Howdy! I am a Ph.D. student in Computer Science at Texas A&M University-Corpus Christi, working under the supervision of Prof. José Baca at the Collaborative Robots and Agents Laboratory. My research focuses on motion planning for multi-UAV and multi-robot systems in dynamic, unknown environments, considering both static and dynamic obstacles. I employ traditional motion planning techniques alongside machine learning approaches, including Reinforcement Learning and Inverse Reinforcement Learning, to develop robust and adaptive navigation solutions. A key aspect of my work involves risk-aware motion planning, knowledge sharing between robots to avoid adverse conditions, and transfer learning to exchange learned experiences and improve performance in real-time.

Before my Ph.D., I was working as a Team Lead in the Control, Automotive and Robotics Laboratory (CARL), a part of the National Centre of Robotics and Automation (NCRA) consortium. I mainly worked on an autonomous socially assistive robot and a search and rescue snake like robot. From June 2019 to September 2019, I worked as a visiting researcher at the Robotics Research Lab (RRLab) at TU Kaiserslautern, Germany.

My research Interests lie broadly in robotics and machine learning, mainly in Motion Planning, Control, and Trajectory Optimization problems and I have good hands-on ROS, C/C++, Python, PyTorch, simulation environments such as CoppeliaSim, Gazebo, Unreal engine, and robotic platforms mainly crazyflie drones and VICON/Opti-track systems.