Ritik Mahajan

Indian Institute of Information Technology Allahabad

Papers

Total Citations

H-Index

About

Ritik Mahajan is a researcher in robotics and autonomous navigation, with a primary focus on advancing Visual Simultaneous Localization and Mapping (SLAM) systems. His key contributions lie in addressing the persistent challenge of drift accumulation in budget-grade camera-based SLAM, particularly in environments where traditional loop closure techniques are ineffective due to the rarity of complete navigation loops. In his notable work, "SLAM and Map Learning using Hybrid Semantic Graph Optimization" (2022), Mahajan introduces a hybrid approach that integrates semantic understanding with graph optimization to mitigate drift without relying solely on loop closures. This method enhances mapping accuracy and robustness in real-world, continuous navigation scenarios, offering a practical solution for low-cost robotic platforms. While his work has garnered early citations, it represents a promising step toward more reliable and scalable SLAM systems. Mahajan’s research is particularly relevant for applications in service robotics, autonomous exploration, and long-term mapping, where consistent performance under budget constraints is critical. His innovative use of semantic cues to improve SLAM underscores his potential to shape future developments in intelligent navigation.