{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T07:23:11Z","timestamp":1765610591828,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T00:00:00Z","timestamp":1661472000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,26]]},"DOI":"10.1145\/3562007.3562050","type":"proceedings-article","created":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T22:13:51Z","timestamp":1665612831000},"page":"225-229","source":"Crossref","is-referenced-by-count":0,"title":["A Guided Task and Obstacle Alert Robot System Based on TinyML and Augmented Reality"],"prefix":"10.1145","author":[{"given":"Xiangyu","family":"Zhu","sequence":"first","affiliation":[{"name":"Inspur Academy of Science and Technology, China"}]},{"given":"Rui","family":"Li","sequence":"additional","affiliation":[{"name":"Inspur Academy of Science and Technology, China"}]},{"given":"Jia","family":"Hu","sequence":"additional","affiliation":[{"name":"Inspur Academy of Science and Technology, China"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Inspur Software Group Ltd, China"}]},{"given":"Qingcai","family":"Luo","sequence":"additional","affiliation":[{"name":"Inspur Academy of Science and Technology, China"}]},{"given":"Qiang","family":"Duan","sequence":"additional","affiliation":[{"name":"Inspur Academy of Science and Technology, China"}]},{"given":"Kai","family":"Jiang","sequence":"additional","affiliation":[{"name":"Inspur Academy of Science and Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2022,10,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Harvard Online Courses","author":"Fundamentals","year":"2021","unstructured":"Fundamentals of TinyML. Harvard Online Courses . ( 2021 , October 26). Retrieved October 29, 2021, from https:\/\/online-learning.harvard.edu\/course\/fundamentals-tinyml?delta=0. D. Z. Cheng, Matrix and Polynomial Approach to Dynamic Control Systems, Science Press , Beijing, China, 2002 Fundamentals of TinyML. Harvard Online Courses. (2021, October 26). Retrieved October 29, 2021, from https:\/\/online-learning.harvard.edu\/course\/fundamentals-tinyml?delta=0. D. Z. Cheng, Matrix and Polynomial Approach to Dynamic Control Systems, Science Press, Beijing, China, 2002"},{"key":"e_1_3_2_1_2_1","volume-title":"TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. Johnbreslin","author":"Yahya D.-D.","year":"2021","unstructured":"Sudharsan, B., Salerno, S., Nguyen, D.-D. , Yahya , M., & Wahid, A. ( 2021 ). TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. Johnbreslin Sudharsan, B., Salerno, S., Nguyen, D.-D., Yahya, M., & Wahid, A. (2021). TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. Johnbreslin"},{"key":"e_1_3_2_1_3_1","volume-title":"Augmented Reality and Deep Learning Guided Task Oriented Robot. Chinese Control and Decision Conference. https:\/\/doi.org\/978-1-6654-4089-9","author":"R.","year":"2021","unstructured":"Duan, Q., Zhu, X., Feng, L., Li, X., Yin, Q., & Li, R. ( 2021 ). Augmented Reality and Deep Learning Guided Task Oriented Robot. Chinese Control and Decision Conference. https:\/\/doi.org\/978-1-6654-4089-9 Duan, Q., Zhu, X., Feng, L., Li, X., Yin, Q., & Li, R. (2021). Augmented Reality and Deep Learning Guided Task Oriented Robot. Chinese Control and Decision Conference. https:\/\/doi.org\/978-1-6654-4089-9"},{"key":"e_1_3_2_1_4_1","volume-title":"Interactive Intention Prediction Model for Humanoid Robot Based on Visual Features. 2021 2nd International Conference on Control, Robotics and Intelligent System. Association for Computing Machinery","author":"Bi Jian","year":"2021","unstructured":"Jian Bi , Miao He , Mingnan Luo , and Fangchao Hu . 2021 . Interactive Intention Prediction Model for Humanoid Robot Based on Visual Features. 2021 2nd International Conference on Control, Robotics and Intelligent System. Association for Computing Machinery , New York, NY, USA, 36\u201341. https:\/\/doi.org\/10.1145\/3483845.3483852 Jian Bi, Miao He, Mingnan Luo, and Fangchao Hu. 2021. Interactive Intention Prediction Model for Humanoid Robot Based on Visual Features. 2021 2nd International Conference on Control, Robotics and Intelligent System. Association for Computing Machinery, New York, NY, USA, 36\u201341. https:\/\/doi.org\/10.1145\/3483845.3483852"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 2019 on Designing Interactive Systems Conference. ACM,1059-1070","author":"Cao Yuanzhi","year":"2019","unstructured":"Yuanzhi Cao , Zhuangying Xu , Fan Li , Wentao Zhong , Ke Huo , and Karthik Ramani . 