Ankit A. Ravankar
Hokkaido University, Tohoku University, Kitami Institute of Technology
Papers
75
Total Citations
1,337
H-Index
18
About
Ankit A. Ravankar is a robotics researcher whose work centers on mobile robot navigation, path planning, simultaneous localization and mapping (SLAM), and multi-robot systems. His most influential contribution, a comprehensive survey on path smoothing techniques in robot navigation (2018), has garnered nearly 300 citations, establishing him as a leading voice in addressing one of autonomous robotics' most practical challenges — enabling robots to navigate fluidly without the inefficiencies of sharp, angular turns. His development of algorithms such as the Hybrid Potential-based Probabilistic Roadmap (HPPRM) and Smooth Hypocycloidal Paths (SHP) demonstrates a consistent drive to make robot motion more efficient and collision-safe in complex, dynamic environments. Ravankar has also made notable contributions to indoor localization using LiDAR-based feature fusion and Hough transform-based line detection, advancing low-cost, computationally efficient mapping solutions. His research extends into heterogeneous multi-robot systems, including UAV-ground robot collaboration and symbiotic knowledge sharing, as well as real-world applications such as vineyard navigation and AI-assisted elder care. With over 800 cumulative citations, his work meaningfully bridges theoretical robotics and practical deployment across service, agricultural, and healthcare domains.
Research Focus
Key Achievements
Top Papers
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- 3A Single LiDAR-Based Feature Fusion Indoor Localization Algorithm83 citations · 2018
- 4Autonomous VTOL-UAV Docking System for Heterogeneous Multirobot Team55 citations · 2020
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- 10CARE: Cooperation of ai Robot Enablers to Create a Vibrant Society30 citations · 2022