Advanced Robot Motion Planning in Task-Constrained Applications Kingston University in United Kingdom

This PhD opportunity at Kingston University focuses on advanced robot motion planning in task-constrained applications. The project is situated within the Faculty of Engineering, Computing and the Environment, and is supervised by Dr M Cefalo. The research aims to develop novel approaches for motion planning in robotic systems, emphasizing two complementary strands that address both theoretical and practical challenges in robotics.

Students will engage with cutting-edge topics in robotics, automation, and intelligent systems, with a particular focus on algorithm development for path planning and control systems. The project is ideal for candidates with backgrounds in Electrical Engineering, Electronic Engineering, or Robotics, and offers the chance to contribute to the advancement of robotic kinematics and dynamics in real-world applications.

Applicants should possess strong analytical and programming skills, and prior experience in robotics or motion planning is highly desirable. The position requires a good honours degree (minimum 2:1 or equivalent) in a relevant discipline, and non-native English speakers must demonstrate language proficiency through IELTS or equivalent tests.

While funding is not currently specified, interested candidates are encouraged to review the project details and contact the supervisor for further information. The application deadline is 4 March 2026, providing ample time for prospective students to prepare their materials and apply.

For more information and to apply, please visit the project page: Advanced robot motion planning in task-constrained applications.