D
Dandan Zhang
Researcher at Imperial College London
Publications - 23
Citations - 318
Dandan Zhang is an academic researcher from Imperial College London. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 7, co-authored 18 publications receiving 112 citations.
Papers
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Journal ArticleDOI
Progress in robotics for combating infectious diseases.
Anzhu Gao,Robin R. Murphy,Weidong Chen,Giulio Dagnino,Giulio Dagnino,Peer Fischer,Peer Fischer,Maximiliano G. Gutierrez,Dennis Kundrat,Bradley J. Nelson,Naveen Shamsudhin,Hao Su,Jingen Xia,Ajmal Zemmar,Ajmal Zemmar,Dandan Zhang,Chen Wang,Guang-Zhong Yang +17 more
TL;DR: In this paper, the fundamental requirements for robotics for infectious disease management and outline how robotic technologies can be used in different scenarios, including disease prevention and monitoring, clinical care, laboratory automation, logistics, and maintenance of socioeconomic activities.
Journal ArticleDOI
A Self-Adaptive Motion Scaling Framework for Surgical Robot Remote Control
TL;DR: The overall performance of the operators in terms of control efficiency and task completion is significantly improved with the proposed framework, and a suitable motion-scaling ratio can be obtained and adjusted online.
Journal ArticleDOI
Automatic Microsurgical Skill Assessment Based on Cross-Domain Transfer Learning
Dandan Zhang,Zicong Wu,Junhong Chen,Anzhu Gao,Xu Chen,Peichao Li,Zhao-Yang Wang,Guitao Yang,Benny Lo,Guang-Zhong Yang +9 more
TL;DR: An in-house Microsurgical Robot Research Platform Database (MRRPD) is built with data collected from a microsurgical robot research platform (MRRP) and used to verify the proposed cross-domain transfer learning for RAMS skill level assessment.
Proceedings ArticleDOI
Supervised Semi-Autonomous Control for Surgical Robot Based on Banoian Optimization
Junhong Chen,Dandan Zhang,Adnan Munawar,Ruiqi Zhu,Benny Lo,Gregory S. Fischer,Guang-Zhong Yang +6 more
TL;DR: In this paper, a haptic rendering interface is presented to enable supervised semi-autonomous control for a surgical robot in order to tune user-specific parameters during the surgical training process.
Journal ArticleDOI
A microsurgical robot research platform for robot-assisted microsurgery research and training
TL;DR: The MRRP can be utilized for microsurgical skills training, since motion kinematic data and vision data can provide objective means of verification and scoring, and can further be used for verifying high-level control algorithms and task automation for RAMS research.