请的演讲解决了以下重要问题:

•机器人与人类之间的终生互动

•感觉运动体验的基础表示

•知识整合行为机器人的表征

•机器人间和人机交互与协作

•认知机器人无人飞行器应用

•机器人感知,世界建模和计划

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