Jesus E. Aleman
Papers
2
Total Citations
5
H-Index
1
About
Jesus E. Aleman is a robotics researcher focused on autonomous navigation for mobile robots in complex, real-world environments. His work centers on developing robust perception and path-planning systems that allow robots to operate without pre-existing maps. In his most-cited paper, Aleman implemented the RRT* algorithm on a holonomic drive robot, using a depth camera to dynamically re-plan paths in partially known or unknown spaces. This work, with 4 citations, demonstrates a practical approach to overcoming one of robotics’ core challenges: safe, efficient navigation when the environment is uncertain. He further advanced this line of research by fusing data from an RGB-D camera and a 2D LiDAR to create accurate occupancy grids for map-based localization, enabling reliable autonomous movement in known indoor settings. By integrating sensor fusion with real-time path planning, Aleman’s contributions help bridge the gap between theoretical algorithms and deployable robotic systems, offering valuable insights for students and engineers working on autonomous ground vehicles and service robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2