SlideShare ist ein Scribd-Unternehmen logo
1 von 20
Introduction to RTC Robotic Technology Component Specification Robotics DTF June 28 2006 Boston, MA, United States Dr. Noriaki Ando [email_address] National Institute of Advanced Science & Technology (AIST) Rick Warren [email_address] Real-Time Innovations (RTI)
Timeline Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Timeline of this Meeting ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is RTC? ,[object Object],[object Object],[object Object]
Benefits of RTC ,[object Object],LwRTC Execution Semantics Introspection ,[object Object],[object Object],[object Object]
Benefits of RTC ,[object Object],Data flow / periodic, synchronous processing STATE A STATE B Stimulus-response / discrete-event processing Modes of operation
Benefits of RTC ,[object Object],Component A Component B ,[object Object],[object Object]
Summary: Features of RTC ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Relation to Existing Standards ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Path Planning ,[object Object],[object Object],[object Object],Data Find Call Localization Path Planning Trajectory Generation
Component Lifecycle (2.2.2.3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Life Cycle Callbacks (2.2.2.5) ,[object Object],[object Object],Called when component… Callback is in error steady state on_error encounters error on_aborting switched off (any # times) on_deactivate switched on (any # times) on_activate destroyed (only once) on_finalize initialized (once) on_initialize
Execution Context (2.2.2.6) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Execution Kinds ,[object Object],[object Object],[object Object],[object Object],[object Object]
Periodic Execution (2.3.1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Order of Operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Stimulus Response (2.3.2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dynamic Connection (2.4) ,[object Object],[object Object],[object Object]
Getting Involved ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Coming Up Next ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Weitere ähnliche Inhalte

Was ist angesagt?

Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...
Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...
Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...Silicon Mentor
 
Compensator Design for Speed Control of DC Motor by Root Locus Approach using...
Compensator Design for Speed Control of DC Motor by Root Locus Approach using...Compensator Design for Speed Control of DC Motor by Root Locus Approach using...
Compensator Design for Speed Control of DC Motor by Root Locus Approach using...IRJET Journal
 
Remote method invocation
Remote  method invocationRemote  method invocation
Remote method invocationDEEPIKA T
 
Parallel algorithms
Parallel algorithmsParallel algorithms
Parallel algorithmsDanish Javed
 
System Programing Unit 1
System Programing Unit 1System Programing Unit 1
System Programing Unit 1Manoj Patil
 
Instruction level parallelism
Instruction level parallelismInstruction level parallelism
Instruction level parallelismdeviyasharwin
 
PRAM algorithms from deepika
PRAM algorithms from deepikaPRAM algorithms from deepika
PRAM algorithms from deepikaguest1f4fb3
 
Loaders ( system programming )
Loaders ( system programming ) Loaders ( system programming )
Loaders ( system programming ) Adarsh Patel
 

Was ist angesagt? (20)

Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...
Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...
Design and Implementation of Single Precision Pipelined Floating Point Co-Pro...
 
Loaders
LoadersLoaders
Loaders
 
Dependencies
DependenciesDependencies
Dependencies
 
Compensator Design for Speed Control of DC Motor by Root Locus Approach using...
Compensator Design for Speed Control of DC Motor by Root Locus Approach using...Compensator Design for Speed Control of DC Motor by Root Locus Approach using...
Compensator Design for Speed Control of DC Motor by Root Locus Approach using...
 
Remote method invocation
Remote  method invocationRemote  method invocation
Remote method invocation
 
Parallel algorithms
Parallel algorithmsParallel algorithms
Parallel algorithms
 
use case point estimation
use case point estimationuse case point estimation
use case point estimation
 
Remote core locking (rcl)
Remote core locking (rcl)Remote core locking (rcl)
Remote core locking (rcl)
 
C- language Lecture 6
C- language Lecture 6C- language Lecture 6
C- language Lecture 6
 
System Programing Unit 1
System Programing Unit 1System Programing Unit 1
System Programing Unit 1
 
Direct linking loaders
Direct linking loadersDirect linking loaders
Direct linking loaders
 
