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Gaze contingency in turn-taking for human robot interaction: Advantages and drawbacks.

, , , , , and . RO-MAN, page 369-374. IEEE, (2015)

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Can a Humanoid Robot Spot a Liar?, , , , , , and . Humanoids, page 1045-1052. IEEE, (2018)View-Invariant Robot Adaptation to Human Action Timing., , , , and . IntelliSys (1), volume 868 of Advances in Intelligent Systems and Computing, page 804-821. Springer, (2018)Will You Rely on a Robot to Find a Treasure?, , and . HRI (Companion), page 71-72. ACM, (2017)HRI: a bridge between robotics and neuroscience., , and . HRI, page 501-502. ACM, (2014)Cognition Helps Vision: Recognizing Biological Motion Using Invariant Dynamic Cues., , and . ICIAP (2), volume 9280 of Lecture Notes in Computer Science, page 676-686. Springer, (2015)Corrigendum: A Socially Adaptable Framework for Human-Robot Interaction., , , , and . Frontiers Robotics AI, (2021)Understanding Object Weight from Human and Humanoid Lifting Actions., , , and . IEEE Trans. Autonomous Mental Development, 6 (2): 80-92 (2014)Robot reading human gaze: Why eye tracking is better than head tracking for human-robot collaboration., , , and . IROS, page 5048-5054. IEEE, (2016)Language Meddles with Infants' Processing of Observed Actions., , , , and . Front. Robotics and AI, (2016)Development of perception of weight from human or robot lifting observation., , , and . HRI, page 290-291. ACM, (2014)