Papers

2

Total Citations

49

H-Index

2

About

Mario A. Sandoval-Hernandez is a leading researcher in autonomous robotics, specializing in advanced path planning algorithms for both terrestrial mobile robots and multi-degree-of-freedom robotic arms. His work centers on the innovative application of homotopy methods to solve complex navigation challenges, enabling robots to operate safely and efficiently in hazardous or unstructured environments. His seminal 2017 paper, "Homotopy Path Planning for Terrestrial Robots Using Spherical Algorithm," has garnered 42 citations, establishing a foundational approach for collision-free navigation in hostile settings. Building on this, his 2024 study on "Collision-Free Path Planning Applied to Multi-Degree-of-Freedom Robotic Arms Using Homotopy Methods" extends these principles to collaborative human-robot tasks, addressing critical safety and efficiency issues in industrial and domestic applications. Sandoval-Hernandez’s contributions are pivotal for advancing autonomous systems, from search-and-rescue missions to precision manufacturing, demonstrating how mathematical homotopy theory can be practically harnessed for real-world robotic autonomy. His work continues to influence the next generation of intelligent, adaptive robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
49
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Homotopy Path Planning for Terrestrial Robots Using Spherical Algorithm
42 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Instituto Tecnologico de Veracruz, Instituto Tecnológico Superior de Xalapa

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago