Papers
12
Total Citations
244
H-Index
9
About
Md Moktadir Alam is a leading researcher in industrial robotics, specializing in energy-efficient motion planning, kinematic modeling, and calibration of six-axis articulated manipulators. His work directly addresses the precision and sustainability demands of Industry 5.0, with major contributions in optimizing robot configurations to reduce energy consumption—his 2022 paper on genetic algorithm and particle swarm optimization for dual-arm robots has garnered 84 citations. Alam has also advanced absolute positioning accuracy through novel kinematic models, including axis-to-axis crosstalk and bidirectional angular deviation compensation, with multiple papers exceeding 25 citations. His tutorial on kinematic parameter identification (21 citations) serves as a key resource for practitioners. Beyond terrestrial robotics, Alam has explored underwater locomotion, developing fuzzy logic and impedance control for hexapod robots on the seabed. His recent work integrates process mining and Petri nets for automated motion planning optimization, pushing toward fully autonomous robotic cells. With over 200 total citations and a portfolio spanning energy savings, precision calibration, and novel control strategies, Alam is shaping the next generation of intelligent, efficient industrial robots.
Research Focus
Key Achievements
Top Papers
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- 4Novel six-axis robot kinematic model with axis-to-axis crosstalk28 citations · 2021
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- 7PD-FLC with admittance control for hexapod robot's leg positioning on seabed11 citations · 2015
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