Weiwei Wan (Senior Member, IEEE) received the Ph.D. degree in robotics from the Department of Mechano-Informatics, The University of Tokyo, Tokyo, Japan, in 2013. From 2013 to 2015, he was a Postdoctoral Researcher with Carnegie Mellon University, Pittsburgh, PA, USA, under the support of Japan Society for the Promotion of Science (JSPS).

My major interest is smart manufacturing using dual-arm robots: Developing and deploying grasping planning, motion planning, and other low level and high level task planning algorithms for next-generation factories. I am also studying visual perception, force control, and learning approaches to make up the inherent shortages of planning algorithms.

‪MST UCSD‬ - ‪‪Cited by 1,043‬‬ - ‪plasmonics and metamaterials‬

Wei Wan (万伟) School of CSE, Huazhong University of Science and Technology (HUST) ... M Li, W Wan, Y Ning, S Hu, L Xue, LY Zhang, Y Wang. IJCAI 2024, 2024. 5: 2024: Misa: Unveiling the vulnerabilities in split federated learning. W Wan, Y Ning, S Hu, L Xue, M Li, LY Zhang, H Jin.

Wei Wan *, Jie Zhang, Liyun Dai, Hong Liang *, Ting Yang, Baojian Liu, Zhizhou Guo, Heng Hu, Limin Zhao. A new snow depth data set over northern China derived using GNSS interferometric...

Integrating a Manual Pipette into a Collaborative Robot Manipulator for Flexible Liquid Dispensing, Junbo Zhang, Weiwei Wan, Nobuyuki Tanaka, Miki Fujita, and Kensuke Harada, IEEE Transactions on Automation Science and Engineering (TASE), 2023. Video.

Wei WAN, Research Associate Professor | Cited by 1,755 | of Peking University, Beijing (PKU) | Read 87 publications | Contact Wei WAN

Weiwei Wan via Scopus - Elsevier Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning Proceedings - IEEE International Conference on Robotics and Automation

Weiwei Wan Pronouns: he/himAssociate Professor, Graduate School of Engineering Science, Osaka University. Joined ; June 2022

My major interest is smart manufacturing using dual-arm robots: Developing and deploying grasping planning, motion planning, and other low level and high level task planning algorithms for next-generation factories. I am also studying visual perception, force control, and learning approaches to make up the inherent shortages of planning algorithms.