Papers
8
Total Citations
92
H-Index
6
About
G. Diaz-Arango is a robotics researcher whose work centers on autonomous navigation, path planning algorithms, and mobile robot architecture. Best known for pioneering the application of homotopy-based methods to robotic path planning, Diaz-Arango has developed a suite of algorithms that enable robots to navigate complex, obstacle-laden environments with efficiency and reliability. His most influential contribution, "Homotopy Path Planning for Terrestrial Robots Using Spherical Algorithm" (2017), has garnered 42 citations and established homotopy theory as a powerful framework for collision-free navigation in hazardous environments. Subsequent work extended these foundations to multiple-target scenarios relevant to industrial inspection robots, planar robotic arms, and high-degree-of-freedom manipulators, reflecting a consistent drive to broaden the real-world applicability of his methods. Notably, his 2020 FPGA implementation work demonstrates a commitment to hardware-level deployment, bridging theoretical algorithm design with practical embedded systems. Across more than 90 cumulative citations, Diaz-Arango's research has meaningfully advanced the field of autonomous robotics, offering students and engineers alike robust, mathematically grounded tools for tackling one of mobile robotics' most fundamental challenges.
Research Focus
Key Achievements
Top Papers
- 1Homotopy Path Planning for Terrestrial Robots Using Spherical Algorithm42 citations · 2017
- 2
- 3Path optimization for terrestrial robots using Homotopy Path Planning Method11 citations · 2015
- 4A Novel Collision-Free Homotopy Path Planning for Planar Robotic Arms7 citations · 2022
- 5Fast and robust homotopy path planning method for mobile robotics6 citations · 2016
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- 8