Akshay Hinduja
Papers
5
Total Citations
79
H-Index
4
About
Akshay Hinduja is a leading researcher in autonomous robotics, with a primary focus on state estimation, perception, and navigation in challenging, sensor-degraded environments. His work is particularly influential in the domains of underwater and adverse-weather robotics. Hinduja’s major contributions include pioneering "Degeneracy-Aware Factors" for underwater SLAM (44 citations), a novel approach that significantly improves the robustness of pose-graph optimization when using range sensors. He has also advanced the field with "Multi-Radar Inertial Odometry" (14 citations), demonstrating that mmWave imaging radar can provide reliable 3D state estimation where cameras and LiDAR fail. To address the pervasive noise in sonar data, Hinduja developed a conditional GAN-based filtering technique (10 citations) for underwater occupancy mapping. Beyond perception, his work on designing a fully autonomous welding solution for double-hull ship blocks (7 citations) showcases his ability to solve complex, real-world industrial challenges. Through these innovations, Hinduja is enabling robots to operate reliably in the most difficult environments, from murky waters to heavy fog, fundamentally expanding the frontier of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Degeneracy-Aware Factors with Applications to Underwater SLAM44 citations · 2019
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