Archana Kashikar
Papers
1
Total Citations
10
H-Index
1
About
Archana Kashikar is a robotics researcher whose work centers on multirobot systems, adaptive navigation, and low-cost experimental platforms. Her most cited contribution, "A low-cost indoor testbed for multirobot adaptive navigation research" (2018, 10 citations), addresses a critical gap in the field: the need for accessible, scalable environments to study how robots can navigate adaptively—using real-time environmental data rather than following pre-set paths. This work has provided a foundational tool for researchers exploring autonomous coordination in constrained settings, enabling more practical experimentation in swarm robotics and sensor-driven movement. Kashikar’s focus on affordability and adaptability has made her testbed a valuable resource for labs with limited budgets, fostering broader participation in adaptive navigation research. Her contributions highlight the importance of bridging theoretical algorithms with tangible, reproducible experiments, and her work continues to influence studies on how multiple robots can collaboratively respond to dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1A low-cost indoor testbed for multirobot adaptive navigation research10 citations · 2018