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Mr Pranjal Bhatia

Mr Pranjal Bhatia

Research Associate
UNSW Canberra
School of Eng & Tech

Dr. Pranjal Bhatia earned his joint PhD in Robotics from the QUT Centre for Robotics, Australia, and IIIT Delhi, India, in 2025. His doctoral research focused on developing decentralized control frameworks for multi-agent robotic systems using control barrier functions. He is currently a Research Associate with the School of Engineering and Technology at UNSW Canberra, where he is working on decentralized frontier-led swarming for dynamic task allocation in heterogeneous UAV swarms. His research aims to design robust and adaptive coordination mechanisms that enable drone swarms to operate autonomously in complex and dynamic environments, with applications in defense, surveillance, and large-scale exploration.
Phone
+61-435090365
E-mail
pranjal.bhatia@unsw.edu.au
  • Journal articles | 2026
    Bhatia P; Roy SB; Sujit PB; Alvarez LM; McFadyen A, 2026, 'Decentralized formation control, collision avoidance and global connectivity maintenance using non-smooth barrier functions', Robotics and Autonomous Systems, 197, http://dx.doi.org/10.1016/j.robot.2025.105272
    Journal articles | 2025
    Bhatia P; Roy SB; Sujit PB; Alvarez LM; Mcfadyen A, 2025, 'Decentralized collision avoidance and global connectivity maintenance using nested control barrier functions', International Journal of Systems Science, ahead-of-print, pp. 1 - 16, http://dx.doi.org/10.1080/00207721.2025.2583240
  • Theses / Dissertations | 2025
    Bhatia P, 2025, Adaptive Flight Formation Using Control Barrier Functions, http://dx.doi.org/10.5204/thesis.eprints.261080
    Conference Papers | 2024
    Bhatia P; Roy SB; Sujit PB; Alvarez LM; McFadyen A, 2024, 'Decentralized Connectivity Maintenance for Multi-Agent Systems Using Control Barrier Functions', in 2024 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS, Institute of Electrical and Electronics Engineers (IEEE), GREECE, Chania-Crete, pp. 955 - 962, presented at 2024 International Conference on Unmanned Aircraft Systems (ICUAS), GREECE, Chania-Crete, 04 June 2024 - 07 June 2024, http://dx.doi.org/10.1109/icuas60882.2024.10557121

My research aims to enable autonomous systems to coordinate and operate safely in uncertain and dynamic environments, bridging theoretical control design with real-world multi-robot applications.