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AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study.

, , , , , , and . SMC, page 3380-3385. IEEE, (2021)

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AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics., , , , and . Auton. Robots, 43 (1): 37-62 (2019)POMDP-based online target detection and recognition for autonomous UAVs., , and . ECAI, volume 242 of Frontiers in Artificial Intelligence and Applications, page 955-960. IOS Press, (2012)AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study., , , , , , and . SMC, page 3380-3385. IEEE, (2021)Properly Acting under Partial Observability with Action Feasibility Constraints., and . ECML/PKDD (1), volume 8188 of Lecture Notes in Computer Science, page 145-161. Springer, (2013)POMDP solving: what rewards do you really expect at execution?, , , and . STAIRS, volume 222 of Frontiers in Artificial Intelligence and Applications, page 50-62. IOS Press, (2010)Exploitation vs Caution: Risk-sensitive Policies for Offline Learning., , and . CoRR, (2021)A Robotic Execution Framework for Online Probabilistic (Re)Planning., , and . ICAPS, AAAI, (2014)Online Proactive Planning with Multiple Hypotheses., , and . STAIRS, volume 284 of Frontiers in Artificial Intelligence and Applications, page 123-134. IOS Press, (2016)Offline Learning for Planning: A Summary., , and . CoRR, (2020)Considering human's non-deterministic behavior and his availability state when designing a collaborative human-robots system., , , and . IROS, page 4391-4397. IEEE, (2016)