1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 1 cited
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
Peter Du, Surya Murthy, Katherine Driggs-Campbell
As advances in artificial intelligence enable increasingly capable learning-based autonomous agents, it becomes more challenging for human observers to efficiently construct a ment…
cs.RO2023
Adaptive Failure Search Using Critical States from Domain Experts
Peter Du, Katherine Driggs-Campbell
Uncovering potential failure cases is a crucial step in the validation of safety critical systems such as autonomous vehicles. Failure search may be done through logging substantia…
cs.CV2022
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material)
Yuan Shen, Niviru Wijayaratne, Pranav Sriram +3
The task of driver attention prediction has drawn considerable interest among researchers in robotics and the autonomous vehicle industry. Driver attention prediction can play an i…