{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:28:13Z","timestamp":1777498093654,"version":"3.51.4"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,27]]},"DOI":"10.1109\/iros51168.2021.9635919","type":"proceedings-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T20:45:38Z","timestamp":1639687538000},"page":"1763-1770","source":"Crossref","is-referenced-by-count":18,"title":["AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection"],"prefix":"10.1109","author":[{"given":"Xiaoran","family":"Fan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riley","family":"Simmons-Edler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daewon","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Larry","family":"Jackel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Howard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IRC.2020.00061"},{"key":"ref11","article-title":"Kinova Jaco Prosthetic robotic arm","year":"2018"},{"key":"ref12","article-title":"VNA-UHF - Two Port Vector Network Analyzer, 5 kHz to 1200 MHz","year":"2021"},{"key":"ref13","article-title":"Noico 80 mil sound deadner","year":"2020"},{"key":"ref14","article-title":"An empirically based path loss model for wireless channels in suburban environments","author":"erceg","year":"0","journal-title":"IEEE Journal on Selected Areas in Communications"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341719"},{"key":"ref16","article-title":"The cusum algorithm-a small review","author":"granjon","year":"2013"},{"key":"ref17","article-title":"CPT-2065-L100 Piezo Element","year":"2021"},{"key":"ref18","article-title":"SMSL M100 USB DAC","year":"2021"},{"key":"ref19","article-title":"Alex Cavalli Liquid Carbon X Amp","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-5591"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0921-8890(02)00271-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23778-7_14"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-04223-6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2014.04.004"},{"key":"ref7","article-title":"Bio-inspired obstacle avoidance for flying robots with active sensing","author":"chen","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891909"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5370\/JEET.2017.12.1.310"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3380899"},{"key":"ref20","article-title":"Zoom F8n MultiTrack Field Recorder","year":"2015"},{"key":"ref22","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref21","article-title":"Intel NUC7i7BNH","year":"2019"},{"key":"ref24","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"ICML"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"CoRR"}],"event":{"name":"2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Prague, Czech Republic","start":{"date-parts":[[2021,9,27]]},"end":{"date-parts":[[2021,10,1]]}},"container-title":["2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9635848\/9635849\/09635919.pdf?arnumber=9635919","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:50Z","timestamp":1652201690000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9635919\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,27]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/iros51168.2021.9635919","relation":{},"subject":[],"published":{"date-parts":[[2021,9,27]]}}}