Research Output per year
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 proceeding › Conference 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 journal › Article
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). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference 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). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference 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 proceeding › Conference 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 work › Editorial activity