Kinesthetic Curiosity: Towards Personalized Embodied Learning with a Robot Tutor Teaching Programming in Mixed Reality

Groechel, Thomas R.; Pakkar, Roxanna; Dasgupta, Roddur; Kuo, C.-C. Jay; Lee, Haemin; Cordero, Julia; Mahajan, Kartik; Matarić, Maja J.

doi:10.1007/978-3-030-71151-1_22

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…There are several modalities that are currently used in human–robot interaction, including audio, visual, haptic, kinesthetic, and proprioceptive modality (Navarro et al, 2015 ; Li and Zhang, 2017 ; Ferlinc et al, 2019 ; Deuerlein et al, 2021 ; Groechel et al, 2021 ). These modalities can be used alone or in combination to enable different forms of human–robot interaction, such as voice commands, visual gestures, and physical touch.…”

Section: Modalities Used In Human–robot Interactionmentioning

confidence: 99%

“…Robots that use kinesthetic modalities can sense and control their own movement. This can be done by using sensors to measure the position and movement of the robot's joints, and actuators to control those joints (Groechel et al, 2021 ). This modality is used in applications such as industrial robots, bipedal robots, and robots for search and rescue.…”

Section: Modalities Used In Human–robot Interactionmentioning

confidence: 99%

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Recent advancements in multimodal human–robot interaction

Yang

et al. 2023

Front. Neurorobot.

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Robotics have advanced significantly over the years, and human–robot interaction (HRI) is now playing an important role in delivering the best user experience, cutting down on laborious tasks, and raising public acceptance of robots. New HRI approaches are necessary to promote the evolution of robots, with a more natural and flexible interaction manner clearly the most crucial. As a newly emerging approach to HRI, multimodal HRI is a method for individuals to communicate with a robot using various modalities, including voice, image, text, eye movement, and touch, as well as bio-signals like EEG and ECG. It is a broad field closely related to cognitive science, ergonomics, multimedia technology, and virtual reality, with numerous applications springing up each year. However, little research has been done to summarize the current development and future trend of HRI. To this end, this paper systematically reviews the state of the art of multimodal HRI on its applications by summing up the latest research articles relevant to this field. Moreover, the research development in terms of the input signal and the output signal is also covered in this manuscript.

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