Skip to content
Main menu hidden.

Joint Statistical Seminars - Filip Edström

Time Tuesday 13 June, 2023 at 13:00 - 14:00
Place MIT.A.346

Title: Robot causal discovery aided by human interaction

Abstract: Causality is relatively unexplored in robotics even if it is highly relevant, in several respects. In this paper, we study how a robot's causal understanding can be improved by allowing the robot to ask humans causal questions. We propose a general algorithm for selecting direct causal effects to ask about, given a partial causal representation (using partially directed acyclic graphs, PDAGs) obtained from observational data. We propose three versions of the algorithm inspired by different causal discovery techniques, such as constraint-based, score-based, and interventions. We evaluate the versions in a simulation study and our results show that asking causal questions improves the causal representation over all simulated scenarios. Further, the results show that asking causal questions based on PDAGs discovered from data provides a significant improvement compared to asking questions at random, and the version inspired by score-based techniques performs particularly well over all simulated experiments. 

Event type: Seminar
Staff photo Filip Edström
Filip Edström
Doctoral student
Read about Filip Edström
Alp Yurtsever
Read about Alp Yurtsever