Benjamin Holden
Papers
1
Total Citations
12
H-Index
1
About
Benjamin Holden is a robotics researcher specializing in multi-agent systems, collaborative localization, and autonomous navigation in GPS-denied environments. His work addresses critical challenges in deploying robots for search-and-rescue missions, where robust, decentralized coordination is essential. Holden’s most-cited paper, “Planning for a ground-air robotic system with collaborative localization” (2016, 12 citations), introduces a novel framework for heterogeneous ground and aerial robots to jointly estimate their positions and plan paths without relying on external positioning infrastructure. This contribution is foundational for enabling resilient operations in disaster zones, underground spaces, or dense urban areas. By leveraging inter-robot sensor fusion and shared planning, his research enhances the reliability and autonomy of robotic teams in high-stakes scenarios. Holden’s work has influenced subsequent studies in collaborative SLAM and multi-robot coordination, and he continues to advance the field through interdisciplinary approaches that bridge perception, planning, and control. His contributions are particularly valuable for students and researchers interested in field robotics, human-robot interaction, and the practical deployment of autonomous systems in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Planning for a ground-air robotic system with collaborative localization12 citations · 2016