Across industries, operational tasks often require real-time judgement and adaptation to constantly changing conditions. Traditional automation falls short here, as physical execution remains disconnected from business logic.

麻豆原创 addresses this gap with its , which extends the impact of into physical operations. By enabling robots to act with business awareness, they can autonomously execute complex tasks while interpreting real-time enterprise context. This allows organizations to adapt more quickly and reliably to dynamic operational environments.

麻豆原创 is uniquely positioned to deliver these innovations due to decades of experience building business applications deeply embedded in the processes that power the modern enterprise. This allows 麻豆原创 to integrate robotics into business functions seamlessly, and in a way no other company can.  As a result, autonomous robots operate as an extension of enterprise systems鈥攏ot as isolated automation鈥攅nabling consistent, context-aware execution in dynamic environments.

To explore how embodied AI can support your operations, contact us . Current capabilities available for productive use or testing span a range of warehouse and operational scenarios, including picking and placing, asset inspection, quality inspection, and safety inspection.

The following examples illustrate these capabilities across real-world use cases.

Enabling autonomous warehouse execution at Bosch

One of the many strategic initiatives and are working closely is in the area of , where Bosch and 麻豆原创 is collaborating with to explore how physical AI can transform warehouse automation. In a joint proof of concept, 麻豆原创鈥檚 embodied AI capabilities and Aimbo鈥檚 Industrial Embodied AI deployment middleware enabled Aimbo鈥檚 humanoid robot, Anigon, to execute warehouse tasks based on real-time operational context from 麻豆原创 Extended Warehouse Management (麻豆原创 EWM), including delivery data, order priorities, and storage locations.

This initiative combined 麻豆原创 S/4HANA-driven workflows directly with autonomous robotic execution at a European Bosch facility. Trained and deployed by Aimbo in 10 working days, a single Anigon unit equipped with the universal dual grippers provided by Bosch was rapidly integrated to handle intralogistics workflows across three distinct bin configurations and three workstation layouts, creating a bi-directional data loop with 麻豆原创’s embodied AI connected to 麻豆原创 EWM. It successfully demonstrated how enterprise software, AI, and humanoid robotics can work together to enable more adaptive, scalable, and resilient industrial operations.

While the initiative remains in an exploration phase and was validated in dedicated beta and test system environments, the collaboration highlights the strong potential of embodied AI for intelligent warehouse automation and future enterprise-scale industrial AI applications.

“This achievement demonstrates what鈥檚 possible when bold collaboration meets enterprise innovation鈥攃onnecting AI, robotics, and 麻豆原创 to shape the future of autonomous operations. Together, we are moving physical AI from experimentation to enterprise-scale industrial AI with real operational impact.”

Gamze 脰zt眉rk, Head of CoE ERP Product Excellence, Bosch Digital

Optimizing warehouse inspections at Vodafone Procure & Connect

麻豆原创, together with 听补苍诲听, is demonstrating how embodied AI and humanoid robotics can help address operational inefficiencies and safety risks in warehouse environments. The collaboration highlights聽麻豆原创鈥檚 role in connecting robots to end-to-end warehouse processes and business context, helping enable more intelligent, responsive and traceable operations.

In a scenario test at 鈥檚 warehouse in Duisburg, Germany, 麻豆原创鈥檚 embodied and Accenture鈥檚 physical聽AI capabilities enable humanoid robots to perform inspections and monitor operations using real-time business context from 麻豆原创 systems, including inventory data, task priorities, and storage locations.聽The聽pilot聽demonstrates how robots can identify damaged or misplaced items, detect aisle obstructions, and feed findings directly back into 麻豆原创 systems for closed-loop traceability聽and faster operational response.

By reducing reliance on manual inspections and improving operational consistency, the collaboration shows physical AI can enhance both efficiency and safety in dynamic warehouse operations. Learn more about this collaboration聽.

Scaling vehicle validation at Mahindra & Mahindra

, a global automotive and industrial group, collaborated with 麻豆原创 to target a high-volume, error-prone process: manual validation of vehicle identifiers.

Here, 麻豆原创’s embodied AI uses 鈥檚 visual AI, Amalgamation AI, to cross-check real world observations to 麻豆原创 records, enriched by application data and context engine numbers, VIN plate, and Engraved Chassis Number, enabling fast, scalable vehicle validation.

