HA-ViD paper accepted at NeurIPS 2023
![](/post/havid-neurips/featured_hu63e7a0a7ff984bb0e6798459155d52ce_3027360_720x2500_fit_q80_h2_lanczos_3.webp)
We are pleased to announce the acceptance of our paper, “HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding” at the esteemed NeurIPS conference. This achievement marks a milestone in our journey toward understanding the comprehensive knowledge of assembly applications such as human-robot collaboration, robot skill learning and assembly process monitoring.
HA-ViD captures the essence of industrial human assembly scenarios through the designed Generic Assembly Box, 3-stage progressive assembly setup and consistent human-robot shared annotations. The applications of this work enables research towards understanding natural human behaviours, progressive knowledge acquisition and two-hand collaboration patterns during assembly.
For more information on HA-ViD, please visit our project website