Safety Training - Collaborative Robot Safety

Syllabus for course on Collaborative Robot Safety Training

AM Session

Course Objective:
Students will be able to:

  • Understand the basic principles of safeguarding industrial robots
  • Understand the special requirements of collaborative applications
  • Apply provisions of the standard in daily operations

Methodology:

Using lecture aided by visual presentations, inform the students of the essential information contained in the new RIA TR15.606-2016 Collaborative Robots which is supplemental to the guidance in ANSI/RIA R15.06.

Topical summary:

Robot safety overview

  • Standards
  • Safety requirements
  • Safeguarding
  • Risk assessment
  • Concept of collaboration

Standard safety requirements

  • Review of requirements in the ANSI/RIA R15.06-2012
  • Robot
  • Robot system
  • Applications

Collaborative safety requirements

  • Introduction to ISO/TS 15066 (TR R15.606)

Collaborative applications

  • Safety rated stop
  • Hand guiding
  • Speed and separation monitoring

Considerations for Power and Force Limited (PFL) robot applications

  • Force/pressure
  • Contact
  • Design elements
  • Testing and validation

Risk assessment

  • Discussion of the RIA Technical Report TR R15.306

PM Session

Course Objective:
Students will be able to:

  • Identify necessary tasks
  • Identify possible hazards
  • Use furnished matrix to determine risk reduction requirements
  • Reason possible solutions to reduce risk
  • Validate proposed solutions
  • Document the risk assessment

Methodology:

Using group participation, guide students through each stage of a risk assessment that satisfies the requirements in the ANSI/RIA R15.06-2012 Robot Safety Standard, and called out in the new RIA TR15.606-2016 Collaborative Robots.

Topical summary:

Practical Exercise in Risk Assessment

  • Task-based risk assessment using TR R15.306
  • Selected PFL example

Apply requirement of ISO/TS 15066

  • Pressure/speed measurements
  • Layout/design elements
  • Sample calculations
  • Mitigation
  • Awareness measures
  • Validation

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