Ch 4 linker loader
Ch 4 linker loaderCh 4 linker loader
Ch 4 linker loader
 
loaders and linkers
 loaders and linkers loaders and linkers
loaders and linkers
 
Instruction level parallelism
Instruction level parallelismInstruction level parallelism
Instruction level parallelism
 
C- language Lecture 4
C- language Lecture 4C- language Lecture 4
C- language Lecture 4
 
Real time-embedded-system-lec-06
Real time-embedded-system-lec-06Real time-embedded-system-lec-06
Real time-embedded-system-lec-06
 
Loaders
LoadersLoaders
Loaders
 
PRAM algorithms from deepika
PRAM algorithms from deepikaPRAM algorithms from deepika
PRAM algorithms from deepika
 
Real time-embedded-system-lec-03
Real time-embedded-system-lec-03Real time-embedded-system-lec-03
Real time-embedded-system-lec-03
 
Loaders ( system programming )
Loaders ( system programming ) Loaders ( system programming )
Loaders ( system programming )
 

Andere mochten auch

Robotic presentation
Robotic presentationRobotic presentation
Robotic presentationZainab Fatima
 
Robots presentation
Robots presentationRobots presentation
Robots presentationaroobkazim
 
Introduction to Arduino
Introduction to ArduinoIntroduction to Arduino
Introduction to ArduinoRichard Rixham
 
Intro to Arduino
Intro to ArduinoIntro to Arduino
Intro to Arduinoavikdhupar
 
Robot PowerPoint
Robot PowerPointRobot PowerPoint
Robot PowerPointbradschultz
 
Arduino Lecture 1 - Introducing the Arduino
Arduino Lecture 1 - Introducing the ArduinoArduino Lecture 1 - Introducing the Arduino
Arduino Lecture 1 - Introducing the ArduinoEoin Brazil
 
Introduction to arduino
Introduction to arduinoIntroduction to arduino
Introduction to arduinoAhmed Sakr
 
Introduction to Arduino Programming
Introduction to Arduino ProgrammingIntroduction to Arduino Programming
Introduction to Arduino ProgrammingJames Lewis
 

Andere mochten auch (9)

Robotic presentation
Robotic presentationRobotic presentation
Robotic presentation
 
Presentation on robotics
Presentation on robotics Presentation on robotics
Presentation on robotics
 
Robots presentation
Robots presentationRobots presentation
Robots presentation
 
Introduction to Arduino
Introduction to ArduinoIntroduction to Arduino
Introduction to Arduino
 
Intro to Arduino
Intro to ArduinoIntro to Arduino
Intro to Arduino
 
Robot PowerPoint
Robot PowerPointRobot PowerPoint
Robot PowerPoint
 
Arduino Lecture 1 - Introducing the Arduino
Arduino Lecture 1 - Introducing the ArduinoArduino Lecture 1 - Introducing the Arduino
Arduino Lecture 1 - Introducing the Arduino
 
Introduction to arduino
Introduction to arduinoIntroduction to arduino
Introduction to arduino
 
Introduction to Arduino Programming
Introduction to Arduino ProgrammingIntroduction to Arduino Programming
Introduction to Arduino Programming
 

Ähnlich wie Introduction to Robotic Technology Components (RTC), Robotics DTF

Introduction to Robotic Technology Components (RTC), MARS PTF
Introduction to Robotic Technology Components (RTC), MARS PTFIntroduction to Robotic Technology Components (RTC), MARS PTF
Introduction to Robotic Technology Components (RTC), MARS PTFRick Warren
 
Components in real time systems
Components in real time systemsComponents in real time systems
Components in real time systemsSaransh Garg
 
IEEE ICIN 2011
IEEE ICIN 2011IEEE ICIN 2011
IEEE ICIN 2011steccami
 
iiwas 2010
iiwas 2010iiwas 2010
iiwas 2010steccami
 
Mobicents JSLEE progress and roadmap - Mobicents Summit 2011
Mobicents JSLEE progress and roadmap - Mobicents Summit 2011Mobicents JSLEE progress and roadmap - Mobicents Summit 2011
Mobicents JSLEE progress and roadmap - Mobicents Summit 2011telestax
 
