David Arnold
Papers
1
Total Citations
5
H-Index
1
About
David Arnold is an emerging researcher in robotics and embedded systems, with a primary focus on simultaneous localization and mapping (SLAM) for indoor navigation. His most cited work, "Embedded Mobile ROS Platform for SLAM Application with RGB-D Cameras" (2020), addresses the critical challenge of indoor robot localization without GPS by integrating computer vision, machine learning, and low-power embedded platforms. This contribution advances practical, vision-based navigation for autonomous systems in GPS-denied environments. With 5 citations to date, his work is gaining recognition among peers working on mobile robotics and sensor fusion. Arnold’s research bridges the gap between theoretical SLAM algorithms and real-world deployment on resource-constrained hardware, making it relevant for students and engineers developing cost-effective robotic solutions. His achievements include demonstrating how RGB-D cameras and the Robot Operating System (ROS) can be combined to create a portable, embedded SLAM system—a step toward more accessible and efficient indoor robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1Embedded Mobile ROS Platform for SLAM Application with RGB-D Cameras5 citations · 2020