More Like this

1. Failing to Grasp our Failure to Grasp Automation Failure

   https://doi.org/10.1177/15553434241228799  

   Chiou, Erin K (January 2024, Journal of Cognitive Engineering and Decision Making)

   This paper discusses three points inspired by Skraaning and Jamieson’s perspective on automation failure: (a) the limitations of the automation failure concept with expanding system boundaries; (b) parallels between the failure to grasp automation failure and the failure to grasp trust in automation; (c) benefits of taking a pluralistic approach to definitions in sociotechnical systems science. While a taxonomy of automation-involved failures may not directly improve our understanding of how to prevent those failures, it could be instrumental for identifying hazards during test and evaluation of operational systems. 

   more » « less
2. Push-grasp policy learning using equivariant models and grasp score optimization

   Hu, B; Tian, H; Wang, D; Huang, H; Zhu, X; Walters, R; Platt, R (June 2025, IEEE Robotics Automation Letters (RAL))
3. Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization

   https://doi.org/10.1109/LRA.2025.3606392  

   Hu, Boce; Tian, Heng; Wang, Dian; Huang, Haojie; Zhu, Xupeng; Walters, Robin; Platt, Robert (November 2025, IEEE Robotics and Automation Letters)
4. Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection

   https://doi.org/10.1109/ICRA48891.2023.10160728  

   Huang, Haojie; Wang, Dian; Zhu, Xupeng; Walters, Robin; Platt, Robert (May 2023, Proceedings IEEE International Conference on Robotics and Automation)
5. Edge Grasp Network: A Graph-Based SE (3)-invariant Approach to Grasp Detection

   Huang, H. (January 2023, IEEE International Conference on Robotics and Automation)