Market Overview
The Global
Logistics Robotics Market size is expected to be valued at
USD 9.5 billion in 2025, and it is further anticipated to reach a market value of
USD 40.2 billion by 2034 at a
CAGR of 17.3%.
The global logistics robotics market is witnessing significant expansion due to increased automation throughout supply chains. Companies are adopting robotics to enhance operational efficiencies, decrease labor costs, and address workforce shortages; with rapid e-commerce growth driving demands for faster deliveries driving providers towards automated solutions like autonomous mobile robots (AMRs), robotic arms, or automated guided vehicles (AGVs). AI and machine learning integration provides additional optimization of logistics operations, allowing robots to perform complex tasks more precisely such as sorting, picking, and delivering with greater precision. Artificial intelligence helps robots perform complex tasks such as sorting, picking, and last-mile delivery with greater precision using AMRs, ARMs, and AGVs.
As industries digitize their logistics operations, this market offers immense potential. Warehouse automation in retail, manufacturing, and third-party logistics (3PL) operations is creating demand, startups and established businesses alike are investing in robotic solutions to improve scalability and efficiency. Industry 4.0 technologies including IoT and cloud computing have enabled seamless coordination among robotic systems for increased productivity while the increasing penetration of robotics into small and medium enterprises (SMEs) should fuel further expansion potential within this sector.
Although its market is promising, traditional logistics firms tend to shy away from adopting robotics due to high initial investment costs and integration complexities, leaving traditional firms wary about adding robots due to large capital expenditure requirements and the requirement of qualified staff. Regulator and safety concerns related to automated solutions remain significant challenges, while cybersecurity risks associated with information exchange between robots and cloud platforms present another significant roadblock.
Robot-as-a-service (RaaS) models have enabled wider adoption across business sizes due to reduced costs associated with service robots; especially among warehouses, sorting centers, and last-mile delivery networks where demand is especially strong; major players like Amazon Robotics, ABB KUKA, and Fetch Robotics lead innovation efforts and push for their adoption.
Logistics robotics holds great promise, as more autonomous delivery robots and drone-based logistics solutions become widely utilized. Companies also aim to reduce their carbon footprint by adopting more energy-efficient robots; as technology progresses further, logistics robots should become increasingly adaptable, intelligent, cost-efficient solutions that allow wider deployment across industries and government, and enterprises expect continued innovation of logistics automation to optimize global trade efficiency and streamline supply chains operations.
The US Logistics Robotics Market
The US Logistics Robotic Market is projected to be valued at USD 3.1 billion in 2025. It is expected to witness subsequent growth in the upcoming period as it holds USD 12.0 billion in 2034 at a CAGR of 16.2%.
The US market for logistics robots is growing swiftly, fueled by increasing demand from e-commerce and labor shortages among logistics companies. The high use of automation solutions in the nation, combined with the dominance of industry giants like Amazon, FedEx, and UPS, is fueling the adoption of robotic solutions at a rapid rate. Spending on AI-based robots, autonomous trucks, and automation of warehouses remains on the rise, with retailers and logistics operators concentrating on increasing supply chain productivity.
One of the most important benefits of the US market is its geographic urbanization and demographic diversity, allowing for easy deployment of logistics robots across different applications, such as warehouse automation and last-mile delivery. The highly developed infrastructure and availability of technology-savvy labor further enhance the adoption of robotics. Government programs aimed at driving industrial automation and investments in intelligent logistics hubs are propelling market growth. With ongoing technological developments and growing needs for same-day delivery offerings, the US logistics robotics market will continue to be a world leader in automation-enabled supply chain solutions.
Global Logistics Robotics Market: Key Takeaways
- Global Market Size: The Global Logistics Robotics Market size is estimated to have a value of USD 9.5 billion in 2025 and is expected to reach USD 40.2 billion by the end of 2034.
- The US Market Size: The US Logistics Robotics Market is projected to be valued at USD 3.1 billion in 2025. It is expected to witness subsequent growth in the upcoming period as it holds USD 12.0 billion in 2035 at a CAGR of 16.2%.
- Regional Analysis: North America is expected to have the largest market share in the Global Logistics Robotics Market with a share of about 38.7% in 2024.
- Key Players: Some of the major key players in the Global Logistics Robotics Market are Amazon Robotics, ABB Ltd., Geek+, Berkshire Grey, KUKA AG, Honeywell Intelligrated, Fetch Robotics (Zebra Technologies), Locus Robotics, and many others.