Stateful patterns in Azure Functions
Stateful patterns in Azure FunctionsStateful patterns in Azure Functions
Stateful patterns in Azure FunctionsMassimo Bonanni
 
Best Practices for JSF, Gameduell 2013
Best Practices for JSF, Gameduell 2013Best Practices for JSF, Gameduell 2013
Best Practices for JSF, Gameduell 2013Edward Burns
 
Oop2011 actor presentation_stal
Oop2011 actor presentation_stalOop2011 actor presentation_stal
Oop2011 actor presentation_stalMichael Stal
 
Software architecture unit 4
Software architecture unit 4Software architecture unit 4
Software architecture unit 4yawani05
 
OORPT Dynamic Analysis
OORPT Dynamic AnalysisOORPT Dynamic Analysis
OORPT Dynamic Analysislienhard
 
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...ijesajournal
 
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...ijesajournal
 

Ähnlich wie Introduction to Robotic Technology Components (RTC), Robotics DTF (20)

Introduction to Robotic Technology Components (RTC), MARS PTF
Introduction to Robotic Technology Components (RTC), MARS PTFIntroduction to Robotic Technology Components (RTC), MARS PTF
Introduction to Robotic Technology Components (RTC), MARS PTF
 
Icin 2009
Icin 2009Icin 2009
Icin 2009
 
iiwas2009
iiwas2009iiwas2009
iiwas2009
 
Components in real time systems
Components in real time systemsComponents in real time systems
Components in real time systems
 
Reactors.io
Reactors.ioReactors.io
Reactors.io
 
IEEE ICIN 2011
IEEE ICIN 2011IEEE ICIN 2011
IEEE ICIN 2011
 
iiwas 2010
iiwas 2010iiwas 2010
iiwas 2010
 
IRJET-V3I7169
IRJET-V3I7169IRJET-V3I7169
IRJET-V3I7169
 
rtos.ppt
rtos.pptrtos.ppt
rtos.ppt
 
Mobicents JSLEE progress and roadmap - Mobicents Summit 2011
Mobicents JSLEE progress and roadmap - Mobicents Summit 2011Mobicents JSLEE progress and roadmap - Mobicents Summit 2011
Mobicents JSLEE progress and roadmap - Mobicents Summit 2011
 
Stateful patterns in Azure Functions
Stateful patterns in Azure FunctionsStateful patterns in Azure Functions
Stateful patterns in Azure Functions
 
Best Practices for JSF, Gameduell 2013
Best Practices for JSF, Gameduell 2013Best Practices for JSF, Gameduell 2013
Best Practices for JSF, Gameduell 2013
 
Oop2011 actor presentation_stal
Oop2011 actor presentation_stalOop2011 actor presentation_stal
Oop2011 actor presentation_stal
 
Software architecture unit 4
Software architecture unit 4Software architecture unit 4
Software architecture unit 4
 
OORPT Dynamic Analysis
OORPT Dynamic AnalysisOORPT Dynamic Analysis
OORPT Dynamic Analysis
 
Osek turbo
Osek turboOsek turbo
Osek turbo
 
Webx 2010
Webx 2010Webx 2010
Webx 2010
 
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
 
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...
 
PID2143641
PID2143641PID2143641
PID2143641
 

Mehr von Rick Warren

Building Scalable Stateless Applications with RxJava
Building Scalable Stateless Applications with RxJavaBuilding Scalable Stateless Applications with RxJava
Building Scalable Stateless Applications with RxJavaRick Warren
 
Letters from the Trenches: Lessons Learned Taking MongoDB to Production
Letters from the Trenches: Lessons Learned Taking MongoDB to ProductionLetters from the Trenches: Lessons Learned Taking MongoDB to Production
Letters from the Trenches: Lessons Learned Taking MongoDB to ProductionRick Warren
 
Patterns of Data Distribution
Patterns of Data DistributionPatterns of Data Distribution
Patterns of Data DistributionRick Warren
 
Data-centric Invocable Services
Data-centric Invocable ServicesData-centric Invocable Services
Data-centric Invocable ServicesRick Warren
 
Engineering Interoperable and Reliable Systems
Engineering Interoperable and Reliable SystemsEngineering Interoperable and Reliable Systems
Engineering Interoperable and Reliable SystemsRick Warren
 
