中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2022, Vol. 48 ›› Issue (2): 18-28.doi: 10.3969/j.issn.1674 1579.2022.02.003

• 论文与报告 • 上一篇    下一篇

多视角视觉目标生成的空间机器人操作学习

  

  1. 北京控制工程研究所 

  • 出版日期:2022-02-26 发布日期:2022-06-13
  • 基金资助:
    国家自然科学基金资助项目(U20B2054)

Learning space robotic manipulation via multi view visual goal generation


  • Online:2022-02-26 Published:2022-06-13

摘要: 空间机器人操作一般采用多视角相机为机械臂提供视觉信息引导,全局相机引导远距离的前段操作,局部相机引导近距离的末端精细操作.针对多视角视觉信息融合与利用的自主性不足问题,提出一种多视角视觉目标生成的新方法,采用分层策略架构,将图像输入映射到SE(3)空间上,形成多视角视觉目标,并根据相对误差建立多视角目标决策机制.地面试验结果表明,该方法能够快速响应(>30 fps)多类不同尺度的操作对象,并对静态、动态遮挡具有较强鲁棒性,具备执行视触融合、长序列复杂操作任务的能力.

关键词: 空间机器人操作, 基于视觉的机器人操作, 视觉目标生成, 视触融合, 多任务学习

Abstract: For space robotic manipulation, multi view cameras are generally used to provide visual information guidance for the robotic arm. In such a configuration, the global camera guides the long distance operation while the local camera guides the proximity operation. To increase the autonomy level of multi view visual information utilization, a novel method called multi view visual goal generation is proposed in this paper, which adopts a hierarchical architecture. The goal generator maps the multi view input images to visual goals expressed in SE(3) space.Furthermore, a multi view goal decision mechanism is established according to the relative error of the generated visual goal. Experimental results demonstrate that the proposed method can respond quickly (>30 fps) to numerous manipulation objects at different scales, and meanwhile show the robustness to static and dynamic image occlusion. The capability on long sequence complex manipulation tasks with visuo tactile integration is also verified.

Key words: space robotic manipulation, vision based robotic manipulation, visual goal generation, visuo tactile integration, multi task learning

中图分类号: 

  • TP183