Literature DB >> 26406024

A robo-pigeon based on an innovative multi-mode telestimulation system.

Junqing Yang1,2, Ruituo Huai2, Hui Wang2, Changzhi Lv2, Xuecheng Su2.   

Abstract

In this paper, we describe a new multi-mode telestimulation system for brain-microstimulation for the navigation of a robo-pigeon, a new type of bio-robot based on Brain-Computer Interface (BCI) techniques. The multi-mode telestimulation system overcomes neuron adaptation that was a key shortcoming of the previous single-mode stimulation by the use of non-steady TTL biphasic pulses accomplished by randomly alternating pulse modes. To improve efficiency, a new behavior model ("virtual fear") is proposed and applied to the robo-pigeon. Unlike the previous "virtual reward" model, the "virtual fear" behavior model does not require special training. The performance and effectiveness of the system to alleviate the adaptation of neurons was verified by a robo-pigeon navigation test, simultaneously confirming the practicality of the "virtual fear" behavioral model.

Entities:  

Keywords:  Robo-pigeon; bio-robot; brain-computer interface; multi-mode; telestimulation system

Mesh:

Year:  2015        PMID: 26406024     DOI: 10.3233/BME-151323

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  3 in total

1.  The robo-pigeon based on the multiple brain regions synchronization implanted microelectrodes.

Authors:  Rui-Tuo Huai; Jun-Qing Yang; Hui Wang
Journal:  Bioengineered       Date:  2016-07-03       Impact factor: 3.269

2.  Global Positioning System-Based Stimulation for Robo-Pigeons in Open Space.

Authors:  Junqing Yang; Ruituo Huai; Hui Wang; Wenyuan Li; Zhigong Wang; Meie Sui; Xuecheng Su
Journal:  Front Neurorobot       Date:  2017-08-14       Impact factor: 2.650

3.  Current Stimulation of the Midbrain Nucleus in Pigeons for Avian Flight Control.

Authors:  Jungwoo Jang; Changhoon Baek; Sunhyo Kim; Tae-Kyeong Lee; Gwang-Jin Choi; Shinyong Shim; Seunghyeon Yun; Younginha Jung; Chae-Eun Lee; Seunghyung Ko; Kangmoon Seo; Jong-Mo Seo; Moo-Ho Won; Sung J Kim; Yoon-Kyu Song
Journal:  Micromachines (Basel)       Date:  2021-06-30       Impact factor: 2.891

  3 in total

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