PhD Studentship: Autonomous Multi Robot System For Fast and Long Traversal

Updated: 2 months ago
Location: Cranfield, ENGLAND
Job Type: FullTime
Deadline: 05 Jan 2023

Autonomous multi robot system for fast and long traversal

This is an exciting opportunity for a fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University, to develop an autonomous multi-robot system for fast and long traversal in extreme planetary environments.

Fast and long traversal in extreme planetary environments is required for quality scientific data gathering, unknown region exploration, in-situ resource utilization, and future human colonization missions. Rugged terrains, extreme environments, and planetary robot/rover locomotion and capabilities (e.g., heavy payload, low speed, small operation time, onboard resources, supervised autonomy) poses challenges for a single robot/rover to achieve fast and long traversal. This thesis investigates an autonomous multi-robot system (wheeled, aerial, and/or hopping robot) as a prospective solution for fast and long traversal problem in extreme planetary environments. The focus is on developing autonomous decision-making algorithms for the multi-robot system covering large planetary area (partially known or unknown) with rugged terrains. The specific topics of interest are multirobot coordination, mission and task planning, and autonomous navigation (localization, mapping, planning, and control) with focus on low cost and simple solutions.

At a glance

  • Application deadline: 05 Jan 2023
  • Award type(s): PhD
  • Start date: 01 May 2023
  • Duration of award: 3 years
  • Eligibility: UK

Supervisor

Dr. Saurabh Upadhyay

Entry requirements

Applicants must have a first or second-class degree, and a Master’s degree or equivalent in a related discipline. Applicants should have some knowledge and experience in some of the following topics related to multi-robot system:

  • Multi-robot cooperation and/or coordination
  • Mission and task planning
  • Localization and mapping (perception)
  • Planning (path and trajectory, coverage)
  • Control (Robust and/or adaptive control)
  • Traversability analysis
  • heterogeneous robotic platforms

be familiar with planetary robotics, robot kinematics and dynamics, linear algebra, and coordinate frame transformation concepts. Advance programming skills (C++/Python, ROS, and MATLAB/Simulink), hands-on robotics experience, and proficiency in technical writing are essential. Successful applicant will carry out research activities in the aforementioned area and disseminate research outputs through scientific publications. 

Funding

Sponsored by Cranfield University, this studentship will provide a bursary up to £18,000 (tax free) plus fees* for three years. To be eligible for this funding, we require that applicants are under no restrictions regarding how long they can stay in the UK. 

About the sponsor

 Sponsored by Cranfield University, this studentship will provide a bursary up to £18,000 (tax free) plus fees* for three years. To be eligible for this funding, we require that applicants are under no restrictions regarding how long they can stay in the UK

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network.  This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

For further information please contact: 

Name: Dr Saurabh Upadhyay

Email: saurabh.upadhyay@cranfield.ac.uk  

If you are eligible to apply for this studentship, please complete the online application form via 'Apply'.


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