Joslin Numbi
Papers
3
Total Citations
16
H-Index
3
About
Joslin Numbi is at the forefront of a revolutionary convergence—applying quantum computing principles to advance autonomous robotics. His research focuses on three transformative areas: quantum-inspired optimisation for robot control, hybrid AI for dynamic parameter identification, and the pioneering use of quantum teleportation protocols for remote robot operation. Numbi’s most cited work, “Quantum Particle Swarm Optimisation Proportional–Derivative Control for Trajectory Tracking of a Car-like Mobile Robot” (2025, 8 citations), demonstrates how quantum particle swarm optimisation (QPSO) significantly outperforms classical PSO in reducing and stabilising trajectory error for mobile robots. He further extended this paradigm in “A Quantum-Inspired Hybrid Artificial Neural Network for Identifying the Dynamic Parameters of Mobile Car-Like Robots” (2025, 5 citations), replacing time-consuming manual computation with a fast, accurate AI-driven method for predicting mass and inertia. Perhaps most strikingly, his work on “The Concept of Quantum Teleportation for Remote Control of a Car-like Mobile Robot” (2025, 3 citations) simulates a quantum teleportation protocol to exchange data between robot and control station, envisioning a future of instantaneous, secure remote control. Though early in his career, Numbi’s bold integration of quantum mechanics with mobile robotics marks him as a visionary researcher shaping the next generation of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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