Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control
Jason M. Gregory, Christopher Reardon, Kevin Lee, Geoffrey White, Ki Ng, Caitlyn Sims
- 发表年份
- 2019
- 访问权限
- 开放获取
摘要
Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effective human-robot team is efficient information exchange - both from the human to the robot as well as from the robot to the human. In this work, we present and analyze an augmented reality-enabled, gesture-based system that supports intuitive human-robot teaming through improved information exchange. Our proposed system requires no external instrumentation aside from human-wearable devices and shows promise of real-world applicability for service-oriented missions. Additionally, we present preliminary results from a pilot study with human participants, and highlight lessons learned and open research questions that may help direct future development, fielding, and experimentation of autonomous HRI systems.
关键词
相关论文
工业5.0中人机协作的多模态感知、互认知与具身执行综述与展望
Kai Ding, Qingyuan Mao, Yaqian Zhang 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026
迈向以人为中心的制造:人机协作装配中不确定性下的任务规划
Yingchao You, Ze Ji, Changyun Wei
Robotics and Computer-Integrated Manufacturing · 2026
代理式人机协作:通过记忆实现上下文对齐
Jiahui Si, Wenchao Li, Xi Chen 等 7 位作者
Robotics and Computer-Integrated Manufacturing · 2026
自适应物理信息Transformer结合高斯过程残差补偿用于人机协作中的逆动力学建模
Rui Qian, Xi Zhang, Dongpeng Li 等 5 位作者
Robotics and Computer-Integrated Manufacturing · 2026