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Established in 2019, Clearbot started off as a student project to to help Indonesian surfers clean up waterways efficiently. Join Clearbot as we develop smarter technology for cleaner oceans. At Clearbot, we believe Tech talent does not limit itself to our region, and neither should we. At Clearbot, we give employees the freedom to work in a way that suits them: whether that's deciding the pace of their work, the order of task completion and having more control over job tasks, or even the freedom to decide when and where they do their work. At Clearbot, we work with reputable brands from all over the world in different capacities. Clearbot Neo is the most inexpensive way to clean trash, oil, and invasive weeds while running on electric power. Clearbot Neo is a great option for organizations looking for a cost-effective and environmentally friendly way to clean up waterways. Clearbot can be used for surveys and rescue operations.
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Featured
Home | Clearbot
... A autonomous swarm robotics system to clean our ...
Berlin, Germany
1-10 Employees
2020
We are a team of engineers and scientists dedicated to unlocking the mysteries of the universe through cutting-edge hardware and software. We Deliver Exceptional Products and Services Around the Solar System. With HiveR, we provide the mobile robot for your individual payload needs. Our HiveR platform is a novel, modular, and flexible solution for moon rovers that can be transferred for use on Earth. Our innovative HiveR platform is a game-changer in the field of space exploration. NEUROSPACE has formed partnerships with leading companies and organizations in the space exploration industry. These partnerships enable us to leverage cutting-edge technology and expertise to advance our mission of exploring the universe. Join our team of innovative engineers and scientists who are dedicated to advancing the field of space exploration.
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Featured
INTERPLANETARY SWARM ROBOTICS
... INTERPLANETARY SWARM ROBOTICS ...
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Medicinal Robotic Swarm
... Medicinal Robotic Swarm ...
Basingstoke and Deane, United Kingdom
11-50 Employees
2018
hyperTunnel is an Infratech start-up developing a radical new method of tunnelling. We aim to build tunnels faster, safer, cheaper and more environmentally-friendly by applying proven technologies from other industries to redefine what is possible. By dramatically reducing the cost of tunnels, we hope to realise new possibilities to meet global demand for increased, yet more sustainable transportation solutions. The hyperTunnel concept was devised by businessmen Steve Jordan and Jeremy Hammond. They concluded current tunnelling methods were prohibitively expensive when designing a tidal energy project.
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Transforming underground construction through AI, Machine Learning and Swarm Robotics
... Transforming underground construction through AI, Machine Learning and Swarm Robotics ...
Tallinn, Estonia
11-50 Employees
2005
Marvelmind Robotics participates in the Plug and Play Japan accelerator and wins the first prize during the Demo Day for the companies in the IoT cluster. Marvelmind Robotics wins the first prize at Slush Shanghai pitching competition. Marvelmind Robotics was founded in Helsinki, Finland, as an autonomous robotics company for universities and researchers. For larger projects we are ready to supply white-label products. We are happy to teach our partners and customers how to build and operate the system most efficiently. We design, manufacture, and sell autonomous robots and robotic systems for logistics, factory automation, research, and many other fields. First commercial deliveries of Precise (±2cm) Indoor “GPS”. Precise RTLS for various applications: autonomous robotics, vehicles, drones, manufacturing, logistics, safety.
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Precise (±2cm) indoor positioning system - Marvelmind Robotics
... Swarm Robotics ...
Wageningen, Netherlands
1-10 Employees
2018
We are a dynamic team of dedicated professionals, each bringing unique expertise and passion to our work. Together, we are committed to delivering top-notch solutions and forging lasting relationships. We provide camera-controlled weeding systems, drone-based crop monitoring, tree-specific orchard management, optical sorting of food products, and much more. Track32 is an enthousiastic team specializing in AI-based computer vision software. Committed to innovation, Track32 enhances efficiency, sustainability, and profit across many agricultural and industrial sectors. We perform custom project work as well as standardized product development, ensuring both flexibility and scalability. We pride ourselves on building strong relationships with trusted partners and customers, who provide market access, hardware integration and software integration. So that we can focus on the computer vision software.
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Weed mapping drones – Track32
... In 2016-2017, we contributed to the development of drones, for the detection and mapping of weed populations in agricultural fields – to enalbe precision weed control (SAGA project – Swarm Robotics for Agricultural Applications). Topics included weed detection and cooperative ...
Pasadena, United States
11-50 Employees
2016
We are challenging what hasn’t worked and are building on what has. Ultimately, OffWorld robotics is the key to generating the resources and building the off world infrastructure necessary to accelerate the expansion of human civilization beyond Earth. We are launching safer, more effective, and eco-friendly solutions to mining. OffWorld robots pave the future by working collectively to maximize the customer-defined key performance indicators in mining operations. OffWorld has and continues to work with leaders in both the mining and space industries. We are designing a robotic platform with a broad set of environments, industries, and tasks in mind. Our swarms of smart robots are dramatically accelerating innovation in mining, processing, manufacturing, and construction. Introducing robots built on a proprietary universal AI-powered platform brings multi-robot swarm behaviors and collective intelligence to several industries.
