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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
Wheelchairs Engineering & Materials Science
Robotics Engineering & Materials Science
Robots Engineering & Materials Science
Observability Engineering & Materials Science
Sensors Engineering & Materials Science
Extended Kalman filters Engineering & Materials Science
Fish 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

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

Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning

Carlucho, I., De Paula, M., Wang, S., Petillot, Y. & Acosta, G. G., Sep 2018, In : Robotics and Autonomous Systems. 107, p. 71-86 16 p.

Research output: Contribution to journalArticle

Autonomous underwater vehicles
Level control
Reinforcement learning
Energy utilization
Decision making

Activities 2018 2018

  • 1 Editorial activity

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

Wang, S. (Editorial board member)
10 Sep 2018 → …

Activity: Publication peer-review and editorial workEditorial activity