1.1 Research Scope

1.2 Research Methodology

1.3 Explanation of Research Methodology

2.1 Key Findings

2.1 Key Findings (Continued)

3.1. An Overview of Different Autonomous Warehouse Robots

3.2. Automated Storage and Retrieval Systems have Highest Adoption Rate in the Warehouse Industry

3.3 Automated Guided Vehicles are Apt for Raw Material Handling for Work-in progress Manufacturing Scenarios

3.4. Goods-to-Person technology is a Type of AS/RS Solution

3.5. Autonomous Mobile Robots Adoption Rate is Anticipated to Increase in the Near Term

3.6. Articulated Robotic Arms are Predominately Used for Picking and Sorting applications

3.7. Automated Guided Carts are the Easiest Robotic Solutions that can be Adopted with Minimal Investment

3.8 There are Many Regulations Governing the Adoption of Unmanned Aerial Vehicles

4.1. An Overview of Different Types of Navigation Technologies for Autonomous Robotic Solutions

4.2. LiDAR with AI and Machine Learning is the Currently Available Advanced Navigational Solution

4.3. Label and Laser based Navigation Solutions are Most Commonly Used in Autonomous Robots

4.4. Rail Navigation is the Simplest and Oldest Type of Navigation Solution

5.1. Funding has been Immensely Increasing Encouraging Technology Adoption

5.2. The Start-ups Funding Scenario has Seen Investment Even from OEMs in the Robotics Industry

6.1. Strategic Acquisition to become Industry Leader and Expand Product Portfolio

7.1. Key Components for Business Model Development

7.2. Business Model Opportunity for Technology Developers

7.3. Business Model Opportunity for Software Providers

8.1 Key Contacts

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