Vibhav Anand
Papers
1
Total Citations
5
H-Index
1
About
Dr. Vibhav Anand is a researcher at the intersection of robotics and cloud computing, with a primary focus on solving the Simultaneous Localization and Mapping (SLAM) problem. His most cited work, a 2017 review on cloud robotics frameworks for SLAM, has garnered 5 citations and provides a foundational overview of how cloud computing can offload computationally intensive tasks from robots. This contribution highlights his key insight: leveraging cloud infrastructure to enhance robotic autonomy and efficiency, particularly in mapping unknown environments. Dr. Anand’s work is notable for bridging theoretical robotics with practical cloud-based solutions, offering a roadmap for scalable, real-time SLAM applications. His research underscores the growing importance of distributed computing in robotics, making him a valuable voice for students and researchers exploring the synergy between cloud technology and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1