Morteza Daneshmand
Kyoto University, University of Tartu, Norwegian Institute of Bioeconomy Research
Papers
8
Total Citations
166
H-Index
5
About
Morteza Daneshmand is a leading researcher at the intersection of robotics, Industry 4.0, and human-robot interaction, whose work spans sustainable manufacturing, medical robotics, and intelligent automation. His most influential contribution, the survey on robotic assembly and disassembly for circular economy (77 citations), establishes foundational frameworks for integrating Industry 4.0 technologies with sustainable production practices. Daneshmand has made significant advances in medical robotics, particularly in remote sensing applications (40 citations), and has contributed comprehensive reviews of motion planning algorithms (18 citations) that bridge conventional, heuristic, and learning-based approaches. His innovative work on digi-tailor mannequin robots—encompassing real-time shape-changing adjustment and gender classification—demonstrates practical applications of supervised learning in retail automation. Daneshmand’s research on telepresence robots with intention recognition addresses critical challenges in remote work and service robotics, while his kinematic sensitivity analysis of parallel mechanisms contributes to precision engineering. With a portfolio spanning from theoretical motion planning to applied robotic systems, Daneshmand’s work continues to shape both academic understanding and industrial practice in intelligent robotics and sustainable automation.
Research Focus
Key Achievements
Top Papers
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- 5Size-Dictionary Interpolation for Robot’s Adjustment7 citations · 2015
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- 7Effortless Polite Telepresence using Intention Recognition5 citations · 2023
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