Jessica B. Hamrick
Papers
5
Total Citations
67
H-Index
4
About
Jessica B. Hamrick is a leading researcher at the intersection of artificial intelligence, cognitive science, and human-robot interaction. Her work fundamentally addresses how robots can understand and collaborate with people by modeling human goals and intentions. Her most influential contributions center on goal inference—the idea that robots can dramatically improve both objective performance and perceived quality of collaboration by predicting what their human partners are trying to achieve. Her 2016 paper on this topic, with 25 citations, demonstrates that robots capable of inferring goals are seen as more competent and are safer to work with. Hamrick has also advanced the field of value alignment, exploring how robots can learn human values through pragmatic, pedagogic interactions (2019, 16 citations). Her work on "Generating Plans that Predict Themselves" (2020) pushes toward robots that act in ways that are inherently legible to humans. By blending insights from cognitive science with practical robotics, Hamrick is shaping a future where human-robot teams work together seamlessly, with machines that not only act intelligently but also understand the people they serve.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Pragmatic-Pedagogic Value Alignment16 citations · 2019
- 4Generating Plans that Predict Themselves4 citations · 2020
- 5