Maarten Weyn
Papers
7
Total Citations
153
H-Index
3
About
Maarten Weyn is a leading researcher at the intersection of robotics, wireless communication, and autonomous systems. His work primarily focuses on 3D perception for robotics, indoor localization, and energy-efficient multi-agent systems. Weyn’s most cited paper, "A Survey of Rigid 3D Pointcloud Registration Algorithms" (2014, 97 citations), provides a foundational overview of geometric alignment techniques for depth sensors, a critical challenge in robotics and computer vision. He also developed the 3DVFH+ algorithm, enabling real-time 3D obstacle avoidance using Octomaps, which has been influential for autonomous navigation. In the domain of wireless sensor networks, Weyn has pioneered the use of DASH7 technology for robot localization and validated indoor ray launching RF propagation models for sub-GHz communication, bridging the gap between physical environments and digital mapping. His recent work on energy-aware multi-robot task scheduling (2024, 22 citations) explores meta-heuristic optimization for ambiently-powered robot swarms, addressing sustainability in multi-robot systems. With contributions spanning from low-latency sensor networks to 3D mapping, Weyn’s research continues to shape practical solutions for autonomous robotics and IoT, earning him recognition as a key innovator in these fields.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Rigid 3D Pointcloud Registration Algorithms97 citations · 2014
- 23DVFH+: Real-Time Three-Dimensional Obstacle Avoidance Using an Octomap.25 citations · 2014
- 3
- 4Validation of an indoor ray launching RF propagation model3 citations · 2016
- 5Robot Localization With DASH7 Technology3 citations · 2013
- 6Realistic Indoor Radio Propagation for Sub-GHz Communication2 citations · 2018
- 7