- Global Growth Rate: The market is growing at a CAGR of 17.3 percent over the forecasted period.
Global Logistics Robotics Market: Use Cases
- Warehouse Automation: Logistics robots are used in fulfillment centers to maximize order picking, inventory handling, and product sorting, vastly enhancing warehouse efficiency and minimizing dependency on manual labor.
- Last-Mile Delivery: Self-driven robots and drones are being deployed more and more for last-mile delivery, thereby facilitating quicker and more economical handling of shipments while limiting dependence on human delivery staff.
- Automated Sorting Centers: Robotic sorting facilities advance package classification and routing in warehouses, allowing shipping companies to handle large quantities of shipments quickly and accurately.
- Port and Terminal Operations: Autonomous cranes, AGVs, and robotic arms are utilized in ports to handle containers, lowering turnaround time and improving operational efficiency and safety in shipping logistics.
Global Logistics Robotics Market: Stats & Facts
- Pick Rate Efficiency: Warehouse order-picking robots can achieve a pick rate of up to 1,600 items per hour, significantly improving operational efficiency. (Source: Logistics Automation Studies)
- Cost Savings & Processing Time Reduction: Robotic automation in logistics can lead to cost savings of up to 20% and a 65% reduction in order processing times. (Source: Logistics Automation Studies)
- Amazon’s Robotic Deployment: Amazon has deployed over 200,000 mobile robots across its fulfillment centers worldwide. (Source: Amazon Reports)
- DHL’s Productivity Gains: DHL reported a 25% increase in productivity after integrating robots into its warehouses. (Source: DHL Reports)
- Future Warehouse Automation: Approximately 80% of U.S. warehouses are expected to adopt robotics and automation by 2025. (Source: DHL Logistics Trend Radar)
- Emerging Technologies Impacting Logistics: Sustainable energy, medical informatics, 3D printing, gene sequencing, big data analytics, and self-driving cars will shape the future of logistics. (Source: DHL Logistics Trend Radar)
- Manufacturing & Consumer Robotics: Robots enhance factory efficiency, improve product quality, and lower costs, while personal robots assist with household chores like vacuuming and gardening. (Source: Robotics Industry Insights)
- Exoskeleton & Prosthetics Advancements: Robotic prosthetics and exoskeletons help restore mobility for amputees and the elderly, enabling them to remain active in society. (Source: Medical Robotics Research)
- E-commerce Growth & Robotics Demand: Forrester Research predicts a 10% year-on-year growth for online retail in Europe and the U.S. China’s online retail market is projected to match the combined markets of France, Germany, Japan, the UK, and the U.S. by 2020. (Source: Forrester Research)
Global Logistics Robotics Market Dynamic
Driving Factors in the Global Logistics Robotics Market
Surge in E-commerce and Online RetailThe rapid growth of e-commerce has been one of the primary drivers of logistics automation, transforming supply chains around the world. With more shoppers turning to online shopping platforms for convenience, companies face growing pressure to get orders to their destinations faster and better manage their warehouses. Large e-commerce companies such as Amazon, Alibaba, and Walmart have heavily invested in automation to streamline logistics processes. Such companies apply robotic technologies such as automated guided vehicles (AGVs), robotic arms, and autonomous mobile robots (AMRs) to facilitate sorting, picking, packing, and dispatch of goods with minimal or zero human intervention.
Automated logistics systems reduce human error, deliver more accurate results, and enable large order quantities to be processed more efficiently in warehouses. Automation also enhances demand forecasting, real-time tracking, and stock management, making it easy for companies to scale their business. The popularity of same-day and next-day deliveries has also boosted demand for more efficient and speedy logistics robots. Companies that fail to use robotics in their supply chains risk getting left behind in a competitive business setup.
Adoption of Industry 4.0 and Smart Warehousing
The integration of Industry 4.0 technologies like the Internet of Things (IoT), artificial intelligence (AI), blockchain, and cloud computing is revolutionizing warehouse automation and logistics robots. With smarter warehousing, logistics robots are now equipped with IoT-based sensors, RFID tags, and cloud-based analysis, enabling them to monitor inventories in real time and optimize warehouse processes.
Businesses are shifting towards fully digitized supply chains where robot systems automatically track stock levels, predict demand patterns, and control storage and retrieval independently.
AI-powered warehouse management systems (WMS) facilitate predictive analysis, helping companies to predict stock shortages and replenish in advance. Blockchain technology also provides security and transparency in supply chain transactions, preventing fraud and making processes easy to manage.
