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Kevin Li Sun
Kevin Li Sun
Lecturer, University of Sheffield
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Accurate garment surface analysis using an active stereo robot head with application to dual-arm flattening
L Sun, G Aragon-Camarasa, S Rogers, JP Siebert
2015 IEEE International Conference on Robotics and Automation (ICRA), 185-192, 2015
1182015
3DOF pedestrian trajectory prediction learned from long-term autonomous mobile robot deployment data
L Sun, Y Zhi, S Molina-Mellado, M Hanheide, T Duckett
2018 IEEE International Conference on Robotics and Automation (ICRA), 5942-5948, 2018
1172018
A novel weakly-supervised approach for RGB-D-based nuclear waste object detection
L Sun, C Zhao, Z Yan, P Liu, T Duckett, R Stolkin
IEEE Sensors Journal 19 (9), 3487-3500, 2018
1072018
Recurrent-OctoMap: Learning state-based map refinement for long-term semantic mapping with 3D-LiDAR data
L Sun, Z Yan, A Zaganidis, C Zhao, T Duckett
IEEE Robotics and Automation Letters, 2018
912018
Integrating deep semantic segmentation into 3D point cloud registration
A Zaganidis, L Sun, T Duckett, G Cielniak
IEEE Robotics and Automation Letters, 2018
842018
EU Long-term Dataset with Multiple Sensors for Autonomous Driving
Z Yan, L Sun, T Krajnik, Y Ruichek
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
832020
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation
Z Zhou*, C Zhao*, D Adolfsson, S Su, Y Gao, T Duckett, L Sun
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
672021
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition
C Zhao, L Sun, R Stolkin
2017 International Conference on Advanced Robotics (ICAR), 2017
522017
A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control
P Liu, MN Huda, L Sun, H Yu
Mechatronics 72, 102443, 2020
512020
Recognising the clothing categories from free-configuration using Gaussian-Process-based interactive perception
L Sun, S Rogers, G Aragon-Camarasa, JP Siebert
2016 IEEE International Conference on Robotics and Automation (ICRA), 2464-2470, 2016
492016
A heuristic-based approach for flattening wrinkled clothes
L Sun, G Aragon-Camarasa, P Cockshott, S Rogers, JP Siebert
Towards Autonomous Robotic Systems: 14th Annual Conference, TAROS 2013 …, 2014
482014
Learning monocular visual odometry with dense 3D mapping from dense 3D flow
C Zhao, L Sun, P Purkait, T Duckett, R Stolkin
2018 International Conference on Intelligent Robots and Systems (IROS), 2018
462018
Single-shot clothing category recognition in free-configurations with application to autonomous clothes sorting
L Sun, S Rogers, R Stolkin, JP Siebert
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
422017
Multisensor online transfer learning for 3d lidar-based human detection with a mobile robot
Z Yan, L Sun, T Duckctr, N Bellotto
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
392018
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments
L Sun, D Adolfsson, M Magnusson, H Andreasson, I Posner, T Duckett
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
362020
Dense RGB-D semantic mapping with pixel-voxel neural network
C Zhao, L Sun, P Purkait, T Duckett, R Stolkin
arXiv preprint arXiv:1710.00132, 2018
352018
Learning Kalman Network: A deep monocular visual odometry for on-road driving
C Zhao, L Sun, Z Yan, G Neumann, T Duckett, R Stolkin
Robotics and Autonomous Systems, 2019
312019
3D ToF LiDAR in Mobile Robotics: A Review
T Yang, Y Li, C Zhao, D Yao, G Chen, L Sun, T Krajnik, Z Yan
arXiv preprint arXiv:2202.11025, 2022
252022
Generative Localization With Uncertainty Estimation Through Video-CT Data for Bronchoscopic Biopsy
C Zhao, M Shen, L Sun, GZ Yang
IEEE Robotics and Automation Letters 5 (1), 258-265, 2019
242019
Weakly-supervised DCNN for RGB-D object recognition in real-world applications which lack large-scale annotated training data
L Sun, C Zhao, R Stolkin
arXiv preprint arXiv:1703.06370, 2017
242017
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