SlideShare une entreprise Scribd logo
1  sur  16
Presentation Agenda
 ASIMO
 How long did it take to develop ?
 Specifications
 StructureOf ASIMO
 How ASIMO walk ?
 RecognitionTechnology in ASIMO
 Pros and Cons
ASIMO
 ASIMO is humanoid robot developed
by Honda in 2000.
 It is the 4th man like humanoid robot.
 ASIMO was created to be a helper to
people. ASIMO’s height of four feet
make it the perfect size for helping
around the house , or to assist a person
confined to a bed or a wheelchair.
 ASIMO’s size allow it to look directly at
an adult sitting in a chair or sitting up
in bed.
HowlongdidittaketodevelopASIMO??
 Honda’s development of the humanoid begun fin
1986.
 The world first self regulating, bipedal (two-
legged) humanoid robot named P2 , was
completed by Honda in December 1996.
 After P2, P3 the first completely independent
bipedal humanoid walking robot arrived in
September 1997.
 ASIMO was completedOctober 31 , 2000 and
remains the most advanced humanoid robot ever
created.
Specifications
Weight: 52 kilograms
Running Speed: 6 km/h
Walking speed: 2.7 km/h
Walking speed while carrying objects: 1.6 km/h
Height: 130 cm
Width: 45 cm
Depth: 44 cm
Continuous operating time: 40 min – 1 hr.
StructureOfASIMO
 Power:
ASIMO is powered by 40V nickel metal hydrate battery.
ASIMO can operate for approximately 30 minutes on a
single battery.
Four hour are required to completely rechargeASIMO’s
battery. ASIMO can automatically find its charging
station and connect his battery to that machine for
recharge purposes.
 Camera:
ASIMO is equipped with two cameras in its head.
Cont……
Camera (Remaining):
These camera “eyes” allow ASIMO and its operator to view
the surrounding environment.
These camera allow ASIMO to independently recognize
unique faces that have been stored in its memory and to
accurately judge distance from objects.
ASIMO has also a camera on its torso used to view markers
on the floor and on stairs.
Motors:
ASIMO is equipped with 26 separate servomotors.
HowASIMOwalk&balanced??
 ASIMO walk’s by “prediction movement control ” , that is
it predict the next move and shifting the center of gravity
accordingly.
 Unlike earlier version called P3 , which had to stop
temporarily between changes of directions, ASIMO
smoothly change the direction
and walk smoothly.
 ASIMO is very stable and smooth even
when it move suddenly.
Cont……
 Stored walking patterns for start/acceleration , steady
speed, deceleration , stopping and turning are combined
to achieve smooth walking.
 ASIMO turns smoothly without pausing.
 Walking patterns are generated in real
time , and foot placement locations and
turning are carried out while walking
smoothly in any direction.
 ASIMO can walk on the stairs easily , it
can navigate to different direction easily.
 Moreover it can easily balance on a single
pedal.
RecognitionTechnology
With 2000's ASIMO model Honda
added many features, labeled
"Intelligence Technology", that
enable ASIMO to interact better with
humans. These features fall under 5
categories:
1. Recognition of moving objects
2. Posture/gesture recognition
3. Environment recognition
4. Sound recognition
5. Face recognition.
Recognitionofmovingobjects
 ASIMO can detect movement of multiple
objects, assessing distance and direction
using the visual info. captured by the camera.
 Featured served by this application are
 Follow the movements of people
 Follow a person
 Yield to pedestrians in its path.
 Greet a person when he or she approaches.
Recognitionofposturesandgestures
 Positioning and movement of a hand,
recognizing postures and gestures.
 Can react and be directed to both voice
commands and natural movements of human
being.
 Recognize when a handshake is offered.
 A person waving at it.
 Movement directions.
Environmentrecognition
 ASIMO can recognize the objects and
terrain of his environment and act in a way
that is safe for both himself and nearby
humans.
 Recognizing potential hazards such as stairs.
 Avoid hitting humans and other moving
objects.
Distinguishingsounds
 ASIMO can distinguish between voices and
other sounds.
 He can respond to his name, face people
when being spoken to, and recognize
sudden, unusual sounds such as that of a
falling object or a collision, and face in that
direction.
Facialrecognition
 ASIMO has the ability to
recognize faces, even when
ASIMO or the human being is
moving.
 It can individually recognize
approximately 10 different
faces. Once they are registered
it can address them by name.
Asimo presentation

Contenu connexe

Tendances

Humanoid robotics
Humanoid roboticsHumanoid robotics
Humanoid robotics
Gopal Verma
 
Humanoid Robotics
Humanoid RoboticsHumanoid Robotics
Humanoid Robotics
Ramya Mk
 

Tendances (20)

