Your partner in the development, acquisition, management/maintenance, and operation of self-driving last mile transportation and delivery robots.
We help you bridge the gap between (1) your last-mile transportation needs on the one hand and (2) actually implementing robots in practice on the other hand. In developing self-driving last-mile transport, we act as a strategic knowledge and operating partner for public/regional transport authorities, public transport companies, and end users such as hospitals and vacation parks.
Our wide-ranging knowledge and experience
Our partnerships for self-driving last-mile transportation and logistics solutions include performing a quick scan of possible alternative forms of last-mile solutions in existing public transportation networks or in specific logistics chains, developing customized use cases for specific areas and/or users, bringing together the right technology and financial resources, and finally working with you as operating partners. We have extensive knowledge of the latest technological capabilities and available suppliers, the most relevant market and regulatory trends, and the best methods for optimizing use cases and customer service. In doing so, we work with standard methodologies to get the robots on the road safely and responsibly.
Dutch Automated Mobility is a company founded in collaboration with The Future Mobility Network and Rebel Automated Shuttles. By combining the different areas of expertise that both parties have, DAM was created. A powerful collaboration focused on realization.
The strength of The Future Mobility Network (FMN) lies in looking technologically at the future of mobility. A team and network of scientists, engineers, urban planners, and behavioral scientists come together in this effort.
Using the triple helix approach of research, field lab testing, and market scaling, FMN puts theory into practice through a learning-by-doing approach to developing innovative mobility. Bringing together relevant stakeholders, organizing field labs, and scaling the product to market are key steps in the formula. In addition, FMN specializes in processes with the RDW and other government parties to achieve the actual realization of these systems on public roads.
Rebel Automated Shuttles (RAS) specializes in the business and organizational developments of autonomous vehicle use cases. We help clients bridge the gap between last-mile autonomous vehicle transportation needs and plans on one hand, and implementation and funding sources on the other.
Building on RebelGroup's financial and strategic expertise, RAS has a deep understanding of the cost and operational characteristics of autonomous vehicle technology options, the most relevant market and regulatory trends, and the best organizational strategies for use case implementation with a focus on serving end customers.
As partners, FMN and RAS, combine research and practical experience whereby through our proven, structured approach and long-term vision, autonomous vehicles accelerate to market. Crucially, FMN and RAS are 100% vendor-neutral. We have in-depth knowledge of current OEM capabilities and always try to select the technology proposition that is best suited for your specific use case. This supports long-term success and the best outcomes for all stakeholders.
We believe that the use of polluting individual modes of transport such as gasoline cars can be reduced by encouraging the use of green autonomous modes. This reduces emissions, which has a positive effect on the environment.
We are very driven and passionate about the operation and implementation of autonomous vehicles in public spaces because we believe in the autonomous future. Therefore, we strive to make it a reality today. We do this through the following services we offer:
We have unique and unparalleled experience implementing various solutions, not as trials, but as regular service solutions. Using this experience, we can help you smooth implementation processes for specific solutions.
What are the technical, financial, and transportation-related implications of implementing self-driving transportation? We help you identify all the costs, benefits, and risks.
If necessary, we work with you as an operating service partner to provide services of unparalleled quality every day in self-driving solutions such as self-driving shuttles and delivery robots.
We can help you ensure that the technology being procured and deployed is the most suitable for you and is delivered on the right terms. If necessary, we also support financing. After all, as your partner, we are also prepared to do our bit.
Are you interested in the projects we do or are you curious if we can help you with an upcoming project? Then please feel free to contact us and we will discuss the possibilities.
Below you will find several articles and publications related to Dutch Automated Mobility.
The Elmo shared car involves a shared car that is remotely controlled and delivered to the doorstep. Through an app, the hirer can order the shared car, after which it drives to the hirer, without a driver. A specially trained and certified remote driver takes the car to the desired starting location. After getting in via the app, the tenant can leave independently. Upon arrival at the final destination, the car is left behind, after which the vehicle is driven to a car park or shared mobility hub. The aim is to make cities cleaner, safer and more liveable, with the car a less dominant presence in public spaces. Research shows that cars are often used inefficiently and idle almost 90% of the time. There is room for improvement here. Statistics indicate that one shared car can replace up to 5 to 6 private cars in the city. Having the shared car come to the renter, rather than the other way around, facilitates usage significantly, resulting in a more inclusive service. At the same time, the shared car is less likely to be idle on the street and takes up less space, making more efficient use of limited city space. This promotes mobility and optimises the use of available space in the city.
