Shubhasri Kundu

About

Shubhasri Kundu is a prominent researcher specializing in mobile robotics, autonomous navigation, and intelligent optimization algorithms. With a body of work spanning over a decade, Kundu has made significant contributions to solving complex path planning and obstacle avoidance challenges for both terrestrial and underwater robotic systems. Kundu's most influential work, "A Robust Path Planning For Mobile Robot Using Smart Particle Swarm Optimization" (2018, 109 citations), introduced an Adaptive Particle Swarm Optimization algorithm that outperforms conventional PSO approaches in real-time problem-solving. This research exemplifies Kundu's broader expertise in applying bio-inspired and metaheuristic algorithms — including Harmony Search, Differential Evolution, and Deep Q-Learning — to navigate robots through complex, dynamic environments. A recurring theme in Kundu's research is the integration of intelligent computational techniques, such as fuzzy logic, neural networks, and reinforcement learning, into robust navigation frameworks. Notable contributions include pioneering immune-system-inspired path planning (2012) and ANFIS-based underwater robot navigation (2017), demonstrating versatility across multiple robotic domains. With a cumulative citation count exceeding 290, Kundu's work has meaningfully shaped how researchers approach autonomous robot navigation, making their publications essential reading for students and engineers working at the intersection of artificial intelligence and robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   A Robust Path Planning For Mobile Robot Using Smart Particle Swarm Optimization

   109 citations · 2018
2. 2
   Navigation of underwater robot based on dynamically adaptive harmony search algorithm

   50 citations · 2016
3. 3
   Innate Immune based Path Planner of an Autonomous Mobile Robot

   35 citations · 2012
4. 4
   Application of Deep Q-Learning for Wheel Mobile Robot Navigation

   22 citations · 2017
5. 5
   Reactive navigation of underwater mobile robot using ANFIS approach in a manifold manner

   21 citations · 2017
6. 6
   Path Planning Techniques for Mobile Robots: A Review

   15 citations · 2022
7. 7
   Fuzzy-Neuro based Navigational Strategy for Mobile Robot

   15 citations · 2012
8. 8
   Navigational control of underwater mobile robot using dynamic differential evolution approach

   14 citations · 2016
9. 9
   A New T-S Model Based Fuzzy Logic Approach For Mobile Robots Path Planning

   10 citations · 2020
10. 10
    Behavior-based navigation of multiple robotic agents using hybrid-fuzzy controller

    7 citations · 2010

Key Collaborators

Contact & Links