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RW4T Dataset: Data of Human-Robot Behavior and Cognitive States in Simulated Disaster Response Tasks.

, , , , , and . HRI, page 924-928. ACM, (2024)

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Erratum to: Implementation of wide-field integration of optic flow for autonomous quadrotor navigation., , , and . Auton. Robots, 27 (3): 199-200 (2009)Bio-inspired modeling and implementation of the ocelli visual system of flying insects., , and . Biol. Cybern., 108 (6): 735-746 (2014)Measuring Variations in Workload during Human-Robot Collaboration through Automated After-Action Reviews., , , , and . HRI (Companion), page 852-856. ACM, (2024)Continuous Time Rate Gyro Calibration and Monocular Camera Misalignment Estimation using a Nonlinear Observer., , , and . PLANS, page 698-703. IEEE, (2020)Implementation of wide-field integration of optic flow for autonomous quadrotor navigation., , , and . Auton. Robots, 27 (3): 189-198 (2009)RW4T Dataset: Data of Human-Robot Behavior and Cognitive States in Simulated Disaster Response Tasks., , , , , and . HRI, page 924-928. ACM, (2024)Biomimetic sensing and modeling of the ocelli visual system of flying insects., , , and . IROS, page 1454-1459. IEEE, (2012)Analysis of Facial Expressions Explain Affective State and Trust-Based Decisions During Interaction with Autonomy., , , , , and . IHSI, volume 1131 of Advances in Intelligent Systems and Computing, page 999-1006. Springer, (2020)Continuous time rate gyro calibration and motion capture system misalignment estimation using a nonlinear observer., , and . MFI, page 487-492. IEEE, (2016)Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments., , , , and . AAMAS, page 465-473. International Foundation for Autonomous Agents and Multiagent Systems, (2020)