Vibhakar Pathak

About

Vibhakar Pathak is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and cloud-integrated robotic systems. His most impactful contribution is a low-cost multisensory robot designed for optimized path planning across diverse environments, a study that has garnered 7 citations since 2023. Pathak has also advanced the field through a novel GP-GPU-accelerated approach to robot localization within known maps, achieving 5 citations, and has explored the intersection of cloud computing and robotics in a widely-read review. His chapter on applying machine learning to SLAM algorithms further underscores his expertise in enhancing robotic perception and mapping. Pathak’s research extends to vehicular networks, where he proposed a static QR code system for bituminous roads, and to stability analysis of robots on loose concrete surfaces using EKF SLAM. Collectively, his work addresses critical challenges in cost-effective, real-time robotic navigation and localization, with applications spanning industrial automation, autonomous vehicles, and infrastructure monitoring.

Research Focus

Key Achievements

Top Papers

1. 1
   Low-Cost Multisensory Robot for Optimized Path Planning in Diverse Environments

   7 citations · 2023
2. 2
   A Novel Approach to Localized a Robot in a Given Map with Optimization Using GP-GPU

   5 citations · 2020
3. 3
   A Review of Robotics Through Cloud Computing

   3 citations · 2018
4. 4
   Chapter 9 Application of machine learning in SLAM algorithms

   3 citations · 2021
5. 5
   A novel method for vehicular network system using static QR code for bituminous roads

   2 citations · 2024
6. 6
   Exploration of Designed Robot in Non Linear Movement Using EKF SLAM and Its Stability on Loose Concrete Surface

   2 citations · 2019

Key Collaborators

Contact & Links