Arunkumar Giriyapur

About

Arunkumar Giriyapur is an engineering researcher and educator whose work sits at the dynamic intersection of robotics, autonomous systems, and engineering pedagogy. His research primarily focuses on industrial robot modeling, autonomous mobile robotics, and humanoid robot development, with contributions spanning both theoretical analysis and practical implementation. Among his most recognized works, his studies on modeling and simulating industrial robots using SolidWorks and RoboAnalyzer — together accumulating 14 citations — have provided accessible frameworks for understanding complex robotic kinematics. His development of Ajit 2.0, an AI-powered social humanoid robot, demonstrates his commitment to pushing the boundaries of autonomous, human-interactive systems. Giriyapur has also explored critical Industry 4.0 challenges, including power-efficient sensing strategies and navigational path planning for autonomous mobile robots. Equally notable is his dedication to nurturing the next generation of engineers; his work on fostering undergraduate research skills and project-based learning using open-source technologies reflects a holistic vision of engineering education. With over 30 cumulative citations across his portfolio, Giriyapur's interdisciplinary contributions make him a meaningful voice in both applied robotics research and innovative engineering education.

Research Focus

Key Achievements

Top Papers

1. 1
   Modelling and Simulation of Industrial Robot Using SolidWorks

   8 citations · 2021
2. 2
   Kinematic Analysis and Simulation of Industrial Robot Based on RoboAnalyzer

   6 citations · 2021
3. 3
   Experiments in Fostering Research skills for Undergraduates in an Inter-disciplinary Engineering Program

   5 citations · 2020
4. 4
   Artificial Intelligence Based Intelligent Social Humanoid Robot – Ajit 2.0

   4 citations · 2019
5. 5
   Multi-Label Classification of Cotton Plant with Agriculture Mobile Robot

   4 citations · 2022
6. 6
   Power-efficient Strategies for Sensing in Autonomous Mobile Robots, a critical requirement of I4.0 standard

   3 citations · 2021
7. 7
   Implementation of a Navigational Path Planning Algorithm for an Autonomous Mobile Robot

   3 citations · 2021
8. 8
   Investigate Feasibility of Model-Based Design Approach to Develop a Biped Walking Robot

   2 citations · 2019
9. 9
   Implementation of Sensor Fusion for a Mobile Robot Application

   2 citations · 2021
10. 10
    Project Based Learning in Laboratories Using Open Source Technologies: Case Study of a Frugal Approach

    2 citations · 2014

Key Collaborators

Contact & Links