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 worked as a postdoctoral researcher at the University of Porto, where he worked on safe motion planning for planetary hopping rovers exploring rugged terrains. In 2019, he joined the University of Bristol as a Research Associate, 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 an associate fellow of HEA, a senior member of IEEE, member of the Royal Aeronautical Society, and a lifetime AIAA member. 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
Conference Papers
- McDonnell C, Arana-Catania M & Upadhyay S. (2023). Autonomous robotic arm manipulation for planetary missions using causal machine learning
- Zhang YQJ, Wright R, Alao S, Arora TP, Fernandes JN, .... (2023). In-Orbit Assembly: A Baseline for Large Space Structures through Standardised Tiles and Interfaceable Elements
- Bhadani S, Dillikar SR, Pradhan ON, Cotrina de los Mozos I, Felicetti L, .... (2023). A ROS-based simulation and control framework for in-orbit multi-arm robot assembly operations
- Upadhyay S & Aguiar AP. (2021). A Voronoi-Based Safe Waypoint Generator for Hopping Robots Exploring Large Celestial Bodies
- Upadhyay S, Richardson T & Richards A. (2021). Fast Generation of Obstacle-Avoiding Motion Primitives for Quadrotors
- Upadhyay S, Richards A & Richardson T. (2020). Generation of Window-Traversing Flyable Trajectories Using Logistic Curve
- Upadhyay S & Aguiar AP. (2019). Local Trajectory Generation for Hopping Robots Exploring Celestial Bodies
- Upadhyay S & Ratnoo A. (2016). Smooth Trajectory Planning for MAVs with Airspace Restrictions
- Upadhyay S & Ratnoo A. (2015). Smooth path planning for passages with heading and curvature discontinuities