Max Robotics — Global Service Robot Directory + US Certification

About

Subrat Kumar Swain is a researcher at the forefront of autonomous systems, specializing in real-time perception, sensor fusion, and intelligent navigation for ground vehicles and mobile robots. His work bridges computer vision and control theory, with a focus on enabling reliable autonomy in cluttered, dynamic environments. Swain’s most cited paper, “Real-Time Tracking and Lane Line Detection Technique for an Autonomous Ground Vehicle System” (2019, 6 citations), established foundational methods for integrating visual lane detection with vehicle tracking, a critical capability for self-driving platforms. In related work, he developed a Kalman filter-based framework for real-time detection and tracking of moving vehicles from static cameras, demonstrating robust performance in sequential image analysis. More recently, his 2025 paper introduces an adaptive stochastic gradient descent method combined with least angle regression to enhance path planning for autonomous mobile robots, addressing the challenge of smooth obstacle avoidance in manufacturing and transportation settings. Though early in his career, Swain’s contributions are gaining traction, with his research cited in works advancing autonomous navigation. His trajectory reflects a commitment to practical, real-time solutions that push the boundaries of how robots perceive and move through complex spaces.