Cost-Based Anticipatory Action Selection for Human–Robot Fluency

By Guy Hoffman, Cynthia Lynn Breazeal. 2007

193 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology

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Citations in the corpus

Plan explicability and predictability for robot task planning (2015, background): “Our problem settings are as follows: an intelligent agent is given a goal by a human (so that the human knows the goal of the agent) working in the same environment and it needs to synthesize a plan to achieve the goal.”
How Robot Verbal Feedback Can Improve Team Performance in Human-Robot Task Collaborations (2015, background): “This prior work has demonstrated that robots that account for the actions of their collaborators when deciding what to do are preferred and perceived as more intelligent [17] and that anticipatory action can play an important role in increasing team fluency [8].”
Improved human-robot team performance using Chaski, A human-inspired plan execution system (2011, methodology): “These results are surprising considering previously reported results [ 8 ] that anticipatory action within a humanrobot team positively impacted these subjective measures.”
Evaluating Fluency in Human–Robot Collaboration (2019, background): “Three of them were originally proposed in [5]: the percentage of concurrent activity (C-ACT), the human’s idle time (H-IDLE), and the robot’s functional delay (F-DEL).”
Toward seamless human-robot handovers (2013, background): “Another work on human–robot collaboration is relevant for our work as it establishes metrics of interaction ﬂuency, which can be used in measuring the success of handovers (Hoffman & Breazeal, 2007).”
A Survey of Methods for Safe Human-Robot Interaction (2017, methodology): “A framework developed by Hoffman and Breazeal (2007) utilizes a cost-based Markov process to anticipate human actions and select actions based on the robot’s confidence in the validity of the prediction and risk. In this context, a “risky” robot action is one that could result in a significant waste”
Human-aware task planning for mobile robots (2009, background): “As noted by Hoffman and Breazeal [17], [18], cooperation between robots and humans can be greatly improved if the robots can predict the actions of the humans.”