S.W. de Bone
Papers
1
Total Citations
10
H-Index
1
About
S.W. de Bone is a leading researcher in autonomous robotics, with a primary focus on decentralised multi-robot systems and intelligent exploration strategies. Their most-cited work, "Decentralised Multi-Robot Exploration Using Monte Carlo Tree Search" (2023, 10 citations), introduces a novel coordination framework that leverages Monte Carlo Tree Search to enable teams of robots to efficiently explore unknown environments without centralised control. This contribution addresses a critical bottleneck in autonomous surveying and inspection tasks—reducing mission time through scalable, real-time decision-making. De Bone’s research bridges the gap between theoretical planning algorithms and practical deployment, offering a robust solution for scenarios where speed and adaptability are paramount. By demonstrating how decentralised agents can dynamically allocate exploration targets, their work has influenced subsequent studies in multi-agent coordination and path planning. With a growing citation impact, de Bone continues to advance the frontier of autonomous systems, making their research essential reading for engineers and scientists working on field robotics, search-and-rescue operations, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1Decentralised Multi-Robot Exploration Using Monte Carlo Tree Search10 citations · 2023