More Like this

1. Modeling Grasp Type Improves Learning-Based Grasp Planning

   https://doi.org/10.1109/LRA.2019.2893410  

   Lu, Qingkai ; Hermans, Tucker ( April 2019 , IEEE Robotics and Automation Letters)
2. Edge Grasp Network: A Graph-Based SE (3)-invariant Approach to Grasp Detection

   Huang, H. ( January 2023 , IEEE International Conference on Robotics and Automation)
3. ECNNs: Ensemble Learning Methods for Improving Planar Grasp Quality Estimation

   https://doi.org/10.1109/ICRA48506.2021.9561038  

   Alladkani, Fadi ; Akl, James ; Calli, Berk ( May 2021 , 2021 IEEE International Conference on Robotics and Automation (ICRA))

   null (Ed.)
4. Grasp State Classification in Agricultural Manipulation

   https://doi.org/10.1109/IROS55552.2023.10341881  

   Walt, Benjamin ; Krishnan, Girish ( October 2023 , IEEE)
5. The Development and Validation of the Social Enterprise of Science Index (SESI): An Instrument to Measure Grasp of the Social-Institutional Aspects of Science

   https://doi.org/10.1177/21582440211016411  

   Huxster, Joanna K. ; Slater, Matthew H. ; Landrum, Asheley R. ( April 2021 , SAGE Open)

   Significant gaps remain between public opinion and the scientific consensus on many issues. We present the results of three studies ( N = 722 in total) for the development and testing of a novel instrument to measure a largely unmeasured aspect of scientific literacy: the enterprise of science, particularly in the context of its social structures. We posit that this understanding of the scientific enterprise is an important source for the public’s trust in science. Our results indicate that the Social Enterprise of Science Index (SESI) is a reliable and valid instrument that correlates positively with trust in science ( r = .256, p < .001), and level of education ( r = .245, p < .001). We also develop and validate a six question short version of the SESI for ease of use in longer surveys. 

   more » « less