Papers
2
Total Citations
8
H-Index
2
About
Ankita Saxena is a researcher in robotics and multi-agent systems, with a focus on bio-inspired swarm intelligence and autonomous navigation. Her work explores how groups of robots can collaborate to solve complex tasks, such as optimal path formation and goal hunting, drawing inspiration from biological swarms like ants or bees. In her most cited paper (2014, 6 citations), she introduced a Master-Slave concept where a master robot guides slave robots to select the most efficient path to a target, using wireless communication to enhance coordination. This approach has implications for search-and-rescue, environmental monitoring, and industrial automation. Earlier, in 2012, she addressed industrial efficiency by proposing a grid solver robot system for object picking via shortest-path algorithms, aiming to reduce human fatigue and operational costs in repetitive tasks. While her citation counts are modest, her work contributes to foundational challenges in swarm robotics and human-robot collaboration. Saxena’s research bridges theoretical algorithms and practical applications, offering insights for students and engineers interested in decentralized control, path planning, and cost-effective automation. Her focus on biologically inspired systems and real-world problem-solving makes her a notable voice in the emerging field of collaborative robotics.
Research Focus
Key Achievements
Top Papers
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