对手击球行为预测和球位置控制,用于乒乓球机器人
Yunfeng Ji1, Yue Mao2, Fangfei Suo2
1Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China.
Biomimetics (Basel, Switzerland)
|June 27, 2023
概括
这项研究介绍了一种新的乒乓球机器人框架,可以适应对手的击球行为,以提高准确性. 该系统对对手的动作进行分类,并使用专门的机械结构和视觉模块来准确地返回球.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 运动技术技术 运动技术
背景情况:
- 乒乓球机器人控制通常忽略了对手的互动,限制了击球准确度.
- 现有的系统缺乏适应不同对手的游戏风格的适应性.
研究的目的:
- 开发一个先进的乒乓球机器人框架,包括对手击球行为分析.
- 为了提高乒乓球的回球精度和机器人适应性.
主要方法:
- 将对手的击球分为四类:前手攻击,前手摩擦,后手攻击和后手摩擦.
- 设计一个带有二维滑动轨的机器人手臂,以扩大工作空间.
- 集成一个视觉模块来捕捉对手的运动序列.
- 使用五项多项式轨迹规划,以基于预测的球轨迹进行平滑的机器人运动控制.
主要成果:
- 拟议的框架证明了有效整合对手回球行为分析.
- 专门的机械结构和视觉模块使全面的运动捕捉和工作空间覆盖成为可能.
- 五项多项式轨迹规划确保了机器人的平稳和稳定的打击控制.
- 实验结果验证了该策略在实现精确球回报方面的有效性.
结论:
- 这种新的框架通过考虑对手的行为,显著提高了乒乓球机器人的表现.
- 该系统为机器人乒乓球中的适应性和准确球回报提供了强大的解决方案.
- 这项研究在动态体育环境中推进了人机交互领域.
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