This position involves working on a project related to the planning and control of a team of autonomous surface vehicles, for collaborative manipulation tasks on the surface of water. The objective of this position includes contributing to model development, solution, and implementation of such collaborative controllers on actual platforms, first in simulation and then on hardware. The role involves the opportunity to work with the PI's team within the National University of Singapore, as well as a large industrial partner. The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines, with a special focus on reinforcement learning, imitation learning, and generative motion modelling. The main research tasks for the project include but will not be limited to:

• Developing robust conventional and learning-based controllers for collaborative manipulation by a team of autonomous surface vehicles.
• Designing and implementing controllers in simulation and then on hardware with our partner

This position involves working on a project related to the planning and control of a team of autonomous surface vehicles, for collaborative manipulation tasks on the surface of water. The objective of this position includes contributing to model development, solution, and implementation of such collaborative controllers on actual platforms, first in simulation and then on hardware. The role involves the opportunity to work with the PI's team within the National University of Singapore, as well as a large industrial partner. The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines, with a special focus on reinforcement learning, imitation learning, and generative motion modelling. The main research tasks for the project include but will not be limited to:

• Developing robust conventional and learning-based controllers for collaborative manipulation by a team of autonomous surface vehicles.
• Designing and implementing controllers in simulation and then on hardware with our partner