Edwar Jacinto
Papers
9
Total Citations
48
H-Index
4
About
Edwar Jacinto is a Colombian researcher whose work sits at the intersection of autonomous robotics, swarm intelligence, and motion planning in unknown environments. His research consistently tackles one of robotics' most demanding challenges: enabling robots to navigate, explore, and make decisions in dynamic, unstructured spaces without prior environmental knowledge. Jacinto's most recognized contribution — his 2012 paper on Brownian motion as an exploration strategy for swarm robots — has accumulated 13 citations and introduced a biologically inspired approach to search-and-rescue robotics in disaster scenarios such as landslides. This work laid a conceptual foundation he continued building upon through subsequent research on stereoscopic obstacle detection using bacterial behavior models, LSTM-based pattern recognition for navigation, and Rapidly Exploring Random Trees (RRT) algorithms implemented on low-cost ESP32-controlled robots. A recurring theme across his portfolio is accessibility and practicality — designing intelligent robotic solutions that are computationally efficient and affordable. His work on underactuated robotic hand control and ART-2 neural networks for motion planning further demonstrates his interdisciplinary reach. Beyond robotics, Jacinto has also contributed to engineering education, exploring inductive and problem-based learning methodologies. With over 40 cumulative citations, his work offers meaningful contributions to the growing field of autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Brownian motion as exploration strategy for autonomous swarm robots13 citations · 2012
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- 8Hybrid fuzzy-sliding grasp control for underactuated robotic hand3 citations · 2019
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