Derrick Dominic

Papers

Total Citations

263

H-Index

About

Derrick Dominic is a leading researcher in robotics and autonomous systems, with key contributions in multi-robot simultaneous localization and mapping (SLAM) and cooperative automated driving. His most influential work, "Pairwise Consistent Measurement Set Maximization for Robust Multi-Robot Map Merging" (2018, 195 citations), introduces a groundbreaking method for robustly selecting inter-map loop closures in multi-robot SLAM. This approach overcomes the limitations of existing methods that rely on good initialization or an "odometry backbone," enabling reliable map merging even in challenging, decentralized environments—a critical advancement for large-scale robotic teams. Dominic also made significant strides in vehicle automation with "Risk Assessment for Cooperative Automated Driving" (2016, 68 citations), which addresses the transfer of control and responsibility in connected autonomous vehicles. This work is foundational for ensuring safety in cooperative driving scenarios, where vehicles must share data to navigate complex traffic. His research bridges theoretical robustness with practical deployment, earning recognition for solving real-world challenges in multi-agent systems. With over 260 total citations, Dominic’s work continues to shape the future of autonomous navigation and collaborative robotics.