Gustavo Osorio
Papers
2
Total Citations
11
H-Index
2
About
Gustavo Osorio is a researcher whose work lies at the intersection of robotics, optimal control, and multi-objective optimization. His primary research focus is on developing advanced computational methods for motion planning, with a particular emphasis on using cell mapping algorithms to solve complex trajectory planning problems for mobile robots. Osorio’s major contribution is the innovative application of cell mapping—a technique traditionally used in nonlinear dynamics—to formulate and solve combinatorial optimization problems in robotics. This approach allows for the inclusion of complex, multi-objective cost functions while reducing mathematical complexity through state-space and time discretization. His most-cited work (2023, 8 citations) presents a suboptimal solution for multi-objective combinatorial optimization in mobile robot trajectory planning, demonstrating how cell mapping can effectively handle challenging optimal control problems. An earlier foundational paper (2019, 3 citations) established the framework for multi-objective optimal path planning using state-space cell mapping, introducing practical constraints for real-world mobile robots. Osorio’s work is notable for bridging theoretical optimization methods with practical robotic applications, offering a promising pathway for robots to navigate complex environments while balancing multiple competing objectives.
Research Focus
Key Achievements
Top Papers
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