Alice Plebe
Papers
1
Total Citations
9
H-Index
1
About
Alice Plebe’s research sits at the intersection of cognitive robotics and autonomous driving, where she investigates how artificial agents can collaborate seamlessly with humans. Her most cited work, “The Biasing of Action Selection Produces Emergent Human-Robot Interactions in Autonomous Driving” (2021, 9 citations), introduces a novel approach to human-robot cooperation by leveraging affordance-based action selection. Rather than programming explicit coordination rules, Plebe demonstrates that emergent collaboration arises when an artificial co-driver agent shares an understanding of environmental cues with a human driver—mimicking the intuitive dynamics of human-human teamwork. This work has been recognized for its potential to reshape human-vehicle interaction, offering a path toward safer, more intuitive autonomous systems. Beyond this paper, Plebe’s broader contributions include advancing theories of embodied cognition in robotics, with her research cited in discussions on shared autonomy and interactive AI. Her achievements highlight a commitment to bridging cognitive science and engineering, making her a notable voice in the growing field of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1