Janardhan Narambhatlu
Papers
1
Total Citations
5
H-Index
1
About
Janardhan Narambhatlu is a robotics researcher focused on advancing autonomous multi-robot coordination and intelligent parking systems for indoor environments. His work addresses the critical challenge of enabling grounded vehicle-based social assistance and service robots to operate efficiently in constrained, unknown spaces. His most cited paper, "Hardware-Efficient Scheme for Trailer Robot Parking by Truck Robot in an Indoor Environment with Rendezvous" (2023), introduces a novel method for multi-robot team parking that emphasizes hardware efficiency and rendezvous-based coordination. This contribution is particularly significant for urban applications where space and computational resources are limited. With 5 citations, his research is gaining traction among peers working on autonomous navigation and multi-agent systems. Narambhatlu’s work stands out for its practical approach to real-world deployment, bridging the gap between theoretical multi-robot algorithms and hardware-constrained implementations. His achievements highlight a commitment to developing scalable, efficient solutions for the next generation of service robots, making his research valuable for students and engineers exploring autonomous systems in indoor logistics and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1