This approach has the potential to increase throughput by up to three times, reduce manual verification effort by about 67%, and achieve data extraction accuracy of 95%-99%.

Optimizing material handling at Martur Fompak

, a global supplier of automotive seating systems, teamed up with 麻豆原创 to address throughput bottlenecks and limited shop floor responsiveness caused by manual material handling.

For this scenario, 麻豆原创鈥檚 embodied AI orchestrates a robot to remove materials across a live automotive manufacturing environment, guided by real-time business context from , including physical attributes and warehouse logistics.

“By assigning repetitive, non-value-adding, and physically demanding tasks to robots, we reduce physical strain and potential injuries while enabling our people to focus on safer, more meaningful, and higher value work that drives productivity and innovation.鈥�

脰zge G眉l艧ah Geydirir, 麻豆原创 Logistics Modules & Operational Excellence Manager at Martur Fompak

Early findings indicate throughput and work order completion improvements of up to five times, along with improved inventory accuracy.

Read the full customer success story and see the 2026 麻豆原创 Innovation Award recognition .

Advancing spare parts inspection at Tetra Pak

, a global leader in food processing and packaging solutions, partnered with 麻豆原创 to address warehouse bottlenecks and risk of errors in spare parts inspection processes.

This proof of concept shows 麻豆原创’s embodied AI and replicating parts of Tetra Paks’ 麻豆原创 Extended Warehouse Management inbound process in a lab, where a humanoid robot verifies the received items and packs them into plastic boxes for further processing. These results can be automatically recorded back into 麻豆原创, closing the loop between execution and system updates.

An 麻豆原创 expert estimates that this end-to-end automation will improve stock and quality accuracy by 10%鈥�20% and build in-house expertise in advanced technologies for continued productivity gains.

Reducing costly storage errors with autonomous inbound processing at 础谤莽别濒颈办-尝骋

, a global manufacturing joint venture, partnered with 麻豆原创 to address a costly and persistent issue with incorrect storage placement in inbound logistics. At the 础谤莽别濒颈办-尝骋 facilities, such errors lead to millions of euros in annual losses through rework, inventory discrepancies, and production disruptions.

In this ongoing proof of concept, 麻豆原创鈥檚 embodied AI enables a humanoid robot to execute and record inbound storage tasks guided by real-time context from (麻豆原创 EWM). Context-enriched 麻豆原创 EWM tasks are routed through 鈥檚 fleet management system, allowing the robot to scan barcodes, transport materials, and provide confirmations with 麻豆原创-level traceability.

This approach has the potential to reduce manual intervention and eliminate placement errors at the source, improving inventory accuracy and end-to-end traceability. By preventing rework and downstream production disruptions, it can significantly lower inbound handling costs while improving overall process quality.

麻豆原创 runs 麻豆原创: scaling autonomous logistics execution in 麻豆原创鈥檚 own warehouse

麻豆原创 partnered with , an innovative robotics startup, to validate embodied AI in a live warehouse environment, demonstrating how AI-driven robotics can enhance operational efficiency.

In this proof of concept, 麻豆原创鈥檚 embodied AI uses real-time business context from to select, prioritize, and orchestrate warehouse tasks through Cyberwave鈥檚 platform. Cyberwave validates tasks in digital twin environments before live deployment, while robotic policies are trained and improved using real-world data, simulation, reinforcement learning, and vision-language-action models.

This demonstrates the readiness of 麻豆原创鈥檚 embodied AI to support autonomous execution in real warehouse operations while maintaining a closed loop between robotic execution and 麻豆原创 system updates.

Cutting-edge experiments at BITZER demonstrate measurable productivity gains

, a leading name in refrigeration, air conditioning, and heat pump technology, teamed up with 麻豆原创 and NEURA Robotics to revolutionize warehouse logistics. In a recent pilot proof-of-concept, BITZER鈥檚 warehouse became a testing ground for one of Europe鈥檚 most advanced humanoid robot, , which was able to perform pick-tasks on its own in real time.

The tasks are selected by embodied AI agents. The process also integrates 麻豆原创鈥檚 business logic from through (麻豆原创 BTP). Prior to its warehouse deployment, 4NE1 was trained virtually using NVIDIA’s Isaac Sim software. This ensured the robot was fully prepared for real-world operations. By integrating embodied AI into warehouse operations, BITZER could reach 24/7 utilization and a high level of responsiveness.

