Development of Mind Control System for Humanoid Robot through a Brain Computer Interface

Li, Wei; Jaramillo, Christian; Li, Yunyi

doi:10.1109/isdea.2012.484

Cited by 35 publications

(14 citation statements)

References 15 publications

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“…Cerebot is a mind-controlled humanoid robot platform (Li et al, 2011 , 2012 ). Cerebus™ is the neural signal acquisition system in this platform.…”

Section: Methodsmentioning

confidence: 99%

“…A P300 model based on visual attention mechanism (Jin et al, 2012 ) is commonly used in the ERP-based brain-computer-interfaces (BCIs). When we evaluated the P300 model on Cerebot—a mind-controlled humanoid robot (Li et al, 2011 , 2012 ), we noted some issues of this model (Li et al, 2013a , b ). First, this model needs to flash a visual stimulus by growing its visual contrast, which easily causes people's visual fatigue (Hong et al, 2009 ).…”

Section: Introductionmentioning

confidence: 99%

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Control of humanoid robot via motion-onset visual evoked potentials

Zhao

2015

Front. Syst. Neurosci.

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This paper investigates controlling humanoid robot behavior via motion-onset specific N200 potentials. In this study, N200 potentials are induced by moving a blue bar through robot images intuitively representing robot behaviors to be controlled with mind. We present the individual impact of each subject on N200 potentials and discuss how to deal with individuality to obtain a high accuracy. The study results document the off-line average accuracy of 93% for hitting targets across over five subjects, so we use this major component of the motion-onset visual evoked potential (mVEP) to code people's mental activities and to perform two types of on-line operation tasks: navigating a humanoid robot in an office environment with an obstacle and picking-up an object. We discuss the factors that affect the on-line control success rate and the total time for completing an on-line operation task.

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“…Cerebot is a mind-controlled humanoid robot platform (Li et al, 2011 , 2012 ). Cerebus™ is the neural signal acquisition system in this platform.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Control of humanoid robot via motion-onset visual evoked potentials

Zhao

2015

Front. Syst. Neurosci.

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“…In the proposed brain-controlled robot system, users can construct different types of robots, write programs for their applications, and control robot behavior via brain signals. Especially, we conduct the comparative study of the education-oriented system with the Cerebot [13] [14][15] that is equipped with a high precision Cerebus system widely used in laboratory research. The results show that the low-cost system delivers compatible accuracy for the robot control.…”

Section: Proceedings Of the 2015 Ieee Conference On Robotics And Biommentioning

confidence: 99%

Education-oriented portable brain-controlled robot system

Zhi

et al. 2015

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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In this paper, we develop an education-oriented portable brain-controlled robot system, consisting of a multi-parameter bioelectric signal acquisition device and a Lego NXT Mindstorms robot. The education-oriented portable brain-controlled robot system is only 45 in volume and weighs 70g. The signal acquisition section wirelessly acquires brain signals and the control section remotely navigates a Lego robot via brainwaves through a Bluetooth. Teenagers may use the low-cost brain-controlled robot to enjoy the pleasure of learning, to inspire their innovative ability and creativity, and to raise their mental concentration. Moreover, the proposed brain-controlled robot system might be used to improve the quality of adolescent education and autism recovery. The system modules include the brain signal acquisition, signal processing, and the robot control, which are developed in LabVIEW-based programming environment and easy to be expanded and upgraded. The comparative study of the education-oriented system and Cerebot equipped with the high precision Cerebus system widely used in laboratory research shows that the low-cost system delivers comparable accuracy for the robot control. An operation task is presented to train users' attentions and concentrations.978-1-4673-9675-2/15/$31.00 © 2015 IEEE

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“…Asynchronous BCI system is one of the candidate BCI systems where timing is controlled by an operator [3], [5], [6] [2]. However, such systems are usually limited to 2-3 task choices, require intensive attention of the patients and have long training time, making their usage troublesome for paralyzed people.…”

Section: Introductionmentioning

confidence: 99%

“…Electromyographic signals were also used in BCI telepresence systems. Li et al used muscular signals of two arms of a subject, left and right arms to turn the robot left and right respectively, and both arms to walk forward [5]. However, this is not a feasible solution for disabled people, since they may have problems with controlling their arm muscles.…”

Section: Introductionmentioning

confidence: 99%

Trained by demonstration humanoid robot controlled via a BCI system for telepresence

Saduanov

Alizadeh

et al. 2018

2018 6th International Conference on Brain-Computer Interface (BCI)

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Onerous life of paralyzed people is a substantial problem of the world society and improving their life quality would be a great achievement. This paper proposes a solution in this regard based on telepresence, where a patient perceives and interacts with a world through an embodiment of a robot controlled by a Brain-Computer Interface (BCI) system. The proposed approach brings together two leading techniques: Programming by Demonstration and BCI. Several tasks could be learned by the robot observing someone performing the function. The end user would issue commands to the robot, using a BCI system, concerning its movement and the tasks to be performed. An experiment is designed and conducted, verifying the applicability of the proposed approach.

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Development of Mind Control System for Humanoid Robot through a Brain Computer Interface

Cited by 35 publications

References 15 publications

Control of humanoid robot via motion-onset visual evoked potentials

Control of humanoid robot via motion-onset visual evoked potentials

Education-oriented portable brain-controlled robot system

Trained by demonstration humanoid robot controlled via a BCI system for telepresence

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