Problem 55615. Linear Motion 4

Created by Tanya Kuruvilla

Solve Later

{"parts":[{"partUri":"/matlab/document.xml","contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>A robot accelerates at a rate of A ft/s</w:t></w:r><w:r><w:t>2</w:t></w:r><w:r><w:t>.</w:t></w:r><w:r><w:t>  </w:t></w:r><w:r><w:t>Assuming the robot starts from rest how much time is required to reach an object located X ft away? Round to the nearest tenth of a second.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t> </w:t></w:r><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"95\"/><w:attr w:name=\"width\" w:val=\"349\"/><w:attr w:name=\"verticalAlign\" w:val=\"baseline\"/><w:attr w:name=\"altText\" w:val=\"\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p></w:body></w:document>","relationship":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","target":"/media/image1.jpeg","relationshipId":"rId1"}]},{"partUri":"/media/image1.jpeg","contentType":"image/jpeg","content":"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/2wBDAQMDAwQDBAgEBAgQCwkLEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBD/wAARCABfAV0DASIAAhEBAxEB/8QAHQABAAICAwEBAAAAAAAAAAAAAAcIAQYCAwUECf/EAEYQAAEDAwMBBQUECAMECwAAAAECAwQABREGBxIhCBMxQVEUGCKV0hVWV9MWIzJSYXGBkQlCYnKSlvAkMzQ1R2d1obPC8f/EABwBAQABBQEBAAAAAAAAAAAAAAAFAQIEBgcDCP/EADERAAIBAwIFAwMCBgMAAAAAAAABAgMEEQVSFRYhMaEGEkETUXEHIhQjMpGxwUJhgf/aAAwDAQACEQMRAD8A/VOlajuvrabt3oK56uttnausuIY7TEN2T7Oh1x59tlIU5xVwALgJPE9B4VobPaMasU2dZtzbLD05c7C5L+122pjktostREyWn4qw0nvkrQsJ4rDagsFIBOMgTVSovV2itvGL9adM3BF/t9yuqYSlMTLJJa9hExxTUUS1FPGOXXUFtIWRlWB0yK8rQnaP09dtN6Uma2bds9w1BaftF6QiE/8AZbLgZcfUz7UoFCXO5ZccCFHkUpJoCZaVE7XaX21Wza3Xvt6Kbo5+xKscllURgqbSmVJCk/qIylPNcXl4QeXj0OPkV2r9oU3Ny0mde+9akOsKcFillrizK9kkPBfDiWWZHFt1zPFCloycKzQEx0qK7j2lNrrW5dkzJ9yQi1PojB0WqQpucsy0w1CGoJxJ4SXENLLeQlS056HNdOl+0PYtYbjWvQdj03fnGrrYXr0i4u219pqM4zLXGdivhSR3LiFtLBCiMKwnxIoCWqVxQrmM9KjjdvdO/wChH7VZtI6PZ1FernHn3ERn7h7G0iHCbSt9XecFkuEuNIQnjgqXkqSATQEk0rydJ6kg6w0xadV2sOCFeYMe4Rg4nivunm0uI5DyOFDI9a9agFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAVjwrQN390l7RWq3awutqQ9pVq4Nx9R3AOkLtERwFKZpQEnm0h0th3qChCivqEkV3aK3CvGoduVbiX/AEnJtLbzMm5Q7ckqemLgJ5KjqW3xBS+60ErLQyUlYTkkGgN6pUCdn7tIXXdW4Mab1Ho+6QbjI09F1KmYmySokJLMl19LbBL3LC0pZThfLDpKigAJqe6A1LdbREzcXQdy0hb7y3aZUwx3GJjkX2hDLjL7bySprknmCWwCOQ6HxqOnuzzf51wkavvetbZdNUz1TlzXJVj5Wx4PQ0