TheFutureof

Roboticsinthe

Warehouse

Presentedby:

TomPollard

Sponsoredby:

ApplicationsEngineer,

CimcorpNorthAmerica

?2015MHI?

Copyrightclaimedforaudiovisualworksand

soundrecordingsofseminarsessions.Allrightsreserved.

PresentationGoals

?Whatdoesthecurrentlandscapelooklike?

?Whataresomeofthekeyindustrytrends&developments

?Howwilltheseimpacttheuseofroboticstechnologyinthewarehouseactivities

WhatisRobotics

?Thebranchoftechnologythatdealswiththedesign,construction,operation,andapplicationofrobots

WhatisaRobot?

?Amachinecapableofcarryingoutacomplexseriesofactionsautomatically,esp.oneprogrammablebya

computer.

?Robot=Automation

?Automationdoesnotnecessarilymeanrobot

TraditionalWarehouse

?Palletsin->store->palletsout

?Lights-outwarehousinghasbeenaroundformanyyears

?Technologyisverymature

?Therehasneverbeenabettertimetoinvest

–Palletizers

–ASRS

–LayerPick

–AGV

ASRS

LayerPickingRobots

?CanholdhundredsofSKUs

?Highthroughput,goodROI

CasePickingRobots

?CanholdhundredsofSKUs

?Pick1,2….10cases@time

GoodsToPersonRobots

?CanholdthousandsofSKUs

?Maximizehumantraits

?GoodstoRobotsRobots?

OrderFulfillmentCentres

?MultiChannelunderoneroof

–Wholesale(pallet,layer)

–Retail(DSD–case,piece)

–Online/Mobile(piece)

?Moreorders

?Morecomplexity

?Fasterturnaround

Roboticscanhelpwithallofthis

MaterialFlow

Pallet

Picking

Putaway/Storage

TruckLoading

Receiving

Palletize

LayerPicking

FloorLoad

CasePicking

Piece

Picking

IndustryTrends/Forces

1.Algorithms

2.SensingTechnology

3.Opensourcesoftware

4.BigData

5.ProcessingPower

Algorithms

?Logicwillcontinuetoprogressexponentially

?Processingpowerplaysabigpart

?Betterlogicwillmakeforamoreefficient

system

Algorithms-MixedPalletizing

?Mixedpalletbuildlogichascreatednew

applicationforrobotics

?Morestableloads

?Bettercubeutilization

Algorithms-LoadPlanning

?Extendedtotrailerloadplanning

?Betterplannedpalletscanmeanbetterplanned

loads

Algorithms

?Betterplannedloadscanmeanbetterplannedroutes

?Betterplannedroutesmeansfaster,moreefficientdeliveries

?Lesstrucks,lessdrivers

?Savingscanbeinthemillions

?AllenabledbyRobotics

SensingTechnology

?Mostroboticoperationshavebeenbasedontargeting

?BCR,Photoeyes,encodersetc.

?Relyonelectricalinputsandoutputstofigureoutwherethingsare

SensingTechnology

?Morepowerfulprocessors&algorithmsareallowingformorecomplicatedoperations

SensingTechnologyApplication

?AutonomousMobileRobots

?MoreflexibilitythantraditionalAGV

?Laserrangefinderforlocalizationandobstacle

avoidance

MotionSensingDevices

?Offtheshelfgamingdeviceisbecomingastandardforlowcost,highflexibilityvisionbasedroboticcontrol

?Applicationsusingthissensinghavenotmovedintotheindustrialspaceastheyhavenotproventoberobustenoughfortheenvironment

?……….butit’sclose

?Opensourceapplicationdevelopmentakey

?Willindustryembraceit?

?Willendusersdevelopit?

SensingTechnologyApplication

?Hobbyrobot

?Lowcostopen-sourcerobot

?$2,000

SensingTechnologyApplication

?Gamingsensorbeingindustrializedatafastpace

SensingTechnologyApplication

SensingTechnologyApplication

TrailerUnloading

SensingTechnologyApplication

Trailerloading

SensingTechnologyApplication

?Combines2D&3Dimageprocessing

?Nopre-programmingofSKUsnecessary

RobotsworkingalongsideHumans

?Leverageadvantageofeachother

-Complimentarytasks

-Repetitivetasks(robots)

-Dexterity/variety(humans)

?Advancesinsafetysystems

-Vision,sonar,lasers

-Torquesensingmotors

Cage-freerobot

。

?360sonar&camera

?Slowsspeedwhenhumanscloseby

?Torquesensingmotors

?Compliantjoints

?Nosharpedges

?Visioncameras

RobotWorkingAlongsideHumans

BigData

?Bigdataisapopulartermusedtodescribetheexponentialgrowthandavailabilityof

data,bothstructuredandunstructured

-Transactiondata,sensors,machine-machine

-Unstructuredtextdocuments,email,video,audio,stocktickerdataandfinancialtransactions

IndustryTrends/Forces

?Bigdatamaybeasimportanttobusiness-andsociety

-astheInternethasbecome

?Why?Moredatamayleadtomoreaccurateanalyses

?Moreaccurateanalysesmayleadtomoreconfidentdecisionmaking.

?Betterdecisionscanmeangreateroperationalefficiencies,costreductionsandreducedrisk.

IndustryTrends/Forces

HowcanBigDatainfluenceRoboticsintheWarehouse?

?Analyticscanoptimizeasystemsolutionlikeneverbefore

?BigData,Analytics&Algorithmswillgiveroboticsthesmartsitneedstobeviable

FinnishDairyExample

FinnishDairyempoweringtheroboticpickingsystemtoplanproduction

-Keeprecordofhistoricalorders(volume,SKUs,seasonal)

-Lookaheadtoactualorders(upto48hrs)

-Useanalyticstofindtheoptimalmixof

?Satisfycustomerorderswithoutfail

?Inventory