Abdonoor Kalibala
Papers
2
Total Citations
8
H-Index
2
About
Dr. Abdonoor Kalibala is a pioneering roboticist whose research sits at the intersection of soft robotics, bio-inspired design, and advanced control theory. His primary focus is on the development and control of "vine robots"—a novel class of soft, growing robots inspired by the natural growth processes of plants. Dr. Kalibala’s major contribution lies in creating sophisticated control frameworks that enable these highly compliant robots to perform precise tasks in challenging environments. His 2024 paper, "Dynamic modelling and predictive position/force control of a plant-inspired growing robot," established a foundational dynamic model using the Euler-Lagrangian method, earning 5 citations. Building on this, his 2025 work, "Real-time force/position control of soft growing robots: A data-driven model predictive approach," introduces a cutting-edge data-driven strategy for real-time control, already garnering 3 citations. By solving the complex problem of simultaneously controlling a robot’s position and the force it applies as it grows, Dr. Kalibala is unlocking the potential of these robots for critical applications in search-and-rescue, medical exploration, and navigating cluttered, confined spaces. His work is defining the future of adaptive, plant-like machines.
Research Focus
Key Achievements
Top Papers
- 1
- 2