| Keywords |
Autonomous underwater vehicles
Equations > Equations of motion
Physics > Mechanics > Dynamics
Robotics
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| Content |
- Seto, M.L.; Paull, L.; Saeedi, S. (2012). Introduction to autonomy for marine robots, in: Seto, M.L. (2013). Marine robot autonomy. pp. 1-46. https://dx.doi.org/10.1007/978-1-4614-5659-9_1, more
- Benjamin, M.R.; Schmidt, H.; Newman, P.M.; Leonard, J.J. (2012). Autonomy for unmanned marine vehicles with MOOS-IvP, in: Seto, M.L. (2013). Marine robot autonomy. pp. 47-90. https://dx.doi.org/10.1007/978-1-4614-5659-9_2, more
- Rajan, K.; Py, F.; Barreiro, J. (2012). Towards deliberative control in marine robotics, in: Seto, M.L. (2013). Marine robot autonomy. pp. 91-175. https://dx.doi.org/10.1007/978-1-4614-5659-9_3, more
- Paull, L.; Saeedi, S.; Li, H. (2012). Path planning for autonomous underwater vehicles, in: Seto, M.L. (2013). Marine robot autonomy. pp. 177-223. https://dx.doi.org/10.1007/978-1-4614-5659-9_4, more
- Lane, D.; Brown, K.; Petillot, Y.; Miguelanez, E.; Patron, P. (2012). An ontology-based approach to fault tolerant mission execution for autonomous platforms, in: Seto, M.L. (2013). Marine robot autonomy. pp. 225-255. https://dx.doi.org/10.1007/978-1-4614-5659-9_5, more
- Redfield, S. (2012). Cooperation between underwater vehicles, in: Seto, M.L. (2013). Marine robot autonomy. pp. 257-286. https://dx.doi.org/10.1007/978-1-4614-5659-9_6, more
- Carreras, M.; El-fakdi, A.; Ridao, P. (2012). Behavior adaptation by means of reinforcement learning, in: Seto, M.L. (2013). Marine robot autonomy. pp. 287-328. https://dx.doi.org/10.1007/978-1-4614-5659-9_7, more
- Fallon, M.F.; Johannsson, H.; Kaess, M.; Folkesson, J.; McClelland, H.; Englot, B.J.; Hover, F.S.; Leonard, J.J. (2012). Simultaneous localization and mapping in marine environments, in: Seto, M.L. (2013). Marine robot autonomy. pp. 329-372. https://dx.doi.org/10.1007/978-1-4614-5659-9_8, more
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| Abstract |
Autonomy for Marine Robots provides a timely and insightful overview of intelligent autonomy in marine robots. A brief history of this emerging field is provided, along with a discussion of the challenges unique to the underwater environment and their impact on the level of intelligent autonomy required. Topics covered at length examine advanced frameworks, path-planning, fault tolerance, machine learning, and cooperation as relevant to marine robots that need intelligent autonomy. |
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