Contact Dr Saurabh Upadhyay
- Tel: +44 (0) 1234 754520
- Email: Saurabh.Upadhyay@cranfield.ac.uk
- Google Scholar
Background
Dr. Saurabh Upadhyay is a lecturer at the Centre for Autonomous and Cyberphysical Systems. He received his PhD in Aerospace Engineering from the Indian Institute of Science in 2018, where he developed a computationally fast robot motion planning tool from a bioassay curve. He then joinned the University of Porto as a postdoctoral researcher and worked on safe motion planning for planetary hopping rovers exploring rugged terrains. In 2019, he moved to the University of Bristol as a Research Associate under CASCADE project, where he developed fast and safe motion primitive generation approaches for agile quadrotor flights.
His research interests include planning algorithms, mobile robots autonomy, and extreme environment. His research focuses on safe and efficient autonomous robotic operations in extreme environments such as aerial and space exploration. He has published papers in top robotic/aerospace journals and conferences (IEEE RA-L, ICRA, IROS, AIAA JGCD) and two of his journal papers were mentioned in the most viewed list of IEEE RA-L and AIAA JGCD. He is a recipient of several awards, including the Engineering Faculty Post-Doctoral Research Prize from EPSRC and the University of Bristol, and the Prof. A. K. Rao Medal for Best Ph.D. Thesis in Aerospace Engineering from the Indian Institute of Science. He is endorsed as potential leader/exceptional promise by Royal Academy of Engineering in 2021.
He is a fellow of HEA, a senior member of IEEE, a senior member of AIAA, and a member of the Royal Aeronautical Society. He has chaired technical sessions in several academic events. His Erdos Number is 6 (Erdos, P. - Subbarao, M. V - Vidyasagar, M - Anderson, B. D. O - Hespanha, J. - Aguiar, A. P. - Upadhyay S.).
Research opportunities
Prospective students/post-docs: Please send your detailed CV and research statement to Saurabh.Upadhyay@cranfield.ac.uk.
Current activities
Saurabh's research interests include:
Robot autonomy and mobility
Space (planetary and in-orbit) and aerial robots
Heterogeneous robot system
Fast exploration in extreme environments
Computationally simple and low-cost robotic systems
Publications
Articles In Journals
- Mondal S & Upadhyay S. (2024). Trajectory shaping guidance for impact angle control of planetary hopping robots. Frontiers in Robotics and AI, 11
- Upadhyay S, Richardson T & Richards A. (2022). Generation of Dynamically Feasible Window Traversing Quadrotor Trajectories Using Logistic Curve. Journal of Intelligent & Robotic Systems, 105(1)
- Upadhyay S & Aguiar AP. (2020). Constrained Hopping Traversability Analysis on Non-Uniform Polygonal Chains. IEEE Access, 8
- Upadhyay S & Ratnoo A. (2018). A Point-to-Ray Framework for Generating Smooth Parallel Parking Maneuvers. IEEE Robotics and Automation Letters, 3(2)
- Upadhyay S & Ratnoo A. (2018). On Existence and Synthesis of Smooth Four Parameter Logistic Paths Inside Annular Passages. IEEE Robotics and Automation Letters, 3(4)
- Upadhyay S & Ratnoo A. (2017). Smooth Path Planning for Unmanned Aerial Vehicles with Airspace Restrictions. Journal of Guidance, Control, and Dynamics, 40(7)
- Upadhyay S & Ratnoo A. (2016). Continuous-Curvature Path Planning With Obstacle Avoidance Using Four Parameter Logistic Curves. IEEE Robotics and Automation Letters, 1(2)