The face of holiday park services in the Netherlands is changing as visitors at Landal GreenParks now find a robot welcoming them among the staff. Since joining the team in November, Clevon's delivery robot has supported the parks team by delivering and collecting linen to and from the recreation homes in the holiday park. For a long time, Landal GreenParks has been working on introducing robots with innovative features to make work easier, better and more fun. They can also increase guest satisfaction and relieve employees from work. For example, robots have already been successfully implemented in the holiday provider's restaurants to support service staff. The new robotic team member, affectionately nicknamed 'Lotte' by Landal's staff, offers a glimpse into the future of hospitality services where technology enhances human interaction rather than replacing it. 'Our world is seeing more and more innovative technology solutions that make life easier. The digital key in the Landal app enables our guests to access their accommodation and the swimming pool and also book the restaurant and other activities directly. And robots make work easier for employees in many of our restaurants,' says Landal GreenParks COO Jeroen Mol. 'Every year, we receive around 3.2 million guests who spend around 15.6 million nights with us. This brings both opportunities and challenges. With these self-driving delivery robots, we're introducing further innovative solutions that make guests stays easier.' From delivering fresh linens directly to guest accommodations to transporting groceries and tools upon request, the robot ensures a smooth and efficient service that allows park staff to focus on providing a more personalized guest experience. Dutch Automated Mobility (DAM) is an expert in the field of self-driving technology and plays an important role in integrating the robot into the holiday park's existing infrastructure. 'The advanced technology of the Estonian manufacturer and supplier Clevon and its knowledge of autonomous vehicles fits seamlessly with our mission to create efficient and safe self-driving solutions for the future,' says Alwin Bakker, CEO of DAM. 'Our robots are a new step in making holiday parks more welcoming and efficient. They do various jobs, from delivering packages to helping out with services, allowing staff to focus on what's important, the guests. This is just the beginning. We're planning to bring this innovation to more parks across Europe with the aim of deploying a fleet of up to 500 robots, enhancing our service in a smart, eco-friendly way,' says Sander Sebastian Agur, CEO of Clevon. Both parties are confident that this collaboration will lead to further innovations in holiday park services. The pilot project actively collects feedback from guests and monitors the robot's performance, aiming to advance the use of autonomous technology in the park's daily operations.
Students of the LDE (Leiden Delft Erasmus) minor have been researching the delivery robot Rosie that DAM has put into operation on the Erasmus Campus. They took Rosie as an example case study, but the learning questions to be answered concern delivery robots in other locations as well. The predetermined learning questions were drawn up jointly with the Municipality of Rotterdam and the MRDH. Based on various learning questions, this research was drawn up. This research was conducted specifically on the relevant learning questions regarding the behavior and acceptance of people on a delivery robot on the Erasmus University campus and beyond. Learning questions: ● To what extent can delivery robots be accepted by Dutch residents? ● How can delivery robots be implemented in the Netherlands? The sub-questions below answer those learning questions: ● How do social demographic characteristics influence how delivery robots are accepted? ● Does familiarity with delivery robot technology affect people's level of acceptance? ● What are the most promising areas for deploying delivery robots? ● How do delivery price and delivery distance influence the decision to use delivery robots? The method by which these sub-questions were examined was by survey and desk research. For example, citizens were approached to give their opinions in terms of user acceptance, with a total of more than 200 respondents. What emerged from this is that price and distance are important factors in the use and success of delivery robots. When price increases, demand will decrease, but when distance increases, demand actually increases. The accepted price depends on the distance the delivery robot had to travel. The acceptance of delivery robots among citizens can be improved by showing them the robot in operation in real life. It is also recommended that more different locations be analyzed and examined in practice, such as industrial estates and buildings with elevators. An important piece of advice is not to travel too short distances in outlying areas with the delivery robot so that people see the benefit of it. More research will need to be done on why certain socio-demographic target groups do or do not accept delivery robots. The current population has not been diverse enough, due to a high percentage of students. As a result, no direct generalization can be made to all citizens of the Netherlands regarding acceptance.
