Papers
7
Total Citations
240
H-Index
5
About
Dr. Kingsley Fregene is a pioneering roboticist whose research spans distributed multi-robot systems, human-robot interaction, and autonomous navigation in unstructured environments. His foundational work on cooperative outdoor multi-robot localization and mapping—particularly his 2004 paper with 104 citations—introduced an Extended Kalman Filter (EKF)-based algorithm enabling teams of robots to maintain individual pose estimates while collaborating in real time. This distributed approach, extended in his 2003 work (85 citations), addressed the critical challenge of heterogeneous sensing in outdoor terrains, laying the groundwork for scalable multi-agent autonomy. Dr. Fregene further advanced terrain mapping by fusing vision-based depth data with elevation gradients, allowing incremental map building by multiple robotic agents. His later contributions to human-guided autonomy were showcased as Team TROOPER leader at the DARPA Robotics Challenge Finals, where he developed architectures balancing automated task execution with human oversight for unexpected scenarios. More recently, he has explored trust-driven privacy in human-robot interactions, introducing differential privacy for trajectory sharing. With over 240 total citations across his most influential works, Dr. Fregene’s research continues to shape how robots collaborate with each other and with humans in complex, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Distributed Cooperative Outdoor Multirobot Localization and Mapping104 citations · 2004
- 2Distributed heterogeneous outdoor multi-robot localization85 citations · 2003
- 3
- 4Incremental multi-agent robotic mapping of outdoor terrains17 citations · 2003
- 5
- 6Trust-Driven Privacy in Human-Robot Interactions4 citations · 2019
- 7