By leveraging smarter technologies, business organizations can enhance overall productivity, mitigate bottlenecks, and develop resilient supply chains that can adapt easily to marketplace volatility and global disruptions. With evolving automation technology, there is going to be a high demand for smarter warehousing and logistics robotics across different sectors such as food distribution, manufacturing, pharmaceuticals, and retail.
Restraints in the Global Logistics Robotics Market
High Initial Costs of Investment
Despite the added efficiency that logistics robotics introduces, high upfront deployment costs remain a primary barrier, particularly to small to medium-sized enterprises (SMEs). The deployment of robot automation requires a high capital investment in buying robot systems, adding software applications, installing new infrastructure, and training staff to operate and maintain the technology.
Beyond the initial capital, maintenance, software maintenance, and sporadic system overhauls account for operational expenses. Logistical robots must be constantly calibrated, receive firmware maintenance, and be debugged to function at maximum capability. Malfunctions or unanticipated failures can lead to operational downtime, increased expenses, and reduced productivity.
For businesses that face tight budgets, it is sometimes a challenge to weigh automation's long-term benefits against short-term financial expenses. However, companies that must compete in a dynamic marketplace must pursue strategic financing options, lease programs, or Robotics-as-a-Service (RaaS) models to phase in automation over time.
Regulatory and safety concerns
The widespread application of logistics robots is overseen by a set of regulatory frameworks and safety standards of compliance. The government and industry regulatory bodies put in place strict rules to ensure that self-operated robots navigate safely in warehouses, distribution centers, and open areas.
One key issue is that of cybersecurity and data privacy threats to cloud-connected robot systems. With logistics robots relying on AI-based decision-making and sharing of real-time data, they become vulnerable to cyberattacks, hacking attempts, and data breaches. Business entities must install robust cybersecurity to prevent potential attacks and secure sensitive business data.
Additionally, regulatory bodies require strict safety procedures to restrict robot-human interaction hazards in warehouse and delivery processes. The application of such procedures typically requires extensive testing, documentation, and adherence to ISO safety standards, slowing new robot technologies to be introduced. Organizations employing logistics robots must be compliant with local, national, and international safety rules to avoid penalties, business disruption, or brand damage.
Opportunities in the Global Logistics Robotics Market
Expansion of Robotics-as-a-Service (RaaS) Model
The Robotics-as-a-Service (RaaS) business model is transforming the logistics robotics industry by providing businesses with affordable automation technologies without incurring heavy capital expenses initially. Under this business model, businesses can lease automation technologies on a subscription or pay-per-use arrangement, making automation affordable even for small and medium-sized businesses (SMEs).
RaaS offers scalability and flexibility, allowing companies to scale their robot fleet in sync with demand patterns. This is extremely beneficial to seasonality companies that get a spate of orders during their high seasons. The business model of RaaS also includes software updates, maintenance services, and AI improvements, keeping robotic systems up to-date and always optimized.
As more companies become cognizant of the financial rewards and operational efficiencies of RaaS, the trend is set to fuel logistics automation adoption across industries, providing new business opportunities to robotics makers and service providers.
Advancements in Edge Computing and 5G for Logistics Automation
The deployment of edge computing and 5G networks is set to revolutionize logistics automation in terms of connectivity, speed, and instant decision-making. With ultra-low latency and high-speed data transfer, 5G allows for seamless interaction between warehouse management systems, cloud platforms, and autonomous robots.
Edge computing also enhances efficiency by processing data close to its point of origin, reducing overdependence on centralized cloud servers. This results in faster response times, better obstacle detection, and more efficient route optimization for logistics robots.
These technological advances allow for real-time stock control, automated guided vehicle (AGV) coordination, and predictive analysis via artificial intelligence (AI). With a combination of 5G and edge computing, logistics robots become more self-reliant, reduce waiting time, and increase warehouse productivity.
Trends in the Global Logistics Robotics Market
Integration of AI and Machine Learning in Robotics
Artificial Intelligence (AI) and Machine Learning (ML) increasingly find applications in enhancing logistics robot functionality. AI robots can handle large amounts of data to autonomously optimize warehouse processes, detect areas of waste, and improve order fulfillment accuracy. Machine Learning enables logistics robots to adapt to new scenarios, learn from their previous work, and become more productive over time.
