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The Use Case of Cognitive Systems in Collaborative Robotics

Collaborative robots are becoming increasingly popular within the manufacturing and logistics markets. In a concomitant trend, capabilities developed out of cognitive systems are increasingly being deployed in the robotics space, and offer both vendors and end-users to significantly increase the utility of collaborative robots. This report defines cognitive systems, highlights their potential uses, and how they intersect with the promise of the collaborative robotics space. The report will provide an overview of the collaborative market, focusing on vendors and market forecasts. The central part of the report will focus on outlining 10 key use-cases related to the intersection of collaborative robots and cognitive systems, with examples given in each case.

Recommendations concerning the intersection of cognitive systems and collaborative robotics are provided in the report to robotic vendors, as well as end-users, regarding their development, sales, and use. This report is a key supplementary report to ABI Research’s Commercial and Collaborative Robotics market data.

 

Table of Contents

  • 1. EXECUTIVE SUMMARY
  • 2. COGNITIVE SYSTEMS
  • 3. COLLABORATIVE ROBOTICS
    • 3.1. Collaborative Robots
    • 3.2. Features of Collaborative Robots
    • 3.3. Applications of Collaborative Robots
    • 3.4. Collaborative Vendor Ecosystem
    • 3.5. Profile of Major Collaborative Robot Suppliers
    • 3.6. Collaborative Robotics Forecasts
  • 4. COGNITION AND COLLABORATION
  • 5. KEY USE CASES
    • 5.1. Movement: Localization, Navigation, and Mobility
    • 5.2. Vision: Machine Vision for Haptics and Collision Avoidance
    • 5.3. Cognition: Prognostics and Defect Detection
    • 5.4. Speech Recognition
    • 5.5. Facial/Emotion Recognition
    • 5.6. Human-Robot Interface: Dynamic Programming
    • 5.7. Planning: Simulation and Visual Programming
    • 5.8. Learning: Improved Productivity through IIoT Platforms
    • 5.9. Adaptability: Innovation through SDKs
    • 5.10. IIoT Platforms Open Up Cobots as a Service
  • 6. DRIVERS FOR COGNITIVE COBOTS
    • 6.1. Innovation in Personal/Social Robots
    • 6.2. Rise of Third-Party Providers and RaaS
    • 6.3. Policy Drivers
  • 7. CHALLENGES AHEAD
    • 7.1. Market Complexity
    • 7.2. Safety Standards
    • 7.3. Price Point
  • 8. RECOMMENDATIONS FOR END USERS
    • 8.1. Be Task-Based, Not Holistic
    • 8.2. Don't Be Blind to the Difficulties of Implementation
    • 8.3. RaaS Is an Excellent Option for Those Unsure
  • 9. RECOMMENDATIONS FOR VENDORS