Alok Jha

About

Alok Jha is a robotics and intelligent systems researcher whose work spans robot manipulator optimization, mobile robot navigation, and autonomous path planning. His research sits at the intersection of classical robotics and soft computing, applying evolutionary algorithms, fuzzy logic, and neural network techniques to solve complex real-world engineering challenges. Jha's most influential contribution, "Task-based design optimization of serial robot manipulators" (2012, 31 citations), introduced a non-gradient direct search method for simultaneously optimizing task time and structural parameters of serial manipulators — a significant advance in design automation for robotic systems. Complementing this, his work on genetic algorithms and artificial neural networks for task time optimization further demonstrated his commitment to intelligent design methodologies. A substantial portion of his research addresses mobile robot navigation. His 2013 paper on ANFIS-based path planning (19 citations) established adaptive neuro-fuzzy inference systems as a viable framework for autonomous navigation, work he extended through rule-based fuzzy decision systems and multi-robot coordination using hybrid AI techniques including Bacterial Foraging Optimization and Radial Basis Function networks. With over 90 cumulative citations, Jha has made meaningful contributions to robotic cell layout optimization and dynamic manipulability analysis, offering both theoretical frameworks and practical industrial applications that continue to inform researchers working in intelligent robotics and automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Task-based design optimization of serial robot manipulators

   31 citations · 2012
2. 2
   Path planning of an autonomous mobile robot using adaptive network based fuzzy controller

   19 citations · 2013
3. 3
   The Optimized Path For A Mobile Robot Using Fuzzy Decision Function

   8 citations · 2019
4. 4
   Layout optimization of a robotic cell for foundry application by CAD based point cloud modeling – a case study

   7 citations · 2017
5. 5
   Fuzzy logic control of a WMR

   6 citations · 2012
6. 6
   Rule-Based Fuzzy Decision Path Planning Approach for Mobile Robot

   5 citations · 2018
7. 7
   Intelligent Control and Path Planning of Multiple Mobile Robots Using Hybrid Ai Techniques

   5 citations · 2016
8. 8
   Dynamic Manipulability of 3-RRR Planar Manipulator

   4 citations · 2012
9. 9
   Task Time Optimization of a Robot Manipulator using Artificial Neural Network and Genetic Algorithm

   4 citations · 2012
10. 10
    Investigations into the Parameters Influencing the Dynamic Performance of 3-RRR Planar & Articulated Robot Manipulators

    4 citations · 2011

Key Collaborators

Contact & Links