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10.I. Carlucho, M. de Paula, C. Barbalata, and G.G. Acosta, “A reinforcement learning control approach for underwater manipulation under position and torque constraints”, Proc. Global OCEANS Conf. and Exp., Singapore, 2020.

9.C. Barbalata, R. Vasudevan, and M. Johnson-Roberson, “A constrained control-planning strategy for redundant manipulators”, Proc. IEEE Intl. Conf. Robotics and Automation , pp. 3073–3079, 2019.

8.C. Barbalata, E. Olson, L. Chrobak, R. Camilli, and M. Johnson-Roberson, “From teleoperation to autonomy for hydraulic underwater manipulators”, in Astrobiology Science Conference, 2019.

7.A. Olson, C. Barbalata, J. Zhang, K. A. Skinner, and M. Johnson-Roberson, “Synthetic data generation for deep learning of underwater disparity estimation”, in MTS/IEEE OCEANS Charleston , 2018.

6.E. Iscar, C. Barbalata, N. Goumas, and M. Johnson-Roberson, “Towards low cost, deep water AUV optical mapping”, in MTS/IEEE OCEANS Charleston , 2018.

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