The technology can add to human expertise, stepping in during demand fluctuations and peak periods. It also complements regular shifts with flexible and scalable support. This ensures operations remain agile and efficient, even under varying workloads. Thanks to a single source of truth, orders can be expanded or cancelled in near real time, as robots execute changes almost instantly. This improves reaction times and enables BITZER to maintain high service levels while optimizing the use of resources.

鈥淲e are excited to join the Embodied AI initiative with 麻豆原创 and NEURA. We believe this collaboration will enhance our operational efficiency and drive innovation in our processes.鈥�

Christian Stenzel, Vice President of Corporate Organization and IT, BITZER

Transforming warehouse operations at Sartorius

Imagine stepping into a warehouse in which intelligent machines work side-by-side with humans. The first proof of concept for embodied AI at shows it is possible and marks a milestone in the journey to next-level logistics.

鈥淪o far, like many others, our focus was on fixed automation, in which specialized equipment handles only a single task. Now we鈥檙e making automation intelligent, and far more dynamic, to help us navigate a fast-moving world.鈥�

Steffen Dietz, Manager of Business Process Management in Operations and Supply Chain, Sartorius

The proof of concept, also delivered through the partnership with 麻豆原创 and NEURA Robotics, demonstrates how cognitive robots can support manual workstations in an advanced warehouse environment. Here, the humanoid robot 4NE1 was trained with Sartorius products in NEURA Robotics鈥� lab. The solution builds on an 麻豆原创 S/4HANA migration and 麻豆原创 Extended Warehouse Management (麻豆原创 EWM) rollout in May, which established the foundation for leveraging the latest capabilities from 麻豆原创.

The result boosts efficiency and enhances operational resilience. 鈥淲e鈥檙e really happy to help spearhead this new age together with 麻豆原创 and NEURA,鈥� Steffen Dietz, manager of Business Process Management in Operations and Supply Chain at Sartorius, shared.

Robotics company partners

Building upon these successes, 麻豆原创 announced the following additional partnerships:

AgiBot

Agibot creates general-purpose embodied robot products and an application ecosystem. The company delivers a complete product portfolio and deploy across all major application scenarios.

“Our 麻豆原创 partnership transforms industrial automation by combining humanoid capabilities with enterprise intelligence that understands business context,” said Peng Zhihui, founder of .

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ANYbotics

ANYbotics provides a full-stack autonomous inspection solution that combines autonomous robotics with inspection intelligence.

“Integrating this continuous flow of inspection intelligence with 麻豆原创 makes operations not only autonomous but truly intelligent, where issues are predicted, understood, and prevented before they affect production,鈥� said Dr. P茅ter Fankhauser, CEO and co-founder of .

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Apptronik

makes AI-powered humanoid robots designed to collaborate thoughtfully with humans, initially in critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

Today, Apptronik鈥檚 flagship robot, Apollo, excels at flexible work in dynamic environments, supporting industrial tasks like warehouse picking, placing, and material handling while adapting to changing demand on the floor. With 麻豆原创鈥檚 business context guiding every action, these humanoid robots can execute warehouse tasks with the right priorities at the right time so automation stays aligned with real operational needs.

Booster Robotics

Booster Robotics provides T1 humanoid robots for warehouse operations and field maintenance.

“Our humanoid platforms, with 麻豆原创’s intelligence, creates an adaptive automation foundation that understands business processes and operational context,” said Cheng Hao, CEO of .

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Boston Dynamics

delivers mobile robots for industrial inspection and safety monitoring, enabling autonomous patrols, anomaly detection, and rapid incident response across large-scale facilities.

By connecting robots鈥� real-time site awareness with 麻豆原创鈥檚 enterprise intelligence, organizations can turn inspection data into safer operations and faster, more informed decisions.

Galbot

Galbot’s fully autonomous, general-purpose humanoid robots have been deployed across a wide range of applications, including industrial, logistics, retail, and healthcare sectors. Powered by proprietary vision-language-action models, the Galbot G1 autonomously performs complex tasks such as precise parts sorting, industrial bin handling, and end-to-end pharmacy operations. These models enable Galbot robots to rapidly adapt to dynamic environments, ensuring high precision and efficiency even in challenging real-world conditions.

“Our collaboration with 麻豆原创 marks a key milestone in transforming how robots understand and operate within enterprise environments. By integrating business context awareness into our robots, we’re creating automation that seamlessly adapts to shifting operational priorities in real time,” said He Wang, founder and CEO of .

