epaner

EPANer Robotics Team

About
Members
Approaches
Publications
Media
Sponsors

News

[12 September 2021]: EPANer won the runner-up (out of 5 remote teams) in the World Robot Challenge 2020! Please check out our performance!

[10 December 2020]: Check out our Stage-gate Progress Video for the World Robot Challenge 2020 2nd round selection!

[6 November 2019]: EPANer is qualified for the 1st round of World Robot Challenge 2020 selection!

[5 September 2019]: EPANer Team Description Paper for World Robot Challenge 2020 is on arXiv!

[4 September 2019]: EPANer Team Introduction Video for World Robot Challenge 2020 is on YouTube!

[21 October 2018]: EPANer took 5th place (out of 14 on-site teams) in the World Robot Challenge 2018!

[4 October 2018]: 88 set off for Japan to participate in the World Robot Challenge 2018!

[21 September 2018]: 88, bring me coffee!

[31 August 2018]: We received the Toyota HSR robot, welcome 88!

[20 April 2018]: We got selected to be on the World Robot Challenge 2018!

About

The EPANer is a team representing the EPAN Research Group at the University of Technology of Belfort-Montbéliard (UTBM) in France, founded in January 2018 to participate in robotics competitions, supported by Toyota Motor Corporation (TMC) and World Robot Summit (WRS). An important philosophy and research work of the EPAN Research Group is to advance technologies in the field of intelligent transportation systems (especially in autonomous driving) with a view to improving travel safety and productivity for human society. The EPANer robotics team will uphold this philosophy, while wishing to promote engineering and research in the field of service robotics, in order to meet the challenges such as aging population, labor costs and productivity, and natural disasters. For our research results, please refer to https://yzrobot.github.io/MACPOLO/.

Members


Zhi Yan Assistant Professor Team Leader (since 2018)	Li Sun Assistant Professor Team Member (since 2018)	Fahad Lateef Ph.D. Student Team Member (since 2018)	Yassine Ruichek Professor Team Advisor (since 2018)	88 Robot Team Member (since 2018)


Nathan Crombez Assistant Professor Team Member (since 2018)	Thomas Duvinage Undergraduate Team Member (since 2019)	Ahmed Noubli Undergraduate Team Member (since 2019)	Jocelyn Buisson Research Engineer Team Member (since 2019)

Contributors


Tao Yang

Interests

Robot Navigation
Object Recognition and Pose Estimation
Object Manipulation
Human Recognition and Tracking
Semantic Mapping

Open Source

Li Sun, Cheng Zhao, Zhi Yan, Pengcheng Liu, Tom Duckett, and Rustam Stolkin. A Novel Weakly-supervised approach for RGB-D-based Nuclear Waste Object Detection and Categorization. IEEE Sensors Journal, 2018.
Nathan Crombez, Guillaume Caron, Takuya Funatomi, and Yasuhiro Mukaigawa. Reliable planar object pose estimation in light-fields from best sub-aperture camera pairs. IEEE Robotics and Automation Letters, 2018.
Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, and Tom Duckett. Recurrent-OctoMap: Learning State-Based Map Refinement for Long-Term Semantic Mapping With 3-D-Lidar Data. IEEE Robotics and Automation Letters, 2018.
Zhi Yan, Li Sun, Tom Duckett, and Nicola Bellotto. Multisensor online transfer learning for 3D LiDAR-based human detection with a mobile robot. In Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 2018.
Li Sun, Zhi Yan, Sergi Molina Mellado, Marc Hanheide, and Tom Duckett. 3DOF pedestrian trajectory prediction learned from long-term autonomous mobile robot deployment data. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 2018.
Ibrahim Kajo, Nidal S. Kamel, Yassine Ruichek, Aamir Saeed Malik. SVD-Based Tensor-Completion Technique for Background Initialization. IEEE Transactions on Image Processing, 27(6): 3114-3126, 2018.
Zhi Yan, Tom Duckett, and Nicola Bellotto. Online learning for human classification in 3D LiDAR-based tracking. In Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 2017.