Chalmers University of Technology
Whole organizationShowing 13 publications
Explainable and Interpretable Methods for Handling Robot Task Failures
Enabling Robots to Identify Missing Steps in Robot Tasks for Guided Learning from Demonstration
Leveraging Symbolic Models in Reinforcement Learning for Multi-skill Chaining
Learning Robot Skills From Demonstration for Multi-Agent Planning
A causal-based approach to explain, predict and prevent failures in robotic tasks
The Importance of Human Factors for Trusted Human-Robot Collaborations
Why Did I Fail? a Causal-Based Method to Find Explanations for Robot Failures
Explainable and Interpretable Decision-Making for Robotic Tasks
Optimizing robot planning domains to reduce search time for long-horizon planning
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