153 citations · 716 across the 39 of their papers we have counts for
8 papers · 1 filter
RoCUS: Robot Controller Understanding via Sampling
Yilun Zhou, Serena Booth, Nadia Figueroa +1
As robots are deployed in complex situations, engineers and end users must develop a holistic understanding of their behaviors, capabilities, and limitations. Some behaviors are di…
Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators
Claudia Pérez-D'Arpino, Rebecca P. Khurshid, Julie A. Shah
Remote robot manipulation with human control enables applications where safety and environmental constraints are adverse to humans (e.g. underwater, space robotics and disaster res…
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
Lindsay Sanneman, Christopher Fourie, Julie A. Shah
Robotics and related technologies are central to the ongoing digitization and advancement of manufacturing. In recent years, a variety of strategic initiatives around the world inc…
Trust Considerations for Explainable Robots: A Human Factors Perspective
Lindsay Sanneman, Julie A. Shah
Recent advances in artificial intelligence (AI) and robotics have drawn attention to the need for AI systems and robots to be understandable to human users. The explainable AI (XAI…
Interactive Robot Training for Non-Markov Tasks
Ankit Shah, Samir Wadhwania, Julie Shah
Defining sound and complete specifications for robots using formal languages is challenging, while learning formal specifications directly from demonstrations can lead to over-cons…
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
Serena Booth, Yilun Zhou, Ankit Shah +1
Post-hoc explanation methods are gaining popularity for interpreting, understanding, and debugging neural networks. Most analyses using such methods explain decisions in response t…
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach
Serena Booth, Ankit Shah, Yilun Zhou +1
Though neural network models demonstrate impressive performance, we do not understand exactly how these black-box models make individual predictions. This drawback has led to subst…
Adversarially Guided Self-Play for Adopting Social Conventions
Mycal Tucker, Yilun Zhou, Julie Shah
Robotic agents must adopt existing social conventions in order to be effective teammates. These social conventions, such as driving on the right or left side of the road, are arbit…