AI-controlled robots, for example, can automatically adjust their routes, manage high-priority deliveries, and manage storage allocation to reduce time to retrieve. AI-based predictive maintenance also reduces downtime by identifying probable failures in equipment in advance. As AI and ML continue to evolve, logistics robots will become more intelligent, autonomous, and capable of handling complex logistical challenges with minimal human supervision.
Rise of Autonomous Delivery Solutions
The logistics industry is also evolving towards autonomous delivery systems in the shape of drones, self-driving delivery robots, and auto-operated last-mile solutions. Amazon, DHL, and FedEx already working towards developing autonomous delivery vehicles to cater to the growing demand for contactless, low-cost, and time-saving deliveries. These delivery robots employ advanced sensors, computer vision, GPS, and live tracking systems to enable secure and efficient last-mile delivery.
The COVID-19 pandemic accelerated the adoption of contactless delivery, fueling demand for autonomous logistics services. As urban infrastructure is transformed to support smart cities and self-driving mobility, self-driving delivery robots will become a commonplace method of e-commerce, food, and medicine delivery, revolutionizing logistics across the globe.
Research Scope and Analysis
By Type
Autonomous Mobile Robots (AMRs) are projected to take the lead in logistics robotics when it comes to their flexibility, adaptability, and intelligence in material handling automation processes. Compared to Automated Guided Vehicles (AGVs), which require guidance using fixed infrastructure in the form of magnetic strips or tracks, AMRs navigate dynamically via onboard cameras, sensors, and AI-based mapping systems. With such flexibility, they can function in dynamic warehouse environments without requiring significant layout modifications to the facility.
One of the primary reasons AMR is dominant is that it raises productivity without raising labor costs. With more order fulfillment needs and warehouse operations, companies are turning to AMRs to automate processes such as picking, sorting, and moving stock to enable faster processing time. AMRs complement human laborers, making processes more efficient without eliminating labor entirely, making it a fantastic option for companies transitioning to automation.
Another major reason for AMR's dominance is its scalability and deployment convenience. AMRs can be easily integrated into existing logistics infrastructure without disrupting business processes inordinately. Most of today's AMRs also come integrated with fleet management software in the cloud, making it easy for companies to manage, control, and optimize robot performance in real time. With a growing need for warehouse automation, AMRs' ability to function in advanced settings, be easily integrated into warehouse management systems (WMS), and function autonomously is making it a logistics company's primary choice around the globe.
By Function
The pick-and-place function is a logistics robotics leader owing to its simplicity in warehouse and distribution center operations. The growth in e-commerce and high-speed supply chains has created a need for order fulfillment, making robotic pick-and-place systems a necessity to hasten processes and reduce errors. The sophisticated vision systems, AI-based object recognition, and precision grippers allow the robots to handle a large assortment of goods, from fragile items to commodities in large quantities, precisely.
One of the key reasons for the widespread adoption of pick-and-place robots is their ability to significantly improve efficiency in warehouse operations. Traditional manual picking is time-consuming and prone to human error, but robotic systems can handle thousands of picks per hour with near-perfect accuracy. Additionally, robots can operate 24/7 without fatigue, ensuring continuous throughput, which is critical for meeting same-day and next-day delivery demands.
Another factor that has contributed to making pick-and-place robots more popular is their adaptability across industries. From order fulfillment centers of e-commerce to automotive and pharmaceutical warehouses, these robots streamline logistics processes by eliminating repetitive procedures. Technological advances such as AI vision recognition and machine learning enable pick-and-place robots to distinguish between various products and adjust their handling procedures accordingly. With labor shortages continuing to be a challenge in logistics, companies increasingly resort to pick-and-place automation to boost business efficiency, reduce expenses, and meet the growing demands of today's supply chains.
By Application
The warehouse and distribution sector is expected to dominate the logistics robotics market due to the ever-growing need for efficiency, accuracy, and cost reduction in supply chain operations. With global e-commerce expansion and rising consumer expectations for rapid deliveries, warehouses are under immense pressure to optimize inventory management, picking, packing, and shipping processes. Robotics solutions, including autonomous mobile robots (AMRs), automated storage and retrieval systems (AS/RS), and robotic sorters, have become critical for meeting these demands.
One of the main reasons warehouses and distribution centers are the leading applications for logistics robotics is their scale and complexity. Large fulfillment centers process thousands of orders daily, requiring high-speed and error-free operations. Robotics improve throughput by automating repetitive tasks such as sorting, order picking, and inventory replenishment, significantly reducing reliance on manual labor and minimizing human error.
