synchronous vs. asynchronous video in multi-robot search
DESCRIPTION
Synchronous vs. Asynchronous Video in Multi-Robot Search. Prasanna Velagapudi, Jijun Wang, Huadong Wang, Paul Scerri, Michael Lewis, Katia Sycara University of Pittsburgh Carnegie Mellon University. Urban Search and Rescue (USAR). Location and rescue of people in a structural collapse - PowerPoint PPT PresentationTRANSCRIPT
Synchronous vs. Synchronous vs. Asynchronous Video in Asynchronous Video in
Multi-Robot SearchMulti-Robot SearchPrasanna Velagapudi, Jijun Wang, Huadong Prasanna Velagapudi, Jijun Wang, Huadong
Wang,Wang,Paul Scerri, Michael Lewis, Katia SycaraPaul Scerri, Michael Lewis, Katia Sycara
University of PittsburghCarnegie Mellon University
Urban Search and Rescue Urban Search and Rescue (USAR)(USAR)
► Location and rescue Location and rescue of people in a of people in a structural collapse structural collapse
► Urban disastersUrban disasters LandslidesLandslides EarthquakesEarthquakes TerrorismTerrorism
Credit: NIST
USAR RobotsUSAR Robots
► Robots can helpRobots can help Unstable voidsUnstable voids Mapping/clearingMapping/clearing
► Want them to be: Want them to be: SmallSmall CheapCheap PlentifulPlentiful
Credit: NIST
Urban Search and Rescue Urban Search and Rescue (USAR)(USAR)
►Now: One operator Now: One operator one robot one robot Directly teleoperatedDirectly teleoperated Victim detection through synchronous videoVictim detection through synchronous video
►Future: One operator Future: One operator many robots many robots Manufacturing robots is easyManufacturing robots is easy Training operators is hardTraining operators is hard
►Need to scale navigation and Need to scale navigation and searchsearch
Synchronous VideoSynchronous Video
►Most common form of camera Most common form of camera teleoperationteleoperation High bandwidthHigh bandwidth Low latencyLow latency
►ApplicationsApplications SurveillanceSurveillance Bomb disposalBomb disposal InspectionInspection
iRobot PackBot
Asynchronous ImageryAsynchronous Imagery
► Inspired by planetary robotic solutionsInspired by planetary robotic solutions Limited bandwidthLimited bandwidth High latencyHigh latency
► Multiple photographs from single locationMultiple photographs from single location Maximizes coverageMaximizes coverage Can be mapped to virtual pan-tilt-zoom camera Can be mapped to virtual pan-tilt-zoom camera
HypothesisHypothesis
►Asynchronicity may improve performanceAsynchronicity may improve performance Helps guarantee coverageHelps guarantee coverage Can review images multiple timesCan review images multiple times
►Asynchronicity may reduce mental Asynchronicity may reduce mental workloadworkload Only navigation must be done in real-timeOnly navigation must be done in real-time Search becomes self-pacedSearch becomes self-paced
USARSimUSARSim
[http://www.sourceforge.net/projects/usarsim]
► Based on Based on UnrealEngine2UnrealEngine2
► High-fidelity physicsHigh-fidelity physics► ““Realistic” Realistic”
renderingrendering CameraCamera Laser scanner Laser scanner
(LIDAR)(LIDAR)
MrCSMrCSMMulti-ulti-rrobot obot CControl ontrol SSystemystem
Waypoint Waypoint NavigationNavigation
TeleoperationTeleoperation
Video/ Video/ Image Image ViewerViewer
Status Status WindowWindow
Map Map OverviewOverview
Experimental ConditionsExperimental Conditions
► Objective:Objective: Find victims Find victims Mark victims on map Mark victims on map
► Control 4 robotsControl 4 robots Waypoint control (primary)Waypoint control (primary) Direct teleoperationDirect teleoperation
► Explore the mapExplore the map Map generated online w/ Occupancy Grid SLAMMap generated online w/ Occupancy Grid SLAM Simulated laser scannersSimulated laser scanners
Experimental ConditionsExperimental Conditions
► Streaming ModeStreaming Mode ► Panorama ModePanorama Mode
Panoramas stored for later viewingPanoramas stored for later viewingStreaming live videoStreaming live video
SubjectsSubjects
►21 paid participants21 paid participants 9 male, 12 female9 male, 12 female No prior experience with robot controlNo prior experience with robot control Frequent computer users: 71%Frequent computer users: 71% Played computers games > 1hr/week: Played computers games > 1hr/week:
28%28%
MethodMethod
►Written instructionsWritten instructions►15-20 min. training session15-20 min. training session
Both streaming and panoramas enabledBoth streaming and panoramas enabled Encouraged to find and mark a victimEncouraged to find and mark a victim
►20 min. testing session20 min. testing session►20 min. testing session20 min. testing session
MetricsMetrics
►Switching timesSwitching times►Number of victimsNumber of victims
Thresholded accuracyThresholded accuracy
Victims FoundVictims Found
Average Average # of # of
victims victims foundfound
Accuracy ThresholdAccuracy Threshold
11
22
33
44
55
66
Within Within 0.75m0.75m
Within 1mWithin 1m Within 1.5mWithin 1.5m Within 2mWithin 2m00
PanoramaStreaming
11
22
33
44
55
66
77
First SessionFirst Session Second SessionSecond Session
Panorama First
Streaming First
< 1.5m< 2m
< 1.5m< 2m
00
Trial Order InteractionTrial Order Interaction
AveragAverage # of e # of victimvictim
s s foundfound
Switching TimeSwitching Time (Streaming Mode) (Streaming Mode)
AveragAverage # of e # of reportreport
ed ed victimvictim
ss
1122
2020
Number of SwitchesNumber of Switches
1100
88
66
44
22
4040 6060 8080 100100 12012000
00
Switching TimeSwitching Time (Panorama Mode) (Panorama Mode)
AveragAverage # of e # of reportreport
ed ed victimvictim
ss
1122
2020
Number of SwitchesNumber of Switches
1100
88
66
44
22
4040 6060 8080 100100 12012000
00
ConclusionsConclusions
►Streaming is better than panoramicStreaming is better than panoramic Perhaps not by as much as expectedPerhaps not by as much as expected Conditions favorable to streaming videoConditions favorable to streaming video
►Similar asynchronous performance is Similar asynchronous performance is goodgood May avoid forced pace switchingMay avoid forced pace switching May scale with team sizeMay scale with team size
# of robots
Ope
rato
r sw
itch
time
Operator-induced latencyOperator-induced latency
Switch Time >>
Comm. Latency
Victims FoundVictims Found
►Repeated Measures ANOVARepeated Measures ANOVA 1.5m radius1.5m radius
►F(1,19) = 8.038F(1,19) = 8.038►p = 0.01p = 0.01
2.0m radius2.0m radius►F(1,19) = 9.54F(1,19) = 9.54►p = 0.006p = 0.006
Trial Order InteractionTrial Order Interaction
►Repeated Measures ANOVARepeated Measures ANOVA 1.5m radius1.5m radius
►F(1,19) = 7.34F(1,19) = 7.34►p = 0.014p = 0.014
2.0m radius2.0m radius►F(1,19) = 8.77F(1,19) = 8.77►p = 0.008p = 0.008