Papers
3
Total Citations
33
H-Index
3
About
M. Nissov is a robotics researcher whose work focuses on enabling robust autonomy in challenging, real-world environments, with key contributions in state estimation, sensor fusion, and novel aerial robot design. His most impactful work, "Degradation Resilient LiDAR-Radar-Inertial Odometry" (2024, 23 citations), addresses a critical single point of failure in autonomous systems by fusing LiDAR, radar, and inertial data to maintain reliable odometry even when individual sensors are compromised by dust, fog, or low light. He further advanced this theme in "Robust High-Speed State Estimation for Off-Road Navigation Using Radar Velocity Factors" (2024, 5 citations), specifically targeting high-speed, off-road scenarios where environmental degradation is common. Beyond estimation, Nissov introduced "Morphy: A Compliant and Morphologically Aware Flying Robot" (2024, 5 citations), a novel 260g aerial platform with sensorized flexible joints. This design enhances resilience and interaction capabilities, representing a significant step toward morphologically aware robots. With a clear focus on moving beyond idealized lab conditions, Nissov’s work is foundational for deploying autonomous robots in mission-critical applications like search and rescue, exploration, and logistics.
Research Focus
Key Achievements
Top Papers
- 1Degradation Resilient LiDAR-Radar-Inertial Odometry23 citations · 2024
- 2Morphy: A Compliant and Morphologically Aware Flying Robot5 citations · 2024
- 3