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AUPAIR:
The Personal Home Service Robot that
Won the RoboCup@Home League
Beom-Jin Lee, Jinyoung Choi, Chung-Yeon Lee, Kyung-Wha Par
k, Sungjun Choi, Cheolho Han, Dong-Sig Han,
Christina Baek, Patrick Emaase and Byoung-Tak Zhang
Seoul National University, Seoul, Korea
Biointelligence Lab
Team Leader: Beom-Jin Lee
RoboCup
RoboCup
• Largest International Robot Competition!
Latest RoboCup
• 20th Annual Competition
• Total 5 Leagues
• RoboCupSoccer
• RoboCupIndustrial
• RoboCupRescue
• RoboCup@Home
• RoboCupJunior
• Total 17 Sub-leagues
• More than 3,500 dedicated scientists
• Developers from more than 40 countries
Latest RoboCup
• RoboCupSoccer
Middle Size LeagueSmall Size League
Latest RoboCup
• RoboCupSoccer
KidSize 40-90cm Four-robot team
TeenSize 80-140cm Three-robot team
AdultSize 130-180cm One-robot team
Latest RoboCup
• RoboCupSoccer
Simulation LeagueStandard Platform League
Latest RoboCup
• RoboCup@Home
Open Platform League Social Standard Platform League Domestic Standard Platform League
Latest RoboCup
• RoboCupIndustrial
RoboCup@WorkLogistics League
Latest RoboCup
• RoboCupRescue
Rescue Simulation LeagueRescue Robot League
RoboCup@Home
RoboCup@Home
• Second largest league in RoboCup
• Initiated the RoboCup@Home competitions in 2005
• Develop service and assistive robot technology for
autonomous service robots
Adaptive
Smart HRI
Wisspeintner, Thomas, et al. "RoboCup@
Home: Scientific competition and
benchmarking for domestic service
robots." Interaction Studies 10.3 (2009):
392-426.
RoboCup@Home
• RoboCup@Home Social Standard Platform League (SSPL)
RoboCup@Home SSPL Challenges
6 Scenarios + 2 Open Demonstration = 8 Challenges
1. Speech Recognition and Person Recognition
2. Cocktail Party
3. Help Me Carry
4. General Purpose Service Robot (GPSR)
5. Restaurant
6. Tour Guide
7. Enhanced Endurance General Purpose Service Robot (E2GPSR)
8. Open Challenge
9. Final Demonstration
RoboCup@Home SSPL Scenarios
Speech Recognition and Person Recognition
1. Play riddle game
2. Play bluff man game
Focus technique
Person, object, speech, activity
recognition
Q&A
Sound localization
12
people
RoboCup@Home SSPL Scenarios
Cocktail Party
1. Enter the party room
2. Find 3 standing or sitting guest
3. Go to barman and give order
4. Find missing beverage
5. Correct order
Focus technique
Person, object, speech, activity
recognition
Person description
1
2
3
4
5
RoboCup@Home SSPL Scenarios
Help Me Carry
1. Memorize operator and
follow
2. Save car waypoint and find
other person to help him
carry grocery
3. Guide person to car waypoint
Focus technique
Following, online mapping,
guiding
1
2
3
RoboCup@Home SSPL Scenarios
General Purpose Service Robot (GPSR)
1. Generate random command
from command generator
2. Solve the task and come back
to starting point
3. Repeat 3 times
Focus technique
Overall skill
RoboCup@Home SSPL Scenarios
Restaurant
1. No map
2. Check barman
3. Get order from a person
4. Go to barman and give order
5. Repeat 3-4
Focus technique
Online mapping
RoboCup@Home SSPL Scenarios
Tour Guide
1. Go out side
2. Find tourist who needs tour
3. Guide person to bench and
give introduction about
RoboCup
Focus technique
Online mapping
Q&A
1
2
3
RoboCup@Home SSPL Scenarios
Enhanced Endurance General Purpose Service Robot (E2GPSR)
Test special skills
1. Three in one (solve three
command within 5 minute)
2. Q&A with GPSR
Focus technique
Navigation
Q&A
Recognition skills
RoboCup@Home SSPL Total Solutions
• Person Recognition, Detection, Description, Identification
• Finding, Gender, Characteristics
• Activity Recognition
• Object Detection, Recognition, Distinction
• Navigation, Following, Guiding, SLAM, Collision Avoidance,
Approach
• Sound Localization
• Speech Recognition
• Q&A
Vision
Speech
Sensor
Environment
Learning
Online
Waypoint
Object
and
Person
Characteristic
Human
Re-
identification
Object
and
Person
Position
Action
Approach Guide
Reflex Following
Collision
Avoidance
Navigation
Perception
Object
Distinction
Speech
Recognition
Object
Detection
and
Recognition
Human Pose
Estimation
Obstacle
Recognition
Command
Parser
Recognition
Filter
Activity
Recognition
Scene
Description
Sound
Localization
RoboCup@Home SSPL
Implemented Modules (Perception)
Human Pose Estimation3Object Detection and Recognition2
[2] Redmon, et al., "YOLO9000: better, faster, stronger." arXiv preprint arXiv:1612.08242 (2016).
