Manisha Yaddla
Papers
1
Total Citations
5
H-Index
1
About
Manisha Yaddla’s research lies at the intersection of swarm robotics, reconfigurable hardware, and real-time autonomous systems. Her most-cited work, “FPGA based robots hardware efficient scheme for Real time indoor environment with behavioural control” (2015, 5 citations), addresses a critical challenge in multi-robot navigation: enabling robust, uncertainty-tolerant traversal from start to goal in dynamic indoor spaces. By integrating Practical Swarm Optimization (PSO) algorithms with FPGA-based control, Yaddla demonstrated a hardware-efficient approach that balances computational speed with behavioral flexibility—a key contribution to embedded robotics. This work showcases her ability to bridge theoretical optimization and practical deployment, offering a scalable solution for real-time environments where traditional software-based controllers struggle. While her citation count reflects a focused, early-career impact, the novelty of combining swarm intelligence with reconfigurable logic positions her as a promising voice in hardware-aware robotics. Her research holds particular relevance for students and engineers exploring low-latency, resource-constrained autonomous systems, from warehouse logistics to search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
- 1