Imperial College London

DrSenWang

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
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Contact

 

sen.wang

 
 
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Location

 

Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

Dr Sen Wang is a Senior Lecturer (Associate Professor) in Robotics and Autonomous Systems at the Department of Electrical and Electronic Engineering and Imperial-X, Imperial College London. Previously, he was an Associate Professor at Edinburgh Centre for Robotics and a post-doctoral researcher at the University of Oxford.

His research sits at the intersection of robotics, computer vision and machine learning, driving robots and intelligent machines to understand and operate autonomously in unstructured, dynamic environments through probabilistic and learning approaches. His main research areas include robot localisation, autonomous navigation, SLAM, robot vision and robot learning.

He was awarded the 2022 AI Most Influential Scholar Award Honourable Mention in Robotics. He serves as Associate Editors of IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, ICRA and IROS.

A full list of his publications can be found on Google Scholar


🛑? Recruitment 🛑?

We are looking for self-motivated and hard-working students to join our group on robotics research! Please contact me (my email is on the left of this page) if you are interested.</

Selected Publications

Journal Articles

Luo D, Zhuang Y, Wang S, 2022, Hybrid sparse monocular visual odometry with online photometric calibration, International Journal of Robotics Research, ISSN:0278-3649, Pages:027836492211077-027836492211077

Hong Z, Petillot Y, Wallace A, et al., 2022, RadarSLAM: A robust simultaneous localization and mapping system for all weather conditions, International Journal of Robotics Research, Vol:41, ISSN:0278-3649, Pages:519-542

Yang B, Wang S, Markham A, et al., 2020, Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction, International Journal of Computer Vision, Vol:128, ISSN:0920-5691, Pages:53-73

Wang S, Clark R, Wen H, et al., 2018, End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks, International Journal of Robotics Research, Vol:37, ISSN:0278-3649, Pages:513-542

Conference

Zhang K, Hong Z, Xu S, et al., CURL: Continuous, Ultra-compact Representation for LiDAR, Robotics: Science and Systems 2022, Robotics: Science and Systems Foundation

Vargas E, Scona R, Willners JS, et al., 2021, Robust Underwater Visual SLAM Fusing Acoustic Sensing, 2021 IEEE International Conference on Robotics and Automation (ICRA), IEEE

Sheeny M, De Pellegrin E, Mukherjee S, et al., 2021, RADIATE: A Radar Dataset for Automotive Perception in Bad Weather, 2021 IEEE International Conference on Robotics and Automation (ICRA), IEEE

Bo Y, Jianan W, Clark R, et al., 2019, Learning object bounding boxes for 3D instance segmentation on point clouds, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Neural Information Processing Systems Foundation, Inc.

Hong Z, Petillot Y, Lane D, et al., 2019, TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts, 2019 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE

More Publications