Stalin Muela
Papers
1
Total Citations
6
H-Index
1
About
Stalin Muela is a robotics researcher whose work focuses on the control and coordination of aerial manipulator robots—drones equipped with robotic arms—operating in complex, obstacle-filled environments. His most cited paper, "Consensus Algorithms for Bidirectional Teleoperation of Aerial Manipulator Robots in an Environment with Obstacles" (2019, 6 citations), introduces a novel consensus algorithm that enables a formation of aerial manipulators to navigate congested spaces. The approach uses virtual leaders and follower robots, with their distribution governed by a Laplacian matrix, allowing for stable, bidirectional teleoperation and collision avoidance. This contribution is significant for advancing the practical deployment of aerial robots in tasks like inspection, maintenance, and search-and-rescue, where precise coordination and human-in-the-loop control are critical. Muela’s work bridges theoretical control theory with real-world robotic applications, offering a scalable framework for multi-robot systems. While his citation count is modest, his research addresses a key challenge in aerial robotics—safe and efficient operation in cluttered environments—making it a valuable reference for researchers developing autonomous or teleoperated drone teams.
Research Focus
Key Achievements
Top Papers
- 1