Human robo
Human roboHuman robo
Human robo
 
Humanoid robotics
Humanoid roboticsHumanoid robotics
Humanoid robotics
 
Humanoid robotics
Humanoid roboticsHumanoid robotics
Humanoid robotics
 
Humanoid robots
Humanoid robotsHumanoid robots
Humanoid robots
 
Humanoid robotics
Humanoid roboticsHumanoid robotics
Humanoid robotics
 
HUMANOID ROBOT PPT
HUMANOID ROBOT PPTHUMANOID ROBOT PPT
HUMANOID ROBOT PPT
 
Robotics of Future
Robotics of FutureRobotics of Future
Robotics of Future
 
Robotics in-artificial-intelligence
Robotics in-artificial-intelligenceRobotics in-artificial-intelligence
Robotics in-artificial-intelligence
 
Robotics the future of the world
Robotics the future of the worldRobotics the future of the world
Robotics the future of the world
 
ZarahMaeTirolTalavera Robotics Powerpoint Presentation
ZarahMaeTirolTalavera Robotics Powerpoint PresentationZarahMaeTirolTalavera Robotics Powerpoint Presentation
ZarahMaeTirolTalavera Robotics Powerpoint Presentation
 
humanoid robot
humanoid robothumanoid robot
humanoid robot
 
Future of Robotics
Future of RoboticsFuture of Robotics
Future of Robotics
 
Advancement technology in Robotics.pptx
Advancement technology in Robotics.pptxAdvancement technology in Robotics.pptx
Advancement technology in Robotics.pptx
 
Humanoid robot
Humanoid robotHumanoid robot
Humanoid robot
 
Robotics
Robotics Robotics
Robotics
 
Humanoid robot by Mitesh kumar
Humanoid robot by Mitesh kumar Humanoid robot by Mitesh kumar
Humanoid robot by Mitesh kumar
 
Presentation on robotics
Presentation on robotics Presentation on robotics
Presentation on robotics
 
Humanoid Robotics
Humanoid RoboticsHumanoid Robotics
Humanoid Robotics
 
Humanoid robot
Humanoid robotHumanoid robot
Humanoid robot
 
Robotics
RoboticsRobotics
Robotics
 

En vedette

Asimo brief introduction
Asimo brief introductionAsimo brief introduction
Asimo brief introduction
Dev Poudel
 
Robots presentation
Robots presentationRobots presentation
Robots presentation
aroobkazim
 

En vedette (17)

ASIMO HUMANOID ROBOT PRESENTATION
ASIMO HUMANOID ROBOT PRESENTATIONASIMO HUMANOID ROBOT PRESENTATION
ASIMO HUMANOID ROBOT PRESENTATION
 
ASIMO
ASIMOASIMO
ASIMO
 
Asimo the robot
Asimo the robotAsimo the robot
Asimo the robot
 
ASIMO
ASIMOASIMO
ASIMO
 
Humanoid robot
Humanoid robotHumanoid robot
Humanoid robot
 
Robotics project ppt
Robotics project pptRobotics project ppt
Robotics project ppt
 
Robotics.Ppt
Robotics.PptRobotics.Ppt
Robotics.Ppt
 
Artificial Intelligence(Humanoid)
Artificial Intelligence(Humanoid)Artificial Intelligence(Humanoid)
Artificial Intelligence(Humanoid)
 
Asimo brief introduction
Asimo brief introductionAsimo brief introduction
Asimo brief introduction
 
Robots presentation
Robots presentationRobots presentation
Robots presentation
 
robotics ppt
robotics ppt robotics ppt
robotics ppt
 
Slideshare ppt
Slideshare pptSlideshare ppt
Slideshare ppt
 
Robot
RobotRobot
Robot
 
The pros and cons of surgical robots
The pros and cons of surgical robotsThe pros and cons of surgical robots
The pros and cons of surgical robots
 
Artificial Consciousness
Artificial ConsciousnessArtificial Consciousness
Artificial Consciousness
 
Asimo
AsimoAsimo
Asimo
 
Study and simulation of gait cycle of a planar five link kanwar et al. 2015
Study and simulation of gait cycle of a planar five link kanwar et al. 2015Study and simulation of gait cycle of a planar five link kanwar et al. 2015
Study and simulation of gait cycle of a planar five link kanwar et al. 2015
 

Similaire à Asimo presentation (17)

Asimopresentation
AsimopresentationAsimopresentation
Asimopresentation
 
humaniod robots BY SMJppt
humaniod robots BY SMJppthumaniod robots BY SMJppt
humaniod robots BY SMJppt
 
ASIMO Robot
ASIMO RobotASIMO Robot
ASIMO Robot
 
Asimo1
Asimo1Asimo1
Asimo1
 
Asimo waree ardkamon
Asimo waree ardkamonAsimo waree ardkamon
Asimo waree ardkamon
 
Japanese robot honda asimo
Japanese robot honda asimoJapanese robot honda asimo
Japanese robot honda asimo
 
