Sameera Ponda

Papers

Total Citations

103

H-Index

About

Dr. Sameera Ponda is a leading researcher in multi-agent systems, with a focus on cooperative mission planning for heterogeneous teams of autonomous vehicles and human operators. Her work addresses critical challenges in distributed decision-making, task allocation, and information-rich planning for complex, real-world missions. Dr. Ponda’s most influential contribution, "Cooperative Mission Planning for Multi-UAV Teams" (2014), has garnered 68 citations and provides foundational algorithms for coordinating multiple unmanned aerial vehicles. She further advanced the field with "Predictive Planning for Heterogeneous Human-Robot Teams" (2010, 25 citations), which introduced a distributed, systems-level predictive approach to simultaneously schedule human operators and robotic agents, significantly improving mission efficiency and reducing costs. Her research on "Decentralized Information-Rich Planning and Hybrid Sensor Fusion for Uncertainty Reduction in Human-Robot Missions" (2011, 10 citations) presents a scalable framework for maximizing information collection in multi-target search and tracking scenarios. Through these contributions, Dr. Ponda has established herself as a key figure in enabling robust, efficient, and scalable coordination for autonomous systems operating in dynamic and uncertain environments.