Another key factor driving the dominance of robotics in warehouses is the increasing adoption of warehouse automation technologies, including AI-driven inventory management and real-time tracking. Companies like Amazon, Walmart, and Alibaba have set industry standards by deploying large-scale robotic systems to enhance speed and accuracy in order fulfillment. Robotics also improve safety by reducing workplace injuries associated with manual lifting and movement of heavy goods. With continued advancements in AI, IoT, and machine learning, warehouse and distribution robotics will further dominate logistics automation, enabling businesses to stay competitive in a fast-paced global market.
By End-User Industry
E-commerce and retail are supposed to be the dominant end-user industries for logistics robotics due to the rapid growth of online shopping and the increasing need for efficient fulfillment operations. The e-commerce boom has led to skyrocketing order volumes, requiring logistics providers to adopt robotics solutions for faster processing, accurate order fulfillment, and cost-efficient delivery. Robots are widely deployed in e-commerce warehouses to automate tasks such as picking, packing, sorting, and shipping, enabling companies to meet customer expectations for quick and reliable delivery.
One of the primary reasons for the dominance of e-commerce and retail in logistics robotics is the shift toward automated fulfillment centers. Companies like Amazon, Alibaba, and Shopify are investing heavily in robotics to optimize their supply chain and meet growing consumer demand. Robotics-powered solutions such as automated storage and retrieval systems (AS/RS), autonomous mobile robots (AMRs), and robotic arms ensure high efficiency in inventory management, reducing errors and improving overall order accuracy.
Another key factor driving robotics adoption in e-commerce and retail is the growing complexity of order fulfillment, including multi channel retailing and same-day delivery expectations. Retailers need to handle various order sizes, customize packaging, and ensure fast turnaround times, all of which are streamlined through automation. Additionally, labor shortages and rising operational costs make robotics a strategic investment for long-term efficiency. As online shopping continues to expand, the reliance on logistics robotics in e-commerce and retail will further increase, solidifying its position as the dominant end-user industry in the market.
The Logistics Robotics Market Report is segmented on the basis of the following
By Type
- Autonomous Mobile Robots (AMRs)
- Automated Guided Vehicles (AGVs)
- Robotic Arms
- Unmanned Aerial Vehicles (Drones)
- Exoskeletons
By Function
- Pick & Place
- Palletizing & Depalletizing
- Sorting & Packaging
- Transportation & Delivery
- Loading & Unloading
By Application
- Warehouse & Distribution
- Freight & Shipping
- Last-Mile Delivery
- Inventory Management
- Cold Storage & Pharmaceutical Logistics
By End-User Industry
- E-commerce & Retail
- Food & Beverage
- Healthcare & Pharmaceuticals
- Automotive
- Consumer Electronics
- Manufacturing & Industrial
- Agriculture & Forestry
Regional Analysis
The region with Highest Market Share
North America is likely to dominate the logistics robotics market in terms of
revenue of 38.7% in 2025 due to its strong infrastructure in terms of technology, high adoption of automation, and established companies in the sector. The region also hosts players such as Boston Dynamics, Amazon Robotics, and FedEx which have heavily invested in robotic technologies to automate supply chain processes. The demand for speedy, efficient, and errorless order fulfillment, driven largely by a flourishing e-commerce business, has accelerated automation in distribution centers and warehouses.
Another key reason why North America is in leadership is that it has high investments in Industry 4.0 technologies like AI, IoT, and cloud computing that enhance robotic capabilities. The logistics and warehousing labor scarcity has also fueled automation adoption, as companies shift to mitigate labor challenges in addition to improving efficiency. In addition, government support of industrial automation and advances in 5G connectivity enables easy robot integration. With infrastructure in place, a sophisticated marketplace for robotics, and increasing demand for autonomous alternatives, North America is ahead of other regions in the logistics robotics industry.
Region with the Highest CAGR
The Asia-Pacific is registering the highest compound annual growth rate (CAGR) in the logistics robotics business due to its high industrialization, booming e-commerce business, and high automation investments. China, Japan, and South Korea take the lead in developing robotics, with government and business sectors heavily investing in smart logistics systems. The global manufacturing hub, China, has placed a high priority on warehouse automation to support its increasing online shopping business.
