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Last Updated: Apr 25, 2025 | Study Period: 2022-2030
In robotics, artificial intelligence (AI) is undoubtedly the most fascinating subfield. Everyone believes that a robot can operate on an assembly line, but there is disagreement about whether a robot will ever be intelligent.
In some areas, computers are already capable of solving issues. AI problem-solving has a straightforward fundamental concept, but its implementation is challenging. The AI robot or computer first uses sensors or human input to acquire information about a scenario.
The computer determines what the information means by comparing it to previously stored information. Based on the data gathered, the computer simulates a variety of potential actions and forecasts which one will be the most successful. The majority of the time, a computer can only perform tasks that it has been programmed to perform.
The Global AI Transfer Robot market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
Shenzhen, a cutting-edge metropolis in southern China, hosted the spring new product launch of Pudu Robotics, the world leader in commercial service robots. The business unveiled four new robots under the theme "3+X," including SwiftBot, PUDU A1, PUDU D1, and PUDU SH1, together with three delivery robots and one cleaning robot.
SwiftBot is a flexible delivery robot that speeds up equipment in restaurants by 30% and cuts traffic between humans and robots by 50%. The first quadruped delivery robot, PUDU D1, and the first composite robot in the restaurant industry, PUDU A1, introduce new opportunities for robot applications in a variety of restaurants and commercial settings.Pudu Robotics' PUDU SH1 is their latest entry into the cleaning industry.
At the Delivering the Future conference outside of Boston, Amazon introduced "Sparrow," a robotic arm that can pick up millions of products of various sizes and shapes. The conference also featured new robotics, transportation, and last-mile delivery technology.
Before things are packaged, Sparrow reportedly moves them using artificial intelligence and computer vision. At a video showing Sparrow, the robotic arm skillfully picks up goods such as a board game, a bottle of vitamins, and a set of sheets that might be found in one of the company's warehouses and places them in crates.
In order to accelerate the adoption of AI-powered parcel sorting systems, Ambi Robotics, the first robotics startup to use Sim2Real artificial intelligence (AI) in commercial production for parcel sortation, has acquired additional funding. As the demand for constant commerce grows, Ambi Robotics is finishing the installation of more than 80 brand-new AmbiSort A-Series parcel sorting solutions across the US to equip warehouse personnel with automated sorting equipment.
The American National Safety Institute (ANSI) safety-compliant AmbiSort A-Series v3, an updated version of the company's main product, is being used by Ambi Robotics. Full-stack sorting systems like AmbiSort combine robotic picking, item analysis, and quality control with a specialized "soft-touch" end effector that can handle boxes, flats, polybags, and other hard or deformable items.
The average throughput per person rises to over 1,200 items safely sorted per hour with more than 99% accuracy when each warehouse employee works alongside three to four AmbiSort A-Series equipment. The company's cutting-edge operating system, AmbiOS, which powers AmbiSort devices, uses simulation-to-reality (Sim2Real) AI technology to quickly train robots to choose and pack millions of unique products on the first day of deployment.
Boston Dynamics revealed the Stretch logistics robot, a movable lifting arm that can move through confined warehouse aisles while mounted on a platform with four wheels. Stretch visually orients itself in space, recognises people and objects, and avoids collisions by using the "perception mast," as Boston Dynamics refers to the sensor rod in the middle.
It can pick up items weighing up to 23 kg and drop them off in another location using the suction head on the mechanical arm, which is able to move in any direction. According to Boston Dynamics, Stretch can carry up to 800 things every hour, which is comparable to what human workers can do.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2030 |
| 21 | Product installation rate by OEM, 2022 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2022 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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