Scaling DDS to Millions of Computers and Devices
Scaling DDS to Millions of Computers and DevicesScaling DDS to Millions of Computers and Devices
Scaling DDS to Millions of Computers and DevicesRick Warren
 
DDS in a Nutshell
DDS in a NutshellDDS in a Nutshell
DDS in a NutshellRick Warren
 
Java 5 Language PSM for DDS: Final Submission
Java 5 Language PSM for DDS: Final SubmissionJava 5 Language PSM for DDS: Final Submission
Java 5 Language PSM for DDS: Final SubmissionRick Warren
 
Java 5 PSM for DDS: Revised Submission (out of date)
Java 5 PSM for DDS: Revised Submission (out of date)Java 5 PSM for DDS: Revised Submission (out of date)
Java 5 PSM for DDS: Revised Submission (out of date)Rick Warren
 
C++ PSM for DDS: Revised Submission
C++ PSM for DDS: Revised SubmissionC++ PSM for DDS: Revised Submission
C++ PSM for DDS: Revised SubmissionRick Warren
 
Web-Enabled DDS: Revised Submission
Web-Enabled DDS: Revised SubmissionWeb-Enabled DDS: Revised Submission
Web-Enabled DDS: Revised SubmissionRick Warren
 
Java 5 PSM for DDS: Initial Submission (out of date)
Java 5 PSM for DDS: Initial Submission (out of date)Java 5 PSM for DDS: Initial Submission (out of date)
Java 5 PSM for DDS: Initial Submission (out of date)Rick Warren
 
Extensible and Dynamic Topic Types for DDS, Beta 1
Extensible and Dynamic Topic Types for DDS, Beta 1Extensible and Dynamic Topic Types for DDS, Beta 1
Extensible and Dynamic Topic Types for DDS, Beta 1Rick Warren
 
Mapping the RESTful Programming Model to the DDS Data-Centric Model
Mapping the RESTful Programming Model to the DDS Data-Centric ModelMapping the RESTful Programming Model to the DDS Data-Centric Model
Mapping the RESTful Programming Model to the DDS Data-Centric ModelRick Warren
 
Large-Scale System Integration with DDS for SCADA, C2, and Finance
Large-Scale System Integration with DDS for SCADA, C2, and FinanceLarge-Scale System Integration with DDS for SCADA, C2, and Finance
Large-Scale System Integration with DDS for SCADA, C2, and FinanceRick Warren
 
Data-Centric and Message-Centric System Architecture
Data-Centric and Message-Centric System ArchitectureData-Centric and Message-Centric System Architecture
Data-Centric and Message-Centric System ArchitectureRick Warren
 
Extensible and Dynamic Topic Types for DDS
Extensible and Dynamic Topic Types for DDSExtensible and Dynamic Topic Types for DDS
Extensible and Dynamic Topic Types for DDSRick Warren
 
Easing Integration of Large-Scale Real-Time Systems with DDS
Easing Integration of Large-Scale Real-Time Systems with DDSEasing Integration of Large-Scale Real-Time Systems with DDS
Easing Integration of Large-Scale Real-Time Systems with DDSRick Warren
 
Java 5 API for DDS RFP (out of date)
Java 5 API for DDS RFP (out of date)Java 5 API for DDS RFP (out of date)
Java 5 API for DDS RFP (out of date)Rick Warren
 

Mehr von Rick Warren (20)

Real-World Git
Real-World GitReal-World Git
Real-World Git
 
Building Scalable Stateless Applications with RxJava
Building Scalable Stateless Applications with RxJavaBuilding Scalable Stateless Applications with RxJava
Building Scalable Stateless Applications with RxJava
 
Letters from the Trenches: Lessons Learned Taking MongoDB to Production
Letters from the Trenches: Lessons Learned Taking MongoDB to ProductionLetters from the Trenches: Lessons Learned Taking MongoDB to Production
Letters from the Trenches: Lessons Learned Taking MongoDB to Production
 
Patterns of Data Distribution
Patterns of Data DistributionPatterns of Data Distribution
Patterns of Data Distribution
 
