Hello! My name is Rakesh, and I am currently a Ph.D. student in Robotics at the Oregon State University Robotic Decision Making Laboratory, under the guidance of Dr. Geoffrey A. Hollinger. My thesis focuses on unifying perception, learning, and control for dynamic underwater environments to enable robust autonomy for marine robots operating in challenging conditions. In particular, my research investigates methods that combine task-aware perception, online probabilistic learning, and safety-critical control to enable persistent and reliable robotic operation in dynamic underwater environments.
Developing navigation and control software for autonomous underwater vehicles and supporting subsea systems.
Advised an open-source contributor in migrating a physics-based sonar plugin to ROS 2 Jazzy and Gazebo Harmonic. [blog] [docs] [code]
Contributed to migrating Project DAVE, an underwater robotics simulator, to ROS 2 Jazzy and Gazebo Harmonic, including launch files, robot models, sensor plugins, and documentation. [blog] [docs] [code]
Developed extensions for autonomous ROV operations and improved ArduSub capabilities. Also worked on the integration of DVL, GPS, and an imaging sonar sensor.
Developed a navigation stack for multi-robot coordination in a kitchen environment. Designed and implemented a high-level finite state machine using ROS. Integrated RTAB-Map for localization and mapping of the environment.
Worked on visual-servoing and trajectory optimization of a 2 DOF industrial robot manipulator. Implemented computed-torque control for smooth and precise control of the manipulator.
Worked on perception and motion planning of aerial robots for various applications, such as warehouse inventory management, drone show and wind turbine inspection.
M. Chen, R. Vivekanandan, C. J. Rusch, D. Okushemiya, D. Manalang, B. Robertson, G. Hollinger, "A unified simulation framework for wave energy powered underwater vehicle docking and charging," Applied Energy, vol. 361, pp. 122877, February 2024.
V.G. Rajanbabu, R. Ramasubbu, P. Balaji, R. Vivekanandan, S. Srinivasan, “Improved grey wolf optimizer for an optimal tuning of PID controller in the quarter-car suspension system,” Journal of Advanced Research in Dynamical and Control Systems, special issue – 10, pp. 1123-1132, 2018.
R. Vivekanandan, D. Chang, G. A. Hollinger, “Autonomous Underwater Docking using Flow State Estimation and Model Predictive Control,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), pp. 1062-1068, London, United Kingdom, 2023.
G. Andres, R. Vivekanandan, and G. Hollinger, "Opti-acoustic SLAM for autonomous docking localization," in Proc. University Marine Energy Research Community (UMERC) Conference, Corvallis, OR, August 2025. Winner of Outstanding Student Poster Award.
R. Vivekandan and G. Hollinger, "Autonomous underwater docking and recharging," in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems Workshop on Robotics for the Blue Economy and Climate Resiliency (IROS), Detroit, MI, October, 2023.
R. Vivekanandan, D. Chang, and G. A. Hollinger,“Flow state estimation and optimal control for autonomous underwater docking,” in Proc. University Marine Energy Research Community (UMERC) Conference, Portland, OR, September 2022 (Abstract and Poster).
M. Chen, R. Vivekanandan, C. Rusch, B. Robertson, G. A. Hollinger,“A framework for wave-to-wire simulation of wave energy converters for autonomous underwater vehicle recharging,” in Proc. University Marine Energy Research Community (UMERC) Conference, Portland, OR, September 2022 (Abstract).
R. Vivekanandan, D. Chang, G. A. Hollinger, “Model predictive control for underwater vehicle rendezvous and docking with a wave energy converter,” in Proc. IEEE International Conference on Robotics and Automation Workshop on Reliable AI for Marine Robotics: Challenges and Opportunities (IROS), virtual, October, 2021 (Abstract).