Natalia Hartono
Papers
9
Total Citations
135
H-Index
6
About
Natalia Hartono is a leading researcher at the forefront of sustainable manufacturing and circular economy, specializing in the optimization of robotic disassembly systems. Her work addresses one of the most pressing challenges in green technology: the efficient, environmentally sound processing of end-of-life products, particularly lithium-ion batteries from electric vehicles. Hartono’s major contributions lie in developing advanced optimization algorithms—most notably, enhancements to the nature-inspired Bees Algorithm—to solve complex robotic disassembly sequence planning problems. She has pioneered multiobjective decision-making frameworks that balance economic viability with environmental sustainability, ensuring that automated disassembly processes minimize waste, energy consumption, and carbon emissions while maximizing material recovery. Her highly cited 2022 paper on optimizing robotic disassembly plans using the Bees Algorithm (35 citations) and her 2024 case study on disassembling plug-in hybrid electric vehicle batteries (29 citations) demonstrate the practical impact of her research. Hartono has also introduced a novel Fibonacci-inspired enhancement to the Bees Algorithm, further improving its efficiency in real-world applications. With over 135 total citations across her publications, she is recognized as a key innovator in sustainable robotics and remanufacturing, helping to pave the way for a truly circular economy.
Research Focus
Key Achievements
Top Papers
- 1Optimisation of robotic disassembly plans using the Bees Algorithm35 citations · 2022
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9