Minor students from the Rotterdam University of Applied Sciences researched the social environment and technical aspects of the autonomous delivery robot Rosie, specifically at Erasmus University, and how we can learn from this for future implementations. This research was done using the following sub-questions: ● What does SPAR's current delivery process look like and what are the difficulties identified for those on campus? ● To what extent can delivery robots replace current delivery services? ● How does the delivery robot interact with the social environment? ● What are the potential risks and obstacles to implementing delivery robots and how can we mitigate them? On the Erasmus campus, observations were made of delivery service Rosie. In addition, surveys and interviews were conducted on people's experiences on campus with the delivery robot. The study revealed that delivery robots may create stronger customer loyalty between SPAR and campus goers due to the fact that there was no delivery service before. This can be deduced from the growing number of orders over the months. When the technical aspects of the delivery robots are functioning optimally, it appears that the delivery robots have the potential to replace other delivery services in the Netherlands. After some time in the pilot, the safety operator was removed, as it proved unnecessary when Rosie was sufficiently safe. People see this form of delivery with delivery robots as an opportunity to make up for the shortage of delivery drivers and to continue making deliveries safely during a period with Covid. People are willing to pay for this delivery service when it provides convenience, as this is also common with other delivery services. Different age groups and types of locations will need to be investigated to obtain more stable and accurate data on the acceptance and performance of delivery robots among citizens.
Here you can see a teaser of the report, click the button below to request the full report free of charge!
Here you can see a teaser of the report, click the button below to request the full report free of charge!
Here you can see a teaser of the report, click the button below to request the full report free of charge!
Here you can see a teaser of the report, click the button below to request the full report free of charge!
Here you can see a teaser of the report, click the button below to request the full report free of charge!
Here you can see a teaser of the report, click the button below to request the full report free of charge!
The list below shows the autonomous projects completed. As you can see, the projects have been successfully implemented in many different (types of) environments.
The DAM team is made up of Alwin Bakker (CEO of The Future Mobility Network) and Robert Boshouwers (CEO of Rebel Automated Shuttles). Together they form a strong team that wants to make a difference in the built environment from Dutch Automated Mobility.
If you have any questions please feel free to get in touch!
If you have any questions please feel free to get in touch!
If you have any questions please feel free to get in touch!
If you have any questions please feel free to get in touch!
We can play different roles in Use Cases as well, namely as an advisory partner and as an implementation partner. We can also act as a knowledge partner in knowledge sharing. But above all, we help implement self-driving systems safely and responsibly.
To establish a successful use case, it is critical to be up with all technologies and system innovations. Examples include:
Drive trains • Software • HD Maps • Engineering • Sensors • Hardware • Positioning
This is the distinguished field of activity of The Future Mobility Network
To establish a successful use case, it is also very important to establish business & organizational models. Examples include:
Governments • Financial • Transportation companies • Shopping malls • Legislation • PT concessions • Airports
This is the distinguished field of activity of Rebel Automated Shuttles
From the demand for Last-mile user service, the necessities and the implications of these necessities must be considered.
Our perspective is to bring together the various disciplines of technology and system innovations, business & organizational models, and Last-mile user service requirements to create an integrated project.
In our roadmap, we explain the different successive steps that are followed to get from the start of the project to the final result.
In addition to our services such as feasibility studies and implementation and operation of autonomous connections, we also have a knowledge-sharing department. We implement this knowledge-sharing according to the following principles:
Through our 'hands-on' experience of actually implementing autonomous connections, we have gained a lot of experience on how to actually implement such a project in the public environment. We then share these experiences through consultancy meetings.
The starting point for learning is to define learning needs (knowledge questions/knowledge agenda) to achieve the goals.
We collect and develop knowledge by experimenting in Research Labs, Fieldlabs, and Living Labs. We make knowledge explicit and collect and preserve international research papers, presentations, roadmaps, etc.
We monitor, participate evaluate and create explicit lessons learned and best practices. We also organize learning workshops.
We have developed a master class on automated public transportation and have maintained an extensive library of knowledge documents since 2014 that is constantly expanding.
We define new research based on roadmaps and challenges we define. Similarly, we work closely with knowledge institutions in co-funded EU programs to always keep learning.
Are you interested in the projects we do or are you curious if we can help you with an upcoming project? Then please feel free to contact us and we will discuss the possibilities.
Wijnhaven 23, 3011 WH, Rotterdam
+31 0614184366
+31 0650854656
Are you interested in the services we offer or are you looking for more information? Please feel free to contact us to talk further.
You can also reach us on our social media, where you can follow our process of implementing future-proof mobility.