Alba Fenucci
Papers
2
Total Citations
21
H-Index
2
About
Alba Fenucci is a researcher whose work lies at the intersection of industrial robotics, energy efficiency, and real-time safety systems. Her primary research areas focus on developing intelligent motion planning strategies that enhance both the autonomy and sustainability of robotic manipulators. Fenucci’s major contributions include pioneering an off-line motion planning approach that significantly reduces energy consumption for industrial robots, a method that accommodates “fly” points—targets that need not be precisely reached—to optimize trajectories without sacrificing performance. This work, published in 2016, has garnered 13 citations, reflecting its relevance to the growing demand for greener manufacturing. Additionally, she has advanced real-time collision avoidance for industrial manipulators, proposing a distributed framework that enables robots to safely interact with their environment without halting operations. Her 2014 paper on this topic, with 8 citations, addresses a critical challenge in human-robot collaboration. Fenucci’s research is notable for bridging theoretical optimization with practical, deployable solutions, making her a key voice in the push toward more efficient, safer, and autonomous industrial systems.
Research Focus
Key Achievements
Top Papers
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