101 citations · 252 across the 19 of their papers we have counts for
6 papers · 1 filter
Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures
Devleena Das, Sonia Chernova
When interacting in unstructured human environments, occasional robot failures are inevitable. When such failures occur, everyday people, rather than trained technicians, will be t…
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation
Max Rudolph, Sonia Chernova, Harish Ravichandar
Multi-robot task allocation (MRTA) problems involve optimizing the allocation of robots to tasks. MRTA problems are known to be challenging when tasks require multiple robots and t…
An Interleaved Approach to Trait-Based Task Allocation and Scheduling
Glen Neville, Andrew Messing, Harish Ravichandar +2
To realize effective heterogeneous multi-robot teams, researchers must leverage individual robots' relative strengths and coordinate their individual behaviors. Specifically, heter…
Towards Robust One-shot Task Execution using Knowledge Graph Embeddings
Angel Daruna, Lakshmi Nair, Weiyu Liu +1
Requiring multiple demonstrations of a task plan presents a burden to end-users of robots. However, robustly executing tasks plans from a single end-user demonstration is an ongoin…
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
Devleena Das, Siddhartha Banerjee, Sonia Chernova
With the growing capabilities of intelligent systems, the integration of robots in our everyday life is increasing. However, when interacting in such complex human environments, th…
Continual Learning of Knowledge Graph Embeddings
Angel Daruna, Mehul Gupta, Mohan Sridharan +1
In recent years, there has been a resurgence in methods that use distributed (neural) representations to represent and reason about semantic knowledge for robotics applications. Ho…