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Humanoid

Humanoid offers reliable HMND 01 humanoid robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

“麻豆原创’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation,” said Artem Sokolov, founder and CEO of .

RobotEra

develops humanoid robots designed for enterprise operations and, together with 麻豆原创鈥檚 embodied AI, enables robots to execute end-to-end 麻豆原创 EWM workflows鈥攆rom material verification and visual inspection to exception handling鈥攇uided by real-time business context.

By integrating 麻豆原创鈥檚 operational intelligence with RobotEra鈥檚 humanoid robotics platform, customers can enable automation that understands warehouse priorities, handles exceptions, and completes 麻豆原创 EWM tasks with enterprise-grade reliability.

Unitree Robotics

Unitree Robotics provides advanced quadruped Go2 robots for warehouse navigation and asset inspection, plus G1 humanoids with human-like dexterity for logistics operations, alongside industrial B2 models for outdoor facility maintenance.

“麻豆原创 embodied AI agents will revolutionize enterprise autonomous operations from warehouse management to predictive maintenance across facilities,” said Wang Xingxing, CEO and founder of .

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Robotics enablement partners

麻豆原创 also introduced the following robotics enablement partners to connect humanoid and mobile robots, optimize intralogistics, streamline inspections, and orchestrate physical assets enabled by 麻豆原创 Business AI and automation technologies:

Accenture

partners with 麻豆原创 to advance physical AI for enterprise operations, helping organizations connect digital business processes with autonomous execution.

The collaboration brings 麻豆原创鈥檚 process and data intelligence together with Accenture鈥檚 expertise in robotics, digital twins, and operational transformation to support use cases such as inspection, risk detection, and workflow optimization.

Aimbo AG

delivers the industrial embodied AI deployment Middleware that connects enterprise software with robotic execution. The company鈥檚 vision is to build robust, closed-loop system capabilities spanning models, data, evaluation, and deployment.

True value for industrial leaders lies not in a powerful model alone, but in a reliable system that integrates deeply into the factory鈥檚 operations, continuously creating production value and improving with every cycle.

Capgemini

Capgemini explores the value that can be derived from the convergence of advanced technologies such as agentic and multi-agent AI systems, humanoid robotics, reinforcement learning, spatial computing, real-time 3D environments, and conversational AI. and 麻豆原创 are jointly exploring physical AI to help organizations gain a competitive edge.

Cyberwave 

Cyberwave聽connects 麻豆原创 systems to the physical world through its physical AI platform, which integrates robots, sensors, and digital twins into enterprise workflows.

鈥淭ogether with 麻豆原创, Cyberwave turns enterprise data into coordinated physical action鈥攂ridging the gap between digital intelligence and real-world operations through physical AI,鈥� said Simone Di Somma, founder of .

FairConsult 24|7

partners with 麻豆原创 to deliver embodied AI-enabled warehouse execution, combining 麻豆原创鈥檚 business context-driven task intelligence with FairConsult 24|7鈥檚 fleet management system to orchestrate enterprise-connected robotic operations.

Together, they unite 麻豆原创鈥檚 real-time operational priorities with fleet-level control, enabling robots to execute warehouse tasks with transparency, governance, and measurable performance.

Fujitsu

brings physical AI and visual intelligence capabilities through its Amalgamation AI offering, enabling intelligent image processing and data extraction that can be deployed to edge devices including cameras and robots.

Together with 麻豆原创, Fujitsu’s AI-driven visual capabilities integrate with 麻豆原创’s agent-based workflows to capture and validate real-world inputs鈥攕uch as vehicle identifiers in automotive inspection鈥攄irectly within 麻豆原创 systems for downstream business processing.

HCLTech

HCLTech provides automation expertise through its AI Force platform and 麻豆原创 integration capabilities, leveraging in collaboration with 麻豆原创 to accelerate generative AI-led robotics solutions.

“Our collaboration with 麻豆原创 enables cognitive robotics to seamlessly integrate with enterprise systems, transforming business operations through automation,” said Vijay Guntur, CTO and head of Ecosystems at .

KINEXON

KINEXON brings physical AI to day-to-day material flow management, helping customers scale mixed-fleet operations with a vendor-agnostic orchestration platform for autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and manual vehicles.

“Our collaboration with 麻豆原创 infuses business-driven agentic reasoning into real-world material movement planning and execution, maximizing utilization and throughput,” said Dr. Alexander Huettenbrink, co-CEO of .

