Papers
14
Total Citations
195
H-Index
9
About
Arshad Javed is a robotics and mechanical engineering researcher whose work spans autonomous service robotics, structural optimization of industrial manipulators, and energy-efficient robotic systems. His 2018 paper on a ROS-based service robot platform, which has garnered 59 citations, established his credentials in autonomous navigation, mapping, and localization — foundational capabilities for practical deployment of affordable service robots. Javed has made particularly significant contributions to topology optimization of industrial manipulator links, exploring how dynamic loading conditions can inform lightweight, structurally efficient robot arm designs across multiple influential studies, with his 2020 work on rigid-link topology optimization accumulating 35 citations. His research consistently addresses the growing industrial demand for robots that are not only accurate and repeatable but also energy-conscious, as reflected in his comprehensive reviews of energy efficiency optimization strategies for serial manipulators. Beyond industrial robotics, Javed has demonstrated breadth through work on telepresence robots, bioinspired pole-climbing mechanisms, and 3D-printed soft robotic fingers employing fin-ray structures. With over 185 cumulative citations, his portfolio reflects a sustained commitment to making robotic systems smarter, lighter, and more resource-efficient — themes of increasing relevance as global automation continues to expand.
Research Focus
Key Achievements
Top Papers
- 1ROS based service robot platform59 citations · 2018
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- 6Ego-Centric framework for a three-wheel omni-drive Telepresence robot11 citations · 2019
- 7Developing a bioinspired pole climbing robot11 citations · 2016
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- 9Multi-body dynamic optimization for upper arm of industrial manipulator9 citations · 2020
- 10A Review on Optimization Methods to Enhance Energy Efficiency of Robots7 citations · 2019