Suraj Kumar Mahato
Papers
2
Total Citations
5
H-Index
2
About
Suraj Kumar Mahato is a researcher at the forefront of telerobotics and edge computing, specializing in ensuring seamless, high-quality connectivity and real-time data processing for remote robotic operations. His major contributions lie in developing novel frameworks that bridge the gap between mobile robots and edge infrastructure. Notably, his 2023 paper, "An Edge-inclusive WebRTC-based Framework to Enable Embodied Visual Analytics in Telerobot," proposes a groundbreaking protocol that forks a telerobot’s live video feed to a Multi-access Edge Computing (MEC) node, enabling real-time analytics without interrupting the robot’s primary multimedia session. This work has already garnered 3 citations, signaling its growing influence. In his 2024 follow-up, "Sensing Best-Connected Future Path for Mobile Telerobot: A Radio-Source Location Agnostic Approach," Mahato tackles the critical challenge of last-mile connectivity. He introduces a method to predict optimal future paths for mobile telerobots, ensuring robust quality of service for both multimedia and kinematic commands, even without knowledge of radio-source locations. This work has earned 2 citations. Mahato’s research is vital for advancing remote surgery, industrial inspection, and disaster response, where reliable robot connectivity is paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2