Domenico Gorni
Papers
1
Total Citations
4
H-Index
1
About
Domenico Gorni is a researcher focused on energy-efficient robotics and manufacturing optimization, with a particular emphasis on reducing energy consumption in industrial robotic processes. His major contribution lies in developing practical optimization techniques for time-constrained robotic tasks, most notably through his work on sequential quadratic programming to reshape timing laws and minimize energy usage without compromising cycle time. His key paper, "Energy Minimization in Time-Constrained Robotic Tasks via Sequential Quadratic Programming" (2018), has garnered 4 citations and addresses a critical challenge in modern manufacturing: balancing productivity with sustainability. Gorni’s approach is notable for its simplicity and applicability, offering a straightforward method for re-shaping robotic trajectories to achieve significant energy savings—a vital step toward greener automation. His work sits at the intersection of robotics, control systems, and industrial engineering, providing tools that help manufacturers reduce operational costs and environmental impact. For students and researchers interested in sustainable robotics, Gorni’s research demonstrates how mathematical optimization can directly improve real-world manufacturing efficiency, making his contributions both practically relevant and academically valuable.
Research Focus
Key Achievements
Top Papers
- 1