CV

Education

• B.S. in Electromechanical Engineering, National University of Central Buenos Aires, 2015
• Ph.D in Engineering, National University of Central Buenos Aires, 2019

Work experience

• 2021-Current: Research Assistant
  • The University of Edinburgh
  • Duties included: Research, supervising students
  • Supervisor: Dr. Stefano V. Albrecht
• 2020-2021: Research Assistant
  • Louisiana State University
  • Duties included: Research, teaching, supervising students
  • Supervisor: Dr. Corina Barbalata
• 2015-2020: PhD Researcher
  • National University of Central Buenos Aires
  • Duties included: Research
  • Supervisor: Dr. Gerardo G. Acosta

Teaching

Instructor ME 2543 Spring

Instructor ME 2543 Fall

Teaching Assistant

Student Teaching Assistant

Selected Publications

An adaptive data-driven controller for underwater manipulators with variable payload

Carlucho Ignacio, Dylan W. Stephens, Corina Barbalata. (2021). "An adaptive data-driven controller for underwater manipulators with variable payload." Applied Ocean Research .

MPPT for PV systems using deep reinforcement learning algorithms

Avila L., De Paula, M., Carlucho, I., Sanchez Reinoso, C. (2019). " MPPT for PV systems using deep reinforcement learning algorithms." IEEE Latin America Transactions .

An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots

Carlucho, I., De Paula, M., Acosta, G.G. (2020). " An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots." ISA Transactions .

Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids

Avila L., De Paula, M., Trimboli, M., Carlucho, I. (2020). " Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids ." Applied Soft Computing .

Double Q-PID algorithm for mobile robot control

Carlucho, I., De Paula, M., Acosta, G.G. (2019). " Double Q-PID algorithm for mobile robot control." Expert Systems with Applications .

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

Carlucho, I., De Paula, M., Wang S., Petillot Y.R. Acosta, G.G. (2018). " Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning." Robotics and Autonomous Systems.

Incremental Q-learning strategy for adaptive PID control of mobile robots”

Carlucho, I., De Paula, M., Villar, S.A., Acosta, G.G.. (2017). " Incremental Q-learning strategy for adaptive PID control of mobile robots." Expert Systems with Applications . 80, pp. 183-199