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Solutions | OffWorld
... SWARM ROBOTIC ...
Melbourne, Australia
1-10 Employees
2019
Unmand provides you with everything you need to automate your business. Unmand's Robotic Process Automation (RPA) software can handle the most complicated workflows, while keeping you in control. Integrate directly with your existing systems using their online interface, our pre-built integrations, or defining your own custom API calls. Whether it's a prebuilt solution or starting from scratch, the Unmand platform allows you to quickly automate the most time-consuming processes within your specific industry domain. This allows enterprises to focus on what matters and automate the rest. The inbuilt analytics also provide users with a comprehensive overview of your most important business and technical KPIs across processes and your workflows. The platform has been built to comply with the most demanding data security standards and integrate with existing enterprise applications with pre-packaged connectors and APIs.
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Unmand Swarm | End to end robotic process automation software | Unmand
... Unmand Swarm | End to end robotic process automation software | ...
Malvern Hills, United Kingdom
11-50 Employees
2012
D-RisQ is the trading name of Drisq Limited (regd.
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D-RisQ | About | UK | High Tech | Aerospace & Defence | Marine | Automotive | Autonomy | Robotics | Cyber | Swarms | Complex Systems | Agile Development
... D-RisQ | About | UK | High Tech | Aerospace & Defence | Marine | Automotive | Autonomy | Robotics | Cyber | Swarms | Complex Systems | Agile ...
Aberdeen City, United Kingdom
11-50 Employees
2016
We are a not-for-profit organisation working with industry, government and academia driving technology innovation to accelerate the energy transition to net zero. We are a not-for-profit organisation driven by our mission to accelerate the energy transition to net zero. We are committed to helping Scotland, the UK and other countries around the world achieve their net zero ambitions, as well as contributing to economic growth and energy security. We are co-investing and collaborating with industry and government to develop and deploy new technologies. We are propelling clean energy start-ups to commercialisation and beyond through our TechX programmes. Our advisory solutions provide industry and investors with insights and foresight on current and emerging technologies. There is a faster route to net zero.
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Net Zero Technology Centre
... Hydromea – Autonomous Underwater Swarm Robotics ...
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Some interesting numbers and facts about the results you have just received for Swarm Robotics
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 9 |
| Amount of suitable service providers | 6 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1991 |
| Youngest suiting company | 2020 |
Swarm robotics is a field of multi-robotics that emphasizes the design, operation, and coordination of numerous robots in a decentralized manner, drawing inspiration from the natural phenomena observed in biological swarms such as ants, bees, and birds. This approach leverages simple robots, which individually possess limited capabilities, to collectively achieve complex tasks and objectives through local interactions among themselves and with their environment, without relying on a central control system. The fundamental principles of swarm robotics are rooted in the concepts of self-organization, scalability, flexibility, and robustness, enabling the swarm to adapt dynamically to changing conditions and to efficiently solve problems that are beyond the capability of a single robot. By mimicking the collective behavior of natural swarms, swarm robotics aims to create systems that can perform a variety of tasks, from environmental monitoring and search-and-rescue operations to agricultural activities and complex assembly processes, with increased efficiency and resilience. The impact of swarm robotics within its field is significant, as it offers innovative solutions to challenges that require high levels of reliability and adaptability, thereby pushing the boundaries of what can be achieved through collaborative robotic systems and opening new possibilities for automation and technology development across diverse industries.
1. Scalability:
Swarm robotics systems are inherently scalable, allowing for the addition of more robots to the swarm without significant changes to the individual robots or the overall system architecture. This flexibility enables the system to handle tasks of varying sizes and complexities efficiently.
2. Robustness:
The decentralized nature of swarm robotics enhances the robustness of the system. Since each robot operates independently but also communicates with its peers, the failure of a few robots does not cripple the entire system. This redundancy ensures that tasks can still be completed even in the face of individual malfunctions or damage to some robots.
3. Flexibility:
Swarm robotics systems are highly adaptable to different environments and tasks. Through simple rules and local communication, the swarm can reconfigure itself for a variety of tasks without the need for extensive reprogramming. This makes swarm robotics ideal for applications in changing or unpredictable environments.
4. Cost-effectiveness:
Individual robots in a swarm can be relatively simple and inexpensive to produce, especially compared to more complex autonomous systems designed to perform tasks independently. The cost savings on hardware, combined with the scalability and robustness of the system, make swarm robotics a cost-effective solution for a wide range of applications.
5. Distributed Problem Solving:
Swarm robotics excels at distributed problem solving, where tasks are divided and conquered by multiple robots working in parallel. This approach can significantly speed up task completion times and increase efficiency, especially in search and rescue operations, environmental monitoring, and agricultural tasks.
