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Invited: Using Causal Information to Enable More Efficient Robot Operation
DescriptionCausal reasoning often guides decision-making in humans, especially in the face of imperfect knowledge about the task or the environment. If robots have access to human causal knowledge, we hypothesize that it will enable the robots to make smarter decisions more efficiently under uncertainty. In this talk, we present a process to integrate human causal reasoning into a robot's decision-making process, specifically in the context of object assembly. We will also discuss broader implications of using generalized causal knowledge from a human to aid robots in completing different tasks, including ones they have not previously encountered.
Event Type
Special Session (Research)
TimeTuesday, June 254:00pm - 4:30pm PDT
Location3006, 3rd Floor
Topics
Autonomous Systems