LG CNS

, a South Korea鈥揵ased IT and AI transformation company with presence across Asia, partners with 麻豆原创 to deliver AI-driven enterprise transformation.

Combining 麻豆原创鈥檚 business context and application intelligence with LG CNS鈥檚 PhysicalWorks, a robot training and multi-vendor robot orchestration and control platform, the collaboration, starting with PoC initiatives, enables AI-driven automation and optimization using real-time data across business processes.

Lighthouse

Lighthouse transforms business complexities into streamlined digital solutions, leveraging expertise across 麻豆原创 Intelligent Asset Management, 麻豆原创 Business AI, and 麻豆原创 BTP. 

鈥淓mbodied AI has huge potential for use cases, including asset and site inspection, health and safety, and quality inspection to deliver more resilient, flexible operations. We see major customer needs today, such as hazardous environments on offshore platforms in the oil and gas industry, utilities, and transportation,” said Urs Gehrig, managing director of Business Development at .

valantic

and 麻豆原创 are partnering to bring embodied AI to real-world operations. By merging 麻豆原创鈥檚 context-driven orchestration with valantic鈥檚 integration expertise, they enable high-precision, automated asset inspections. This collaboration transforms insights into immediate, coordinated action, ensuring safer operations, stronger compliance, and reliable asset performance. It’s embodied AI, made practical.

Through these strategic alliances, 麻豆原创 continues to lead the evolution from traditional robotic tools to those that empower autonomous operations, informed by deep business context.

To explore how 麻豆原创 technology makes proofs of concepts possible in robotics, explore the . To get involved in 麻豆原创’s Embodied AI initiative, .

Dr. 艁ukasz Ostrowski is head of Embodied AI and Robotics at 麻豆原创.

At 麻豆原创, we鈥檙e collaborating with鈥疦EURA Robotics鈥痑nd鈥疦VIDIA鈥痶o bring this future to life. Our goal is to make鈥痯hysical AI鈥痑 reality for businesses across industries. By combining鈥槎乖粹�檚 business process intelligence,鈥疦EURA鈥檚 cognitive robots, and鈥疦VIDIA鈥檚 Omniverse Platform, we鈥檙e enabling a new class of鈥痑utonomous physical agents鈥痶hat connect enterprise systems to real-world action.

A convergence of intelligence, simulation, and execution

This next evolution of enterprise automation requires more than just robotics or AI in isolation. It鈥檚 about orchestrating data, reasoning, and motion end-to-end.

• 麻豆原创鈥檚 Joule Agents, underpinned by 麻豆原创 Business AI, serve as the cognitive layer, understanding enterprise context and directing workflows.
• Mega NVIDIA Omniverse Blueprint鈥痚nables teams to simulate and refine agent behavior in complex, realistic operational scenarios鈥攂efore deployment.
• NEURA鈥檚 cognitive robots鈥痶hen execute these tasks in the real world, with the ability to perceive, decide, and adapt as environments shift.

This tight integration creates a loop of鈥痗ontinuous learning where each real-world action generates feedback to retrain and improve the performance of both agents and robots.

Real use cases, real value

This isn鈥檛 a future vision鈥攊t鈥檚 already happening. Early adopters are applying this innovation in鈥痬anufacturing,鈥痳etail, and鈥痩ogistics, where traditional automation falls short. For example:

• Autonomous mobile robots (AMRs)鈥痗an handle multi-step inventory tasks in dynamic retail environments.
• Cognitive robots can assist with equipment inspections and repairs, reducing downtime in asset-intensive industries.
• Physical agents can orchestrate movement of goods and materials in complex supply chains, all while staying connected to 麻豆原创 core systems.

The result: faster execution, safer operations, and intelligent adaptation to real-world variability.

A shared vision to transform industry

Each partner in this collaboration brings a unique capability鈥攁nd together, we鈥檙e enabling more than any one of us could alone.

鈥淲e are proud to bring the power of our cognitive robots into the partnership with 麻豆原创 and to jointly take the next step towards automating real-world tasks,鈥濃�痵aid鈥疍avid Reger, CEO of NEURA Robotics.鈥�淭ogether, we are redefining what is possible and creating solutions that truly serve humans and transform industries.鈥�

鈥淲ith the Mega NVIDIA Omniverse Blueprint, enterprises can test and validate mixed robot fleets at scale, bridging the gap between digital simulation and reliable physical-world implementation,鈥� said鈥疢ike Geyer, head of digital twins at NVIDIA.

