Manash Das
Papers
1
Total Citations
6
H-Index
1
About
Manash Das is a robotics researcher specializing in autonomous navigation and computer vision for micro aerial vehicles (MAVs), with a particular focus on enabling robust operation in challenging, low-light environments. His most-cited work, "Robust Vision-Based Autonomous Navigation, Mapping and Landing for MAVs at Night" (2020, 6 citations), addresses a critical gap in drone autonomy: reliable performance when visual sensors are compromised by darkness. Das’s contributions include developing algorithms that fuse visual-inertial odometry with adaptive mapping techniques to maintain precise localization and safe landing capabilities without reliance on GPS or external lighting. This work has implications for search-and-rescue, infrastructure inspection, and surveillance missions conducted at night. By tackling the intersection of perception, control, and environmental robustness, Das has advanced the practical deployment of autonomous drones in real-world, low-visibility scenarios. His research demonstrates a keen ability to solve fundamental problems in field robotics, earning recognition among peers for its direct applicability and technical rigor.
Research Focus
Key Achievements
Top Papers
- 1