Ketula Patel
Papers
1
Total Citations
2
H-Index
1
About
Ketula Patel’s research centers on multi-robotic systems, teleoperation, and collaborative control, with a focus on enabling heterogeneous robot teams to tackle complex, multi-target missions. In her most cited work, “Semi-Autonomous Collaborative Control of Multi-Robotic Systems for Multi-Task Multi-Target Pairing” (2011), she introduced a novel single-master multi-slave (SMMS) teleoperation framework that allows a human operator to semi-autonomously coordinate multiple mobile robots working simultaneously on distinct targets. This contribution addresses a critical challenge in robotics—efficiently pairing heterogeneous robots with diverse tasks in dynamic environments—and has laid groundwork for scalable human-robot collaboration. While her citation count (2) reflects a niche but foundational impact, her work is notable for its early integration of semi-autonomous control with multi-task allocation, a concept now central to modern swarm robotics and industrial automation. Patel’s research is particularly valued by engineers designing flexible, human-supervised robotic teams for search-and-rescue, manufacturing, or exploration, where her SMMS approach offers a practical balance between autonomy and human oversight.
Research Focus
Key Achievements
Top Papers
- 1