Papers
9
Total Citations
110
H-Index
6
About
Karam Dad Kallu is a robotics and control systems researcher whose work centers on advanced control methodologies for robotic manipulators, hydraulic systems, and human-assistive technologies. He has made significant contributions to the development of sliding mode control (SMC) frameworks, particularly the sliding perturbation observer (SPO) — a technique that enables robust, sensorless estimation of reaction forces at robot end effectors, eliminating the need for costly and structurally cumbersome force sensors. His most cited work (44 citations) demonstrated this approach on a dual-arm robot manipulator, establishing a foundation for subsequent research in trajectory tracking and bilateral teleoperation. Kallu has applied these methods to high-stakes environments, including nuclear power plant dismantling, where remotely operated robotic systems must perform with precision under hazardous conditions. His 2019 series of papers collectively advanced terminal sliding mode control and robust controller design for hydraulic and multi-DOF manipulators. More recently, his research has expanded into assistive robotics, including position control systems for paraplegic patients. With nearly 110 total citations, Kallu's body of work bridges theoretical control design and real-world applications in safety-critical and rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
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- 5Robust Control Design of 6-DOF Robot for Nuclear Power Plant Dismantling10 citations · 2019
- 6Robust Position Control of Assistive Robot for Paraplegics6 citations · 2021
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- 9SMCSPO based reaction force estimation for 7 DOF robot arm2 citations · 2016