Rihab Abdul Razak
Indian Institute of Technology Bombay, IITB-Monash Research Academy
Papers
3
Total Citations
32
H-Index
3
About
Rihab Abdul Razak is a leading researcher in multi-agent robotic systems, with a focused expertise in decentralized coverage control and adaptive sensing. Her work addresses the fundamental challenge of coordinating multiple nonholonomic mobile robots—vehicles with constrained motion, like cars or drones—to optimally monitor and sense a given area. Razak’s major contributions lie in developing novel control algorithms that allow these robots to autonomously adapt their positions based on a dynamic "density function," which represents the probability of events requiring sensing. Her most cited paper, "Decentralized and adaptive control of multiple nonholonomic robots for sensing coverage" (2018, 18 citations), introduces a decentralized framework that eliminates the need for a central coordinator, enabling scalable and robust operations. She further advanced this field with her 2016 work on decentralized adaptive coverage for double integrator dynamics, extending the theory to more realistic robot models. By generalizing the coverage problem using distance functions in her 2018 paper, Razak has provided a unifying framework that connects and extends prior locational optimization approaches. Her research is pivotal for applications in environmental monitoring, search-and-rescue, and surveillance, demonstrating a clear impact on the future of autonomous robotic swarms.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3