Ashkan Amirnia
Papers
2
Total Citations
32
H-Index
2
About
Ashkan Amirnia is a leading voice in the future of smart manufacturing, specializing in human-robot collaboration (HRC) and sustainable disassembly planning. His research sits at the intersection of artificial intelligence and industrial engineering, where he develops data-driven frameworks to optimize the complex, often uncertain, process of dismantling end-of-life (EoL) products. Amirnia’s most impactful work introduces a groundbreaking real-time multi-agent deep reinforcement learning model for HRC disassembly. This context-aware system intelligently sequences tasks between humans and cobots, dramatically minimizing both operation time and disassembly costs—a critical step toward a circular economy. His follow-up study advances this concept by integrating fuzzy reinforcement learning to handle real-world uncertainty, achieving 23 and 9 citations respectively in just a few years. By tackling the "last mile" of product lifecycle management, Amirnia is not just improving recycling efficiency; he is fundamentally redefining how we recover valuable materials. His work promises a future where robots and humans work seamlessly together to dismantle our most complex products, making sustainable manufacturing both economically viable and practically achievable.
Research Focus
Key Achievements
Top Papers
- 1
- 2