Serena Ivaldi

We address the problem of grasping unknown objects identified from top-down images with a parallel gripper. When no object 3D model is available, the state-of-the-art grasp generators identify the best candidate locations for planar grasps using the RGBD image.

Acknowledgement(s) The authors would like to thank Pr. Malikov and Dr. Settembre from the department of vascular surgery of the University Hospital of Nancy for facilitating access to the medical staff of the department. The authors would also like to thank the nurses and staff of the department of vascular surgery for their help and kind participation during the observation study. Disclosure statement The authors report there are no competing interests to declare.

Join me, Serena Ivaldi, at the 2021 IEEE Women in Engineering International Leadership Conference (WIE ILC)! ' Research Scientist (tenured), INRIA From humanoid robotics to exoskeletons for helping the medical staff in the ICU during COVID-19 At the surge of the COVID-19 pandemic, the University Hospital of Nancy contacted me to get help with their situation in the Intensive Care Unit (ICU).