A key driver of expansion in Asia-Pacific is rising labor costs and shortages of labor, compelling companies to use robotics to automate their warehouses and provide last-mile delivery. Middle-class expansion and same-day or next-day delivery demand also fueled demand for high-efficiency logistics services. Friendly government programs and initiatives, such as China’s “Made in China 2025” and Japan’s push to increase industrial automation, also fueled the adoption of robotics. With continued innovations in technologies and high demand for efficient logistics, Asia-Pacific is likely to witness the fastest growth in logistics robotics.
By Region
North America
Europe
- Germany
- The U.K.
- France
- Italy
- Russia
- Spain
- Benelux
- Nordic
- Rest of Europe
Asia-Pacific
- China
- Japan
- South Korea
- India
- ANZ
- ASEAN
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- Rest of Latin America
Middle East & Africa
- Saudi Arabia
- UAE
- South Africa
- Israel
- Egypt
- Rest of MEA
Competitive Landscape
The global logistics robot market is highly competitive, and companies in this market compete to gain higher market share through innovation, strategic partnership, and acquisition. The companies in this market consist of players such as Amazon Robotics, ABB, KUKA, Fanuc, and Geek+, which are transforming the market by developing advanced robotic solutions for warehouse automation, material handling, and last-mile delivery.
The companies are investing in AI, machine learning, and IoT to enhance logistics robot functionality and supply chain optimization. Startups and new entrants also begin to enter the market, offering new Robotics-as-a-Service (RaaS) that reduces entry points for small to medium-sized businesses. Flexible automation options that support different logistics requirements are offered by Fetch Robotics and Locus Robotics.
Strategic collaborations between robot companies and logistics providers are revolutionizing market dynamics. FedEx and DHL, for instance, have integrated autonomous mobile robots (AMRs) in their distribution systems to streamline sorting and delivery processes. With heightened competition, AI-based robotics and self-driving delivery technologies will increasingly power the logistics robotics market's growth.
Some of the prominent players in the Global Logistics Robotics Market are
- Amazon Robotics
- ABB Ltd.
- Geek+
- Berkshire Grey
- KUKA AG
- Honeywell Intelligrated
- Fetch Robotics (Zebra Technologies)
- Locus Robotics
- Yaskawa Electric Corporation
- Boston Dynamics
- GreyOrange
- Other Key Players
Recent Developments
- January 2025: In a strategic move to enhance automation capabilities, Symbotic announced the acquisition of Walmart's advanced systems and robotics business. The deal, valued at $200 million with potential additional payments of up to $350 million, includes a $520 million contract to develop an automated delivery platform for Walmart stores. This acquisition aims to optimize Walmart's online pickup and delivery systems, expanding Symbotic's market presence in retail automation.
- November 2024: Agility Robotics introduced 'Digit,' a humanoid robot designed to address labor shortages in manufacturing and logistics. Standing at 5-foot-9, Digit is capable of performing repetitive tasks such as moving boxes and has been employed by GXO Logistics in Spanx factories. This deployment marks a significant advancement in integrating humanoid robots into the workforce.
- October 2024: GXO Logistics, a prominent provider of AI-powered robotics and warehousing services, considered a potential sale following unsolicited takeover interest. The company engaged financial advisors to explore options, reflecting the increasing consolidation trends within the logistics robotics sector.
- September 2024: Amazon unveiled 'Proteus,' its first collaborative robot designed to assist human workers in warehouses. Equipped with human-like features, Proteus safely navigates and transports packages, aiming to boost efficiency and reduce operational costs. This development underscores Amazon's commitment to integrating advanced robotics into its logistics operations.
- August 2024: Addverb Technologies, an Indian robotics and automation company, declared its foray into humanoid robotics. In collaboration with Reliance, the company is developing its first humanoid robot, leveraging Jio's AI platform and 5G services, with plans to launch in 2025. This initiative signifies a significant step in advancing robotics capabilities in the logistics sector.
- July 2024: Agility Robotics' humanoid robot, 'Digit,' trained by AI to perform physical tasks, was deployed in facilities owned by GXO and Amazon. GXO Logistics compensates Agility $30 per hour for each robot's services, highlighting the commercial viability and growing acceptance of humanoid robots in logistics operations.
- June 2024: Founded by former Amazon executive Brad Porter, Cobot introduced 'Proxie,' a versatile, two-armed, four-wheeled robot designed to handle tasks such as moving trolleys in environments like hospitals, airports, and factories. Companies including Maersk and Mayo Clinic are testing Proxie, reflecting the expanding role of collaborative robots in various industries
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