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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Autonomous underwater vehicles Engineering & Materials Science
Robots Engineering & Materials Science
Sensors Engineering & Materials Science
Wheelchairs Engineering & Materials Science
Robotics Engineering & Materials Science
Observability Engineering & Materials Science
Cameras Engineering & Materials Science
Extended Kalman filters Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2019

AUV Position Tracking Control Using End-to-End Deep Reinforcement Learning

Carlucho, I., De Paula, M., Wang, S., Menna, B. V., Petillot, Y. & Acosta, G. G., 10 Jan 2019, OCEANS 2018 MTS/IEEE Charleston. IEEE, 8604791. (OCEANS MTS/IEEE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Autonomous underwater vehicles
Reinforcement learning
Navigation
Dynamic models
Robotics

Deep Sensor Fusion between 2D Laser Scanner and IMU for Mobile Robot Localization

Li, C., Wang, S., Zhuang, Y. & Yan, F., 12 Apr 2019, In : IEEE Sensors Journal.

Research output: Contribution to journalArticle

Open Access
File
Mobile robots
Fusion reactions
Lasers
Sensors
Neural networks

Global Localization with Object-Level Semantics and Topology

Liu, Y., Petillot, Y., Lane, D. & Wang, S., 30 Jan 2019, (Accepted/In press) 2019 IEEE International Conference on Robotics and Automation (ICRA). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning

Saputra, M. R. U., Gusmão, P. P. B. D., Wang, S., Markham, A. & Trigoni, N., 30 Jan 2019, (Accepted/In press) IEEE International Conference on Robotics and Automation (ICRA). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3D-PhysNet: Learning the intuitive physics of non-rigid object deformations

Wang, Z., Rosa, S., Yang, B., Wang, S., Trigoni, N. & Markham, A., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, p. 4958-4964 7 p. (Proceedings of the International Joint Conference on Artificial Intelligence IJCAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Physics
Augmented reality
Materials properties
Robotics
Physical properties

Activities 2018 2018

  • 1 Editorial activity

International Conference on Robotics and Automation (ICRA) (Event)

Sen Wang (Editorial board member)
10 Sep 2018 → …

Activity: Publication peer-review and editorial workEditorial activity