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FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs SENSE: Stereo OpEN Vocabulary SEmantic Segmentation Continual Hand-Eye Calibration for Open-world Robotic Manipulation PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology $π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities R3D: Revisiting 3D Policy Learning Vision-Based Safe Human-Robot Collaboration with Uncertainty Guarantees Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning HRDexDB: A Large-Scale Dataset of Dexterous Human and Robotic Hand 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Exploratory evaluation of politeness in human-robot interaction
Shikhar Kumar, Eliran Itzhak, Samuel Olatunji, Vardit Sarne-Flei · 2021-03-15 · via cs.RO updates on arXiv.org

Aiming to explore the impact of politeness on Human robot interaction, this study tested varying levels of politeness in a human robot collaborative table setting task. Polite behaviour was designed based on the politeness rules of Lakoff. A graphical user interface was developed for the interaction with the robot offering three levels of politeness, and an experiment was conducted with 20 older adults and 30 engineering students. Results indicated that the quality of interaction was influenced by politeness as participants significantly preferred the polite mode of the robot. However, the older adults were less able to distinguish between the three politeness levels. Future studies should thus include pre experiment training to increase the familiarity of the older adults with robotic technology. These studies should also include other permutations of the politeness rules of Lakoff.

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