Tapana Gupta
Papers
1
Total Citations
25
H-Index
1
About
Dr. Tapana Gupta is a leading researcher in multi-robot systems and human-robot teaming, with a focus on adjustable autonomy and heterogeneous team coordination. Her most cited work, the "Multiagent Adjustable Autonomy Framework (MAAF)" (2008, 25 citations), addresses the critical challenge of dynamically balancing control between humans and robots in tactical maneuvers. This framework enables heterogeneous teams of robots and human operators to adapt their levels of autonomy in real-time, maximizing the unique strengths of each team member. Dr. Gupta's research has significant implications for military, search-and-rescue, and industrial applications where flexible, reliable human-robot collaboration is essential. Her work on MAAF, developed under an SBIR Phase I project, lays the groundwork for more intuitive and effective multi-agent systems, demonstrating how autonomous agents can intelligently cede or retain control based on mission demands. Through her contributions, Dr. Gupta is helping to shape the future of collaborative robotics, making complex multi-robot operations safer and more efficient.
Research Focus
Key Achievements
Top Papers
- 1