• Corpus ID: 237048216

Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization

@article{Yazdani2021ErgonomicallyIP,
  title={Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization},
  author={A. Yazdani and Roya Sabbagh Novin and Andrew S. Merryweather and Tucker Hermans},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.05971}
}
Ergonomics and human comfort are essential concerns in physical human-robot interaction applications, and common practical methods either fail in estimating the correct posture due to occlusion or suffer from less accurate ergonomics models in their postural optimization methods. Instead, we propose a novel framework for posture estimation, assessment, and optimization for ergonomically intelligent physical human-robot interaction. We show that we can estimate human posture solely from the… 

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