Asimo
AsimoAsimo
Asimo
 
robot (1).pptx
robot (1).pptxrobot (1).pptx
robot (1).pptx
 
Artifical Intelligence
Artifical IntelligenceArtifical Intelligence
Artifical Intelligence
 
research.pptx
research.pptxresearch.pptx
research.pptx
 
Asimo
AsimoAsimo
Asimo
 
00941
0094100941
00941
 
Presentation.pdf
Presentation.pdfPresentation.pdf
Presentation.pdf
 
Global.pptx
Global.pptxGlobal.pptx
Global.pptx
 
Intelligence of Humanoid robots
Intelligence of Humanoid robotsIntelligence of Humanoid robots
Intelligence of Humanoid robots
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Humanoid Robotics
Humanoid RoboticsHumanoid Robotics
Humanoid Robotics
 

Dernier

IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 

Dernier (20)

Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 

Asimo presentation

  • 1.
  • 2. Presentation Agenda  ASIMO  How long did it take to develop ?  Specifications  StructureOf ASIMO  How ASIMO walk ?  RecognitionTechnology in ASIMO  Pros and Cons
  • 3. ASIMO  ASIMO is humanoid robot developed by Honda in 2000.  It is the 4th man like humanoid robot.  ASIMO was created to be a helper to people. ASIMO’s height of four feet make it the perfect size for helping around the house , or to assist a person confined to a bed or a wheelchair.  ASIMO’s size allow it to look directly at an adult sitting in a chair or sitting up in bed.
  • 4. HowlongdidittaketodevelopASIMO??  Honda’s development of the humanoid begun fin 1986.  The world first self regulating, bipedal (two- legged) humanoid robot named P2 , was completed by Honda in December 1996.  After P2, P3 the first completely independent bipedal humanoid walking robot arrived in September 1997.  ASIMO was completedOctober 31 , 2000 and remains the most advanced humanoid robot ever created.
  • 5. Specifications Weight: 52 kilograms Running Speed: 6 km/h Walking speed: 2.7 km/h Walking speed while carrying objects: 1.6 km/h Height: 130 cm Width: 45 cm Depth: 44 cm Continuous operating time: 40 min – 1 hr.
  • 6. StructureOfASIMO  Power: ASIMO is powered by 40V nickel metal hydrate battery. ASIMO can operate for approximately 30 minutes on a single battery. Four hour are required to completely rechargeASIMO’s battery. ASIMO can automatically find its charging station and connect his battery to that machine for recharge purposes.  Camera: ASIMO is equipped with two cameras in its head.
  • 7. Cont…… Camera (Remaining): These camera “eyes” allow ASIMO and its operator to view the surrounding environment. These camera allow ASIMO to independently recognize unique faces that have been stored in its memory and to accurately judge distance from objects. ASIMO has also a camera on its torso used to view markers on the floor and on stairs. Motors: ASIMO is equipped with 26 separate servomotors.
  • 8. HowASIMOwalk&balanced??  ASIMO walk’s by “prediction movement control ” , that is it predict the next move and shifting the center of gravity accordingly.  Unlike earlier version called P3 , which had to stop temporarily between changes of directions, ASIMO smoothly change the direction and walk smoothly.  ASIMO is very stable and smooth even when it move suddenly.
  • 9. Cont……  Stored walking patterns for start/acceleration , steady speed, deceleration , stopping and turning are combined to achieve smooth walking.  ASIMO turns smoothly without pausing.  Walking patterns are generated in real time , and foot placement locations and turning are carried out while walking smoothly in any direction.  ASIMO can walk on the stairs easily , it can navigate to different direction easily.  Moreover it can easily balance on a single pedal.
  • 10. RecognitionTechnology With 2000's ASIMO model Honda added many features, labeled "Intelligence Technology", that enable ASIMO to interact better with humans. These features fall under 5 categories: 1. Recognition of moving objects 2. Posture/gesture recognition 3. Environment recognition 4. Sound recognition 5. Face recognition.
  • 11. Recognitionofmovingobjects  ASIMO can detect movement of multiple objects, assessing distance and direction using the visual info. captured by the camera.  Featured served by this application are  Follow the movements of people  Follow a person  Yield to pedestrians in its path.  Greet a person when he or she approaches.
  • 12. Recognitionofposturesandgestures  Positioning and movement of a hand, recognizing postures and gestures.  Can react and be directed to both voice commands and natural movements of human being.  Recognize when a handshake is offered.  A person waving at it.  Movement directions.
  • 13. Environmentrecognition  ASIMO can recognize the objects and terrain of his environment and act in a way that is safe for both himself and nearby humans.  Recognizing potential hazards such as stairs.  Avoid hitting humans and other moving objects.
  • 14. Distinguishingsounds  ASIMO can distinguish between voices and other sounds.  He can respond to his name, face people when being spoken to, and recognize sudden, unusual sounds such as that of a falling object or a collision, and face in that direction.
  • 15. Facialrecognition  ASIMO has the ability to recognize faces, even when ASIMO or the human being is moving.  It can individually recognize approximately 10 different faces. Once they are registered it can address them by name.