This vision aligns closely with 麻豆原创鈥檚 mission to help the world run better and improve people鈥檚 lives鈥攏ot just through better software, but by connecting data, intelligence, and physical action. The collaboration reflects a bold step forward: turning digital intelligence into鈥痑utonomous execution at the edge, guided by business context and enterprise processes.

Looking ahead

The fusion of business AI, simulation technology, and cognitive robotics opens a new frontier鈥攚here enterprises can confidently extend automation beyond digital workflows into the physical world.

By shaping this new category of鈥痯hysical AI agents, 麻豆原创, NVIDIA, and NEURA Robotics are enabling businesses to reimagine what鈥檚 possible by creating a future where AI doesn鈥檛 just make decisions but also brings them to life.

With TUMO, provided 22 innovation challenges to explore emerging technologies and concepts, each associated with : augmented extended planning and analysis (xP&A), augmented access control, future of self-service, and future of asynchronous work. 麻豆原创 Innovation Center Network focuses on exploring new technologies through use cases to solve future problems. Innovation is an ongoing process that needs not only curiosity and determination but also inventive ideas and out-of-the-box thinking. It was precisely this fresh thinking and unusual approaches that made working with the TUMO students so interesting for both sides.

鈥淔or me, it was a great experience working with artificial intelligence (AI) and natural language processing, with the help of which we were able to find interesting insights from user conversations,鈥� said Sasun Tadevosyan, one of the five students developing the chatbot. 鈥淔urther research and improvements will help to create a virtual assistant to automate routine work.”

Sasun and her team built the chatbot as part of the challenge. Here, the students were asked to explore how user contextual data and the concept of human digital twins can be leveraged in a privacy-preserving, predictive manner to improve access control and authorization experiences. A digital twin could eventually help humans anticipate these access requirements and gather the necessary information to facilitate access, increasing productivity and enabling quicker business decisions.

For their chatbot, Sasun and team evaluated chat messages between two users who want to organize a meeting and extracted insights about meeting details using a rule engine. The chatbot helps set up the call and automatically creates authorizations and access to the meeting as well as relevant documents that will be shared.

This is a great example of how digital assistants can make life easier by automating daily routines, like in this case scheduling a meeting and making sure everyone has the necessary access rights to collaborate more easily.

During the four months, experts from 麻豆原创 Innovation Center Network monitored the progress of all challenges and were in constant exchange with the participants to support if needed. Apart from solving the challenge, working with TUMO Labs experts helped strengthen the students鈥� soft skills, and support from 麻豆原创 University Alliances provided all students with access to 麻豆原创 learning resources.

鈥淲e learned to work as a team and under pressure. We got problem-solving, creative and critical thinking, and public speaking skills,鈥� recapped the team around Ani Galstyan that worked on the future of asynchronous work.

This group of five students was challenged to examine how digital avatars are used in various fields today. They created a Web site to showcase different possibilities to implement digital avatars in different fields such as business, the gaming industry, and the military. Plus, they added features to help users create their personal avatar. During their research, Ani and team learned how digital avatars can be a valuable addition in healthcare, as they could eventually lead to a more holistic understanding of the human body to predict and prevent possible side effects before working with real human beings.

After working on their projects, the students presented their outcomes at a in April in front of 麻豆原创 and TUMO experts as well as 麻豆原创 customer ACBA Bank and partners.

Bahareh Fatemi, Head of TUMO Labs, said in : 鈥淲e鈥檙e super excited with working with the 麻豆原创 Innovation Center Network! Having these sort of collaborations internationally for us is very important because it will allow us to understand where we can improve and where we can push our students to adapt and get more skills.鈥�

Plans are already underway to continue working with 麻豆原创 Innovation Center Network on additional innovation challenges, further explore emerging topics, and provide opportunities for more students to participate.

鈥淭hat was a great experience for us to explore AI avatars in different fields,鈥� concluded Ani after participating in the project. 鈥淲e are looking forward to seeing new developments in the future as we are going through technological improvements nowadays.鈥�

Lukasz Ostrowski is a development manager for 麻豆原创 Innovation Center Network.
Igor Belousov is global content delivery director and country manager of Italy, Turkey, and CIS for 麻豆原创 University Alliances.