2019 . V. Ra: An In-Situ Visual Authoring System for Robot-IoT Task Planning with Augmented Reality . In Proceedings of the 2019 on Designing Interactive Systems Conference. ACM,1059-1070 Yuanzhi Cao, Zhuangying Xu, Fan Li, Wentao Zhong,Ke Huo, and Karthik Ramani. 2019. V. Ra: An In-Situ Visual Authoring System for Robot-IoT Task Planning with Augmented Reality. In Proceedings of the 2019 on Designing Interactive Systems Conference. ACM,1059-1070"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3483845.3483891"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction. ACM, 419-428","author":"Cao Yuanzhi","year":"2018","unstructured":"Yuanzhi Cao , Zhuangying Xu , Terrell Glenn , Ke Huo , and Karthik Ramani . 2018 . Ani-Bot: A Modular Robotics System Supporting Creation, Tweaking, and Usage with Mixed Reality Interactions . In Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction. ACM, 419-428 Yuanzhi Cao, Zhuangying Xu, Terrell Glenn, Ke Huo, and Karthik Ramani. 2018. Ani-Bot: A Modular Robotics System Supporting Creation, Tweaking, and Usage with Mixed Reality Interactions. In Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction. ACM, 419-428"},{"key":"e_1_3_2_1_8_1","volume-title":"TinyML machine learning with tensorflow lite on Arduino and ultra-low Power Microcontrollers","author":"D.","year":"2020","unstructured":"Warden, P., & Situnayake, D. ( 2020 ). TinyML machine learning with tensorflow lite on Arduino and ultra-low Power Microcontrollers . O'Reilly Media Inc Warden, P., & Situnayake, D. (2020). TinyML machine learning with tensorflow lite on Arduino and ultra-low Power Microcontrollers. O'Reilly Media Inc"},{"key":"e_1_3_2_1_9_1","unstructured":"Google. (n.d.). Tensorflow Lite. Google. Retrieved October 29 2021 from https:\/\/tensorflow.google.cn\/lite\/performance\/post_training_quantization  Google. (n.d.). Tensorflow Lite. Google. Retrieved October 29 2021 from https:\/\/tensorflow.google.cn\/lite\/performance\/post_training_quantization"},{"volume-title":"Google. Retrieved","year":"2021","key":"e_1_3_2_1_10_1","unstructured":"Google. (n.d.). TFRecord and tf.example  |  Tensorflow Core . Google. Retrieved October 29, 2021 , from https:\/\/tensorflow.google.cn\/tutorials\/load_data\/tfrecord Google. (n.d.). TFRecord and tf.example  |  Tensorflow Core. Google. Retrieved October 29, 2021, from https:\/\/tensorflow.google.cn\/tutorials\/load_data\/tfrecord"},{"key":"e_1_3_2_1_11_1","volume-title":"Retrieved","author":"Tensorflow","year":"2021","unstructured":"Tensorflow Lite for microcontrollers. TensorFlow. (n.d.) . Retrieved October 29, 2021 , from https:\/\/www.tensorflow.org\/lite\/microcontrollers Tensorflow Lite for microcontrollers. TensorFlow. (n.d.). Retrieved October 29, 2021, from https:\/\/www.tensorflow.org\/lite\/microcontrollers"},{"key":"e_1_3_2_1_12_1","volume-title":"Retrieved","author":"Arduino","year":"2021","unstructured":"Arduino nano 33 ble sense. Arduino Online Shop. (n.d.) . Retrieved October 29, 2021 , from https:\/\/store-usa.arduino.cc\/products\/arduino-nano-33-ble-sense Arduino nano 33 ble sense. Arduino Online Shop. (n.d.). Retrieved October 29, 2021, from https:\/\/store-usa.arduino.cc\/products\/arduino-nano-33-ble-sense"},{"key":"e_1_3_2_1_13_1","volume-title":"- mit. (n.d.). Retrieved","author":"CMOS VGA","year":"2021","unstructured":"OV7670\/OV7171 CMOS VGA (640x480) camerachip ... - mit. (n.d.). Retrieved October 29, 2021 , from http:\/\/web.mit.edu\/6.111\/www\/f2016\/tools\/OV7670app.pdf OV7670\/OV7171 CMOS VGA (640x480) camerachip ... - mit. (n.d.). Retrieved October 29, 2021, from http:\/\/web.mit.edu\/6.111\/www\/f2016\/tools\/OV7670app.pdf"}],"event":{"name":"CCRIS'22: 2022 3rd International Conference on Control, Robotics and Intelligent System","acronym":"CCRIS'22","location":"Virtual Event China"},"container-title":["2022 3rd International Conference on Control, Robotics and Intelligent System"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3562007.3562050","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3562007.3562050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:08Z","timestamp":1750182548000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3562007.3562050"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,26]]},"references-count":13,"alternative-id":["10.1145\/3562007.3562050","10.1145\/3562007"],"URL":"https:\/\/doi.org\/10.1145\/3562007.3562050","relation":{},"subject":[],"published":{"date-parts":[[2022,8,26]]}}}