RGmPZO+5dw22gkoLhUtTiyVeAE5UoCselOztra16t/RmRrJ0aRgQNOqm8rYFC6OQpsmUliK4p0qjNtrLSClXeHuuCQQcqrC+xZHmXOxG77gLm26z2f7JKFW0iUlBgyIi0sO96UMtLElTqkd2ol0Z5YPGrNcMHlkf2rzdRXyPp61uXJ9tx4pKW2mWhlx91aglDaB5qUogD+/gKAgy+dmC7atumnNTa41TpjVF5skZNskKuulyuG/CQ8262GmEyU928FIUS4pS0kuH4AEpA9g9m0G0yrW3rSSkyLRebUHTDSSn2+6e395jl1LZ/V4/zDr08K9VetmXVOOXnerTFmmtqUlcCO5GcbjqBwW3FOL5OEYOT8PXOK3LSOpZdxedtN5EX7QZZRJQ9FXyjzYy88JDR8cEjBT14nHUgg1dKEodZLB5wqwqNqDTx9nkiGydke1WG+3Cfb7hZGWHrvGu0SU3ZFC6o7u6N3BbD0ovlLjalN938LaCBwJ5FPXc9LbMT9J6+j6zg6qS8ypu8MT4j0HJfamTlTGw24HB3ZacUUklKgtPkk9alMHIzWatPQ4oBCcGo23Y2svmu5lpvOltWo07d7XHuFv9pdgCY25DmtoQ+gI5oKXAWmloXkgKScpUCRUl1g4IxmgPL0rp+3aT03a9LWhK0wbNCYt8YLVyUGmm0oRk+ZwkZPrXq11MR2oyFIaTgKWpw9f8yiST/cmu2gFKUoBSlKAUpSgFKVgnHU0AyKZFcFOKHTgf6daBZAyEk0B2UrAOQD61hSuOP49KA5UrXdKa90rrdua5pe8MT/ALOkeyyggLSW3OIUOiwCUqSQpKgClQOUkitioBSlKAUpSgFKUoBSlKAUpSgMck+tY5p9a0TWeuEWyWu2s3+1WOPGW2mfdrktIaYW4CW2G0qUkLdUkFWCcJTg9SQK8e3a5Ql9bunNyLRrVuO2X5tvYcYM1DAxyda7o4Vxz+wodfAHJFXKE3H346I8nWpxkoOS9z+M9SVOQPnWa+WDLjTojE2G+l5iQ2l1pxJ6LQoZBH8wa+qrT1NC3X2xTuxDtWmL3PbGlUz0y79alMc/tlltJLURaicJYLvBbiSlXeJbCOgUrPZt1t/dtEaARoC46mcvLEBMiHbpjzREhuAVKEZl0lR71xpspbLnTmEAkAk1vNYqmMdgRfoLaC47f6gtVyhaqRKhRNI2/S82K7AwuSqEtxTEhDgX+r6PuhSOKs5TgjHWUa6XIzTrzb605W1y4HPhkYNd1VApSlAYPhWq6sUn7f00l9GY6JUl8enfIjOFH9cFZH+zW1HqK0/dWKpehbrco8kRplnivXKI+U8g2602ojI80kFSSPRRq6CcppHlXl9OnKX2TPzicTFuD701yMyszH3pCiUDJ7xxSuv+9Vr9pdRQXtC6JnSd4FW64QrQqGzGFmbWQgBKXGyeOVhJbT1/qfGqnwEFuHGHgUtIyP48RWx6Q/xG9iditOW6x3z7a1XfrQ1JtrMKyMJUzEZMhThUt9xSUKWv4BhGQlKAM5Jrp/ri3hTsLdQSyv79jhf6V3levq946jbi89euE89i536Ykf8Ajav/AIfR9NP0x/8AO1f/AA+j6aiTYj/E17Nm9t+j6QXOuWj77MWGokXUDKGm5KzjCEPpUW+RJ6BRBPlVtAsEkBPh/KuX4a7neMruVw3F3U3MsT8Frb/VD2pm323FSnE6e/7OoFIQPhA8cq8QfCtX0xud2gLvrCxxbq7em4T9yjokpTae6bLRWAoKPHonGeuatxw5dazw6YBxUjRv6dKi6X0k39/kjq9jVrVvqKq0vsjCORHUms5/jWQjHhUN7276XHam+2yzwNMsXP2+I7KUtyWWuHFwIAACTnOc/wBKwqFCpdVFSprqzMrVoW1N1Kj6ImTl69KxkfvVVj3xtRfh9B/rclfl098bUX4ewPmSvy6k+AX+zyiO45Y7/BafI/epkfvVVj3xtRfh7A+ZK/Lp742ovw9gfMlfl04Bf7PKKccsd/gtPkfvUyP3qqx742ovw9gfMlfl098bUX4ewPmSvy6cAv8AZ5Q45Y7/AAWn5D1NQn2k9T6vLFm2726XqL7fvAk3Rxen+69rYiw0ApJLjiEpbclORWlHPVCnBgjkRonvjai/D2B8yV+XXA9sG+qX3p26t/Pjx5/aKuWM+Ge78Kpy/qGzyivHLHf4Nn3K1Lcd2doturvp+4Q4MTV2obIi6RZSHl5QtzLsVXcutq+F1BQtJVg8Ck+deJpLW+ttyNI2TQOpdVW64XW+axucS5O2ZpcVyBaLZMcW829xcKm1KDcdgH4TwkJzlR5K+Adry8pQG07bWwJSorSkTyAFZzyA7vocknPr/OvPa7TgZv7mqWtpbMi7OxlRFzEziHCypaVqQSG/AqSknzPFOScDFX6fv859nlFOOWO/we692odZRrC6JESxG+Pahi2l1MRpMmDaGX25LqHlyROSzLCvZihP62Krkscm0ZSlW26F3z1Tq7V9p09emtL6aWu226VKtk6eHZtyXKbdUVwFsuqaW22WgOne8jzBUjhlUdo7UzjUJ22tbSWJuHIVzdjpkgNOK6dVIDWFHoPEeVdjPaulsLjuMbVWZtURBajqRLwWUHxSghv4Un0HSnAL/Z5K8dsd5O+2WjNX6Wcvc7W2obRfLneZiZTk2BbnohUkApQ2pDjzoCUICEoSjiAAonkpZUd8yPWqrjti6hSMDb6CB/6kr6Kz742ovw9gfMlfl04BqGzyinHLHf4LT5H71Mj96qse+NqL8PYHzJX5dPfG1F+HsD5kr8unAL/Z5Q45Y7/BafI/epn0JqrHvjai/D2B8yV+XT3x9R/h9B+ZK/LpwDUNnlDjljv8Fh9R62sWl7rY7TeZaozl/kriRHFD9WXko5BCj5FXgPU9PMV76VZHjmqNbt703PduJbINw03HtjdtfcfCmpanVLKkccfsjGPHPjU79nPeY60tw0fqWYDf7c1lp1ZwZ0cdOf8AFxPQLHn0V5ml1otxaW6rzX5X+ylrrNC5rujF/hk5UrGc+FZqHJkUpSgKidqiTHOkbXCWkKelawub7wIByWkOITnPogt4/hioq2En/Y27Nndj3ORazJjzIpeiQRJWcthYT3fE5H6vxx5VJPbNhpg6v0+mNJPcz2Zc16MU9EyB3DXeA/6kJAI9U58zVdm949L7G6gsuudUX82tiPIcbK2mS9I4LZW2stNAgrWAvpnCQcZrqOlW1Nelasp4y/d/k4Lr15Wl6+oQpZai4ppZ+3UvHYb3DhWiNFsu52o3YLQUGFp04Vp48ldAe66gHIH8sV6H6TSfxJ1L/wAMH8qqcWr/ABjdp7O9GtUTZDWjenYiUR25pkMF7gnoFFvOCfM/Hkk1dfYrtGbT9o3Sf6XbV6kRcmGlBqZFcBalQXSM9280eqTgdD1B8ia5e4Sh/UsHeIzjLszyZmqbk3FfXD3E1I5IS2pTSDpk4WsA8R/1fmcCockbldqSYkc4N+ZVxGQxYuGD5+Rq4gyoZzWCjPiazLO7jatuVNT/ACYl3aSuce2bjj7EcbC3HWty0GJOvTcjdDOkD/p7Xdu91kcPhwOnjipKriE4865Vi1Z/Um54xn4MmlB04KDecfIrGRWai3tH7o3DZ7bOVrW2mCl1iVFjFyaFFlpLroQVEJ6nxwB/GlODqzUF3ZSvWjb05VZdl16EokgedR/vzcfs3ZvWMoK4kWeQ2D/FaCj/AO1VSsnbX3U1Kh5zTiNOXVMchLxh2uU8GyRkBXE9CcHGa+PXe/8AvTr7Sdw0hc7LGjRbk2lt1xiwy+YSFBRAz064xWw23p+6jWhKTjhNN/uXbJpt/wCr7Gra1IU4zy4tL9ku7WCp/aO1derTp+06F0utSbxqySICFJOFJZ6JWB5jkVAZ9Aa2HbjZDQ+3loYitWeJPuXEGVPlNB1Tjn+biFZCU58hWib1Iuum94dsNSaqafbt/ta44edgOxkJc5g9SsYJ+IH+VT2oFJKT64/rXUdLhb6nfVq1XEvZiMV3wsHDvUFW70HRrS0t8wVX3Tm1lOUvdjD+ei+CNN09h9F7h2V5DFoi228toJiTYzYa+MDISsJ6EE4/iKuf/hmb96l3f2Sm6P17Ldlaq24nixTZDyuTsiNxzHcWT1KgErbJPUlvJ6mq95SlQUpQAHUk+AA8a2n/AAl4r9z1jvzreHk2e4XuHFjLH7DjiS+tRH8krR/vCtV/UDTra2dOvSSjKXRpf5N7/R/WL++p17S5k5Qgk031w89sn6PJziuVYSMCs1zQ7aKqV2wuX6c6eAz/AN0P/wDzpq2taRrvZ/Qu40+JcdWWtyU/CZWwypElxrCFKCiMJIz1ArP0y7jZXUa81lIwNTtZXltKjB9WUJwr0NMK9DV0R2XNmfu7J+YP/VWfdb2a+7kj5g/9VbjzdbbH4NS5WuH/AMkUtwfQ0wfQ1dL3Wtmvu9J+YP8A1U91rZr7vSfmD/1U5uttjHK1xuRS3B9DTB9DV0vda2a+70n5g/8AVT3Wtmvu9J+YP/VTm622McrXG5FLcH0NMKHkaul7rWzX3ek/MH/qp7rWzX3ek/MH/qpzdbbGOVrjciluFHyP9qYPoaul7rWzX3ek/MH/AKqe61s193pPzB/6qc3W2xjla43IpbhXoaz8Xof7VdH3Wtmvu9J+YP8A1U91rZr7vSfmD/1U5tttjHKtxuRS74vQ/wBqxg+hq6XutbNfd6T8wf8Aqp7rWzX3ek/MH/qpzdbbGOVrjciluD6GmD6Grpe61s193pPzB/6qe61s193pPzB/6qc3W2xjla43Ipbg+hphXoaul7rWzX3ek/MH/qp7rezXnp2R8wf+qnN1tsY5WuNyKWkK8wetbXtXpnVWqtd2uFpB9cSbEeRMXPSMphNJPxOK9c9UhJ/aJx4ZqTt+dktNaTVpeDtzYZBul7uDsNLIkuOd7hrkAeRISARkq8gCanXaHa23bXaYbtrS0SbjK4vXGYE4Lz2PBPohPgkenXxJry1H1DRq2f8AKX7pdMP4/wCy+x0GrC7X1H0j1z/o3poKSAFkk4weldmR61mutX7VaIzeMYRz5JPgRTI9ap52je0puXtrunP0rp2W6xbYkGLISWNNPXDJcQpS1KdQMA9P2fIDNeQxvL2uJTDcqNabk4y8hLjaxpBWFJUMgj4vAgg1L0NGrXFNVYzgk/vLDNbu/U9CzrSoSpVG18qDa/ufV2ypaXt0LTD59Itj5Kz4DvH1HP8AZFfnzobTcffzcu+7havQqVYLHK+z7VAWctLKcnr6gD4iPMq61bnX2nt/9yr27f8AUdi1OZr0REL9RpstoCEhWPhyeuVkn+lVl7LLqrZZtT6EuTLsW82G+PomRX0lDqCTxPJJ6ghSFA+hxXQNLhQatNNqzTSy5JPKb+Dk2s1bqlHUtdt4SjOXsjFuLTjF92vBMYsll9kFuNmt5iY49x7Kjhx9MYqL9JXZzsfdpDRu7ein3Yek9Tz27HqW2JWe57h1YCjj/TkOJ/dUg46Gpc8T0PXOKhTtMtr1Ezorba0p7+86l1FEahso6r/bCOX8ByXjP8D6VOesNPtJaXOpKKTj2aWDVP001jUY6/ToxnKUJ5Uk8tYxnP8A4fti1jgMHI9fWuddENn2eK1HKuRaQlBPrgYz/wC1d9cMPqkUpSgFaHvNYbnf9H93Z4SpkqBMjzxGTjk+ltfxoTnpy4kkDzIx51tl81DYNMW9V21Je7faYKFJQqTOkoYaSpRwkFayACT0Az1r5rFrLSGqUFzTOqbReEpHJRgTmpAA5FOTwUenIEfzBFA1nuR9sdp+7wl3q+3a0ybc1c1RmIrEloNPKQylXJxSPFIJXgA9fhz4EVK/dIPlWeSR/wDlZSpKhlJzVcst9kfsQV2wuzRaO1Js7P2+emN2+8xXRcrFcVJyIs5sEJ5Y692tJKF464OfECvyqn7o7vdnGadu+0NtheGZlrHctXBtJ4SWk9ErS7godSQOigc48a/cjiSTmvjulltV7YES8WqHPYBz3cphDqc+uFAipDTtVutKqfVtZYZE6xoOn69QVC/p+5Lqvhr8NH4jWvW+9XamnjbXs+7b3RpFy/UzbtISQ1HYOApTj2AhpGD1IJUR0A61+s/ZW7PWn+zLs5Z9rrLJE2TH5S7rcOHEzZzmC67jxCegSkHqEpHnmpSt1nt1njiHaLdFgxwchqMylpAP+ykAV99W6jql1qtX611LL8F2j6JY6Db/AMNYQ9sfL/L+THhWaxXnQNR6fus+darXfIEybbFpbnRo8lDjsVahlKXUJJKCR1AUBWASx6VYwKAg+HlWaAxxFOIrNKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFYxWaUB870CHIkMy3o6FvRwoNOFIKkcgArB8sgDNd4SB61mlAK4lIJzXKlAQbuft5re5asuE3TNuTMi3+O0yt4yktCG6lstKU4knJRxIUCnJyCMedTJZoAtlqiW1LpcTDYbjhfhyCEBOf64r7qUKYOBQnB8f71+dfbf7E256NypPad7LzAlXycnOo9OJICpqgMGQyk4S4pQA5tnBJHJPUkV+i9cVJz4VfSqzoTVSm8Ndjzr0KdxTdGrHMX0afyj8PDvXv4ZQ0wjs26l/SIq7ksG2S8d54fscPX/AFYq2XYg7E25je5DPac7TrAj6ghoP6OaeJSVQVKTj2h4DKW1JSSENjqCSpXUCv0Q4q/5NZAIqSvtbvtRgqdzUbSIbSvTOlaLUlVsaKhJ/PyGwAgAVyrA6CvE1nrbS+31gf1PrC8NW22R1JS4+4lSgFKOAAlIKiSfIA1FE8e5Svjtd3tl7tkS9WiazMgTmUSI0hlXJt5paQpK0kdCCCCDX2UBqm6lnjXzbjUttk2pq495apndx3I4f5udwvhhBByrOMdM5quR0zq+IxojSdgi6g09apth0ZEuP2LHXCW3zffE1JcaSFNqKAgOHIUkYPwnBq3FYwPSgKNOP752PQUV8XzXE4XaDBk6gdukqclUaM1dnmHO6VHbL7CzG7gLLCe8UgFwgqKlm1WxbuoHtqNOO6ovqLzcVRPjnIakI75HeL7vPtKUPFQb4JUpxKVKUkqI61vfEelMYoDNKUoBSlKAwaofJtdyt9pW/Z2r1pS96ctd2h6unItlwYXcZ0i8svMRlSYrannO/Q2+oSGOZbS4DkcsVfGsYH/JoDw9DS5U/R1knTbXMtsiRbozrsOa6XZEdamklTbqz1WtJOCo9SQSete7SlAKUpQClKUApSlAKUpQClKUApSlAKUpQClKUApSlAKUpQClKUApSlAKUpQClKUArS95JF3ibbXyTp+7T7XcksBMWdAtvt8mKta0o7xpjirmoBSv8pA6kjANbpSgK87Y2YaA3zlbcWGbfLrp616ZjxIiXHpjceypYQykNOIWlMWQt9Sluh5sqdCitCkhIFWFpgelZoD/2Q==","relationship":null}],"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","target":"/matlab/document.xml","relationshipId":"rId1"}]}

<div style = "text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; "><div style="block-size: 151.8px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 75.9px; transform-origin: 407px 75.9px; vertical-align: baseline; "><div style="block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">A robot accelerates at a rate of A ft/s</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">2</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">.</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">  </span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">Assuming the robot starts from rest how much time is required to reach an object located X ft away? Round to the nearest tenth of a second.</span></span></div><div style="block-size: 100.8px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 50.4px; text-align: left; transform-origin: 384px 50.4px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="font-weight: 700; "> </span></span><img class="imageNode" style="vertical-align: baseline" src="data:image/jpeg;base64,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" data-image-state="image-loaded"></div></div></div>

Solve

Solution Stats

210 Solutions
91 Solvers

Last Solution submitted on Jun 06, 2023

Last 200 Solutions

Solution Comments

Show comments

Problem Recent Solvers91

Problem Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Problem 55615. Linear Motion 4

Solution Stats

Last 200 Solutions

Solution Comments

Problem Recent Solvers91

Suggested Problems

More from this Author31

Problem Tags

Community Treasure Hunt

Problem 55615. Linear Motion 4

Solution Stats

Last 200 Solutions

Solution Comments

Problem Recent Solvers91

Suggested Problems

More from this Author31

Problem Tags

Community Treasure Hunt

Players