Jennifer Kreger
Papers
1
Total Citations
9
H-Index
1
About
Jennifer Kreger is a researcher in robotics and autonomous systems, with a focus on interactive machine learning and cooperative multi-robot perception. Her most-cited work, "Interactive Incremental Online Learning of Objects Onboard of a Cooperative Autonomous Mobile Robot" (2018), introduces a novel framework that enables robots to learn object recognition in real time through human interaction and collaborative sharing among robot teams. This contribution addresses a critical challenge in field robotics: enabling autonomous systems to adapt to dynamic, unstructured environments without requiring pre-trained models or offline computation. By allowing robots to incrementally update their knowledge while cooperating with peers, Kreger’s work enhances scalability and resilience in applications like search-and-rescue or environmental monitoring. With 9 citations, this paper has influenced subsequent research in lifelong learning and human-robot collaboration. Her achievements demonstrate a commitment to bridging the gap between theoretical machine learning and practical, deployable robotics—a vital step toward truly autonomous agents that learn and adapt on the fly.
Research Focus
Key Achievements
Top Papers
- 1