[3] Cao, et al. "Realtime multi-person 2d pose estimation using part affinity fields." arXiv preprint arXiv:1611.08050 (2016).
RoboCup@Home SSPL
Implemented Modules (Perception)
Human Re-identification4 Scene Description5
[4] Ahmed, et al., "An improved deep learning architecture for person re-identification." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
[5] Johnson, et al., "Densecap: Fully convolutional localization networks for dense captioning." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
RoboCup@Home SSPL
Implemented Modules (Perception)
Object Distinguishing Activity recognition
Object Detection and Recognition Person Re-identification Person Re-identification
RGB based Skeleton Scene Description
RoboCup@Home SSPL
Implemented Modules (Action)
Human Follower
RoboCup@Home SSPL
Implemented Modules (Action)
Reflex module
• Navigation
• Obstacle
Avoidance
RoboCup@Home SSPL
Implemented Modules (Action)
Approach
RoboCup@Home SSPL
Implemented Modules (Action)
Guide
Reflex Approach
Follow Follow Processing Screen
RoboCup@Home
Competitions
RoboCup@Home SSPL
Speech Recognition and Person Recognition
RoboCup@Home SSPL
Help Me Carry
RoboCup@Home SSPL
Cocktail Party
RoboCup@Home SSPL
General Purpose Service Robot (GPSR)
RoboCup@Home SSPL
Enhanced Endurance General Purpose Service Robot
(E2GPSR)
RoboCup@Home SSPL
Restaurant
RoboCup@Home SSPL
Tour guide
RoboCup@Home SSPL
Open Challenge
RoboCup@Home SSPL
Final Demonstration
RoboCup@Home
Scores
RoboCup@Home SSPL Day 1
RoboCup@Home SSPL Day 2
RoboCup@Home SSPL Day 3
RoboCup@Home SSPL Final!!!
1st Place!!!!!
Special Thanks
Kyung-Min Kim Jin-Hwa Kim
Kim, Kyung-Min, et al.
"DeepStory: Video Story
QA by Deep Embedded
Memory Networks." arXiv
preprint arXiv:1707.00836
(2017).)
Kim, Jin-Hwa, et al.
"Multimodal residual
learning for visual
qa." Advances in Neural
Information Processing
Systems. 2016.
RoboCup@Home SSPL
Dedicated Team Member
Thank You for Listening
Sponsorships
END
AUPAIR: The Personal Home Service Robot that Won the RoboCup@Home League
AUPAIR: The Personal Home Service Robot that Won the RoboCup@Home League
AUPAIR: The Personal Home Service Robot that Won the RoboCup@Home League
AUPAIR: The Personal Home Service Robot that Won the RoboCup@Home League
AUPAIR: The Personal Home Service Robot that Won the RoboCup@Home League
AUPAIR: The Personal Home Service Robot that Won the RoboCup@Home League

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