Data-centric Invocable Services
Data-centric Invocable ServicesData-centric Invocable Services
Data-centric Invocable Services
 
Engineering Interoperable and Reliable Systems
Engineering Interoperable and Reliable SystemsEngineering Interoperable and Reliable Systems
Engineering Interoperable and Reliable Systems
 
Scaling DDS to Millions of Computers and Devices
Scaling DDS to Millions of Computers and DevicesScaling DDS to Millions of Computers and Devices
Scaling DDS to Millions of Computers and Devices
 
DDS in a Nutshell
DDS in a NutshellDDS in a Nutshell
DDS in a Nutshell
 
Java 5 Language PSM for DDS: Final Submission
Java 5 Language PSM for DDS: Final SubmissionJava 5 Language PSM for DDS: Final Submission
Java 5 Language PSM for DDS: Final Submission
 
Java 5 PSM for DDS: Revised Submission (out of date)
Java 5 PSM for DDS: Revised Submission (out of date)Java 5 PSM for DDS: Revised Submission (out of date)
Java 5 PSM for DDS: Revised Submission (out of date)
 
C++ PSM for DDS: Revised Submission
C++ PSM for DDS: Revised SubmissionC++ PSM for DDS: Revised Submission
C++ PSM for DDS: Revised Submission
 
Web-Enabled DDS: Revised Submission
Web-Enabled DDS: Revised SubmissionWeb-Enabled DDS: Revised Submission
Web-Enabled DDS: Revised Submission
 
Java 5 PSM for DDS: Initial Submission (out of date)
Java 5 PSM for DDS: Initial Submission (out of date)Java 5 PSM for DDS: Initial Submission (out of date)
Java 5 PSM for DDS: Initial Submission (out of date)
 
Extensible and Dynamic Topic Types for DDS, Beta 1
Extensible and Dynamic Topic Types for DDS, Beta 1Extensible and Dynamic Topic Types for DDS, Beta 1
Extensible and Dynamic Topic Types for DDS, Beta 1
 
Mapping the RESTful Programming Model to the DDS Data-Centric Model
Mapping the RESTful Programming Model to the DDS Data-Centric ModelMapping the RESTful Programming Model to the DDS Data-Centric Model
Mapping the RESTful Programming Model to the DDS Data-Centric Model
 
Large-Scale System Integration with DDS for SCADA, C2, and Finance
Large-Scale System Integration with DDS for SCADA, C2, and FinanceLarge-Scale System Integration with DDS for SCADA, C2, and Finance
Large-Scale System Integration with DDS for SCADA, C2, and Finance
 
Data-Centric and Message-Centric System Architecture
Data-Centric and Message-Centric System ArchitectureData-Centric and Message-Centric System Architecture
Data-Centric and Message-Centric System Architecture
 
Extensible and Dynamic Topic Types for DDS
Extensible and Dynamic Topic Types for DDSExtensible and Dynamic Topic Types for DDS
Extensible and Dynamic Topic Types for DDS
 
Easing Integration of Large-Scale Real-Time Systems with DDS
Easing Integration of Large-Scale Real-Time Systems with DDSEasing Integration of Large-Scale Real-Time Systems with DDS
Easing Integration of Large-Scale Real-Time Systems with DDS
 
Java 5 API for DDS RFP (out of date)
Java 5 API for DDS RFP (out of date)Java 5 API for DDS RFP (out of date)
Java 5 API for DDS RFP (out of date)
 

Kürzlich hochgeladen

Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
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 SolutionsEnterprise Knowledge
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
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 MenDelhi Call girls
 
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 textsMaria Levchenko
 

Kürzlich hochgeladen (20)

Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
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
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
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
 
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
 

Introduction to Robotic Technology Components (RTC), Robotics DTF

  • 1. Introduction to RTC Robotic Technology Component Specification Robotics DTF June 28 2006 Boston, MA, United States Dr. Noriaki Ando [email_address] National Institute of Advanced Science & Technology (AIST) Rick Warren [email_address] Real-Time Innovations (RTI)
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.

Hinweis der Redaktion

  1. RTC fits problem domain, meets solution requirements