M. Shivakumar
Papers
2
Total Citations
6
H-Index
2
About
M. Shivakumar is an emerging researcher specializing in autonomous robotics, multi-robot systems, and environmental sensing technologies. His work focuses on the critical challenges of enabling multiple robots to navigate complex indoor environments efficiently and safely — a problem of growing importance as robotics finds increasing applications in warehousing, healthcare, and smart infrastructure. Shivakumar's most notable contribution, "Sensor Fusion Based Multiple Robot Navigation in an Indoor Environment" (2024), has already garnered 4 citations since its publication, demonstrating rapid early interest from the robotics community. This work addresses the sophisticated integration of multiple sensor modalities to enhance navigational reliability and coordination among robot teams. Complementing this, his 2023 paper on occupancy grid mapping using LiDAR for multi-robot systems contributes foundational methodology for how robots collectively perceive and represent shared physical spaces, accumulating 2 citations. Though early in his research career, Shivakumar's concentrated focus on sensor fusion and collaborative robotics positions him at the forefront of a rapidly evolving field. Students and researchers working on autonomous navigation, SLAM, or cooperative robotic systems would find his publications particularly relevant as foundational reading in multi-robot coordination frameworks.
Research Focus
Key Achievements
Top Papers
- 1Sensor fusion based multiple robot navigation in an indoor environment4 citations · 2024
- 2Occupancy Grid Map for a Multi-Robot System Using LiDAR2 citations · 2023