While evaluating the different suppliers make sure to check the following criteria:
1. Technical Expertise and Experience
Ensure the supplier has a strong background in robotics, with specific experience in swarm technology. Their portfolio should demonstrate successful implementations of similar systems.
2. Scalability
The supplier should offer solutions that are easily scalable to meet growing or changing needs, without significant additional costs.
3. Customization
Check for the ability to customize the robots and software according to your specific requirements. This includes both hardware modifications and software algorithms.
4. Integration Capabilities
The supplier’s systems should be capable of integrating seamlessly with your existing infrastructure, including software platforms and other robotics systems.
5. Support and Maintenance
Look for suppliers who provide comprehensive after-sales support, including maintenance, updates, and technical assistance, to ensure the longevity and efficiency of the system.
6. Innovation and Research
A supplier actively engaged in research and development is likely to offer more advanced and efficient solutions, keeping you at the forefront of swarm robotics technology.
7. Cost-effectiveness
While not compromising on quality, the supplier should offer competitively priced solutions that provide a good return on investment.
Swarm robotics, a field inspired by the collective behavior of natural systems such as ants and bees, is paving the way for innovative solutions across multiple industries. In the agricultural sector, swarm robotics is revolutionizing the way we approach farming and crop management. Teams of small, autonomous robots work collectively to perform tasks such as planting, weeding, and harvesting. This not only increases efficiency and productivity but also significantly reduces the environmental impact compared to traditional methods. In the manufacturing industry, swarm robotics introduces a new level of flexibility and efficiency in production lines. These robots can autonomously coordinate with each other to optimize manufacturing processes, adapt to changes, and perform a variety of tasks without human intervention. This capability is especially valuable in environments that require high precision or are hazardous to human workers. Furthermore, in logistics and warehouse management, swarm robotics is transforming operations through the automation of inventory management, sorting, and transportation of goods. This system enables businesses to significantly reduce operational costs and improve accuracy and speed, thus enhancing overall supply chain efficiency. Lastly, in environmental monitoring and disaster response, swarms of robots can cover large areas to collect data or deliver aid. These robots can navigate and adapt to challenging terrains, providing invaluable assistance in areas that are difficult or dangerous for humans to reach. Swarm robotics, with its versatility and efficiency, is thus finding meaningful applications in various B2B contexts, offering innovative solutions to age-old challenges.
Swarm robotics, a burgeoning field within artificial intelligence and robotics, primarily hovers around Technology Readiness Levels (TRL) 3 to 5 as of the latest updates. This assessment stems from several technical considerations. At its core, swarm robotics entails the development of multiple robots that can operate autonomously yet collaboratively to achieve complex tasks, inspired by natural systems such as ant colonies or bird flocks. The challenge lies in the intricacies of designing algorithms that enable robust, decentralized decision-making and coordination among robots, a feat that requires sophisticated AI and machine learning techniques. While individual robots have achieved significant autonomy and functionality—demonstrating basic capabilities in controlled environments (TRL 3)—integrating these units into a cohesive, efficient swarm amplifies the complexity. Issues such as inter-robot communication, scalability of control algorithms, and energy efficiency need innovative solutions for the technology to progress. Additionally, the adaptation of swarm robotic systems to diverse, real-world applications (e.g., agricultural monitoring, search and rescue operations, and environmental mapping) necessitates further research and development. This transition from conceptual models and lab-based validation (TRL 4) towards prototypes demonstrated in relevant environments (TRL 5) marks a critical phase, where theoretical algorithms are tested against practical challenges, including variable terrain navigation and obstacle avoidance. Consequently, the current TRL reflects both the achieved advancements and the technical hurdles that swarm robotics must overcome to realize its full potential in practical applications.
In the short-term, swarm robotics is poised to make significant strides in enhanced communication protocols and miniaturization. These advancements will enable robots within a swarm to share information more efficiently and execute complex tasks with greater precision. The development of more compact and energy-efficient robots will facilitate their deployment in a variety of environments, from disaster relief operations to agricultural monitoring, where their small size and collaborative nature can be fully leveraged. Over the mid-term, we can expect the integration of advanced AI and machine learning algorithms into swarm robotics systems. This will significantly improve their autonomous decision-making capabilities, allowing swarms to dynamically adapt to changing environments and objectives. Moreover, these advancements will facilitate the emergence of more sophisticated coordination mechanisms, enabling swarms to tackle more complex and varied tasks with minimal human intervention. This period will also likely see the beginning of regulatory frameworks being established to ensure the safe and ethical use of swarm robotics in public spaces and industry. Looking to the long-term, the convergence of quantum computing and swarm robotics holds the promise of revolutionizing the field. Quantum-enhanced processing capabilities will enable swarms to perform extraordinarily complex simulations and optimizations in real-time, vastly expanding their potential applications. From managing smart cities and autonomous traffic systems to conducting space exploration and deep-sea research, swarm robotics could become an integral part of our daily lives, performing tasks too hazardous, intricate, or resource-intensive for humans or traditional robots to undertake.
