论文标题

通过传热识别材料识别,给定的初始条件模棱两可

Material Recognition via Heat Transfer Given Ambiguous Initial Conditions

论文作者

Bhattacharjee, Tapomayukh, Clever, Henry M., Wade, Joshua, Kemp, Charles C.

论文摘要

人类和机器人可以通过在传热过程中进行身体接触和观察温度来识别具有不同热积液的材料。这与人体温度下的室温材料和人体和机器人很好地搭配。过去的研究表明,冷却或加热材料会导致与其他材料接触的温度。为了彻底研究这种感知的歧义,我们设计了一个心理物理实验,在该实验中,参与者在不同的初始条件下区分了两种材料。我们对32名人类参与者和一个机器人进行了一项研究。人类和机器人混淆了材料。我们还发现,在接触之前,机器人可以使用两个温度不同的温度传感器来克服这种歧义。我们使用传热模型和经验结果来支持这一结论,其中机器人获得了100%的准确性,而人类准确性为5%。我们的结果还表明,机器人可以使用微妙的线索来区分单个温度传感器的热模棱两可的材料。总体而言,我们的工作为通过传热识别材料识别的具有挑战性的条件提供了见解,并提出了机器人可以克服这些挑战以超越人类的方法。

Humans and robots can recognize materials with distinct thermal effusivities by making physical contact and observing temperatures during heat transfer. This works well with room temperature materials and humans and robots at human body temperatures. Past research has shown that cooling or heating a material can result in temperatures that are similar to contact with another material. To thoroughly investigate this perceptual ambiguity, we designed a psychophysical experiment in which a participant discriminates between two materials given ambiguous initial conditions. We conducted a study with 32 human participants and a robot. Humans and the robot confused the materials. We also found that robots can overcome this ambiguity using two temperature sensors with different temperatures prior to contact. We support this conclusion based on a mathematical proof using a heat transfer model and empirical results in which a robot achieved 100% accuracy compared to 5% human accuracy. Our results also indicate that robots can use subtle cues to distinguish thermally ambiguous materials with a single temperature sensor. Overall, our work provides insights into challenging conditions for material recognition via heat transfer, and suggests methods by which robots can overcome these challenges to outperform humans.

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