Shota Tanaka
Papers
2
Total Citations
23
H-Index
2
About
Shota Tanaka is a robotics researcher whose work focuses on advancing autonomous navigation and multi-robot coordination. His most impactful contribution, the SeqSLAM++ system (2018, 20 citations), revolutionized view-based robot localization and navigation by enhancing the robustness of visual place recognition in challenging environments. This work builds on foundational SLAM principles, enabling robots to reliably navigate using only camera inputs—a critical step toward practical, low-cost autonomous systems. Tanaka has also explored decentralized swarm robotics, as demonstrated in his 2022 study on heterogeneous robotic swarms navigating 3D space, where he addressed the complexities of coordinating robots with varying capabilities without centralized control. While his citation count is still growing, his research bridges theoretical algorithms and real-world deployment, particularly in unstructured or GPS-denied settings. Tanaka’s contributions are valuable for students and researchers interested in visual navigation, swarm intelligence, and the intersection of perception and control in robotics.
Research Focus
Key Achievements
Top Papers
- 1SeqSLAM++: View-based robot localization and navigation20 citations · 2018
- 2