Farzaneh Goli
Papers
5
Total Citations
48
H-Index
4
About
Farzaneh Goli is at the forefront of advancing robotic disassembly for a circular economy, with a primary focus on the sustainable remanufacturing of electric vehicle (EV) batteries. Her research addresses a critical bottleneck in automation: the uncertainty and complexity inherent in disassembly tasks. Goli’s work systematically characterizes the mechanics of challenging operations, such as dual and rectangular peg-hole disassembly, identifying over 26 distinct contact states to inform robotic control. She has pioneered the use of reinforcement learning for disassembly skill acquisition, notably injecting external knowledge to dramatically improve learning efficiency in real-world scenarios. Her highly cited 2024 review, “Robotic disassembly of EV batteries,” (24 citations) surveys the pressing need for smart automation and catalogs a wide array of applicable robotic technologies. Goli’s contributions are pivotal in making remanufacturing economically viable, reducing labor costs, and enabling the safe, efficient recycling of critical battery materials. Her work on jamming problems and active compliance centers provides foundational insights for designing robots that can handle the variability of used products, directly supporting the transition to a sustainable, circular economy.
Research Focus
Key Achievements
Top Papers
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- 2Perspective of self-learning robotics for disassembly automation11 citations · 2022
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