Industry: Artificial intelligence Region: Spain Transaction price: US$ 1 million Transaction method: equity investment
Project introduction:
Founded in Barcelona, Spain in 2019, the company developed a Labrador-sized intelligent robot dog. This is an autonomous quadruped robot that can be operated in any environment. It can be used in dangerous and complicated fields such as chemical industry, mining industry, oil and gas, safety supervision and so on. It aims to provide customers with consistent and reliable performance, work together and improve efficiency.
It can carry out industrial inspection independently and navigate completely independently in multi-storey facilities. Its sensors, cameras, microphones and 3D maps provide real-time insights and alerts. Its lightweight and impact-resistant structural design provides flexibility and flexibility.
It can go up and down stairs and slopes, climb steps, climb into narrow spaces, and keep balance in changing terrain such as gravel. It can visit all areas, including those that pose risks to people, and report the incidence in real time when it is detected. This is how intelligent robot dogs protect industrial workers, and at the same time enable factories to improve uptime and productivity through continuous monitoring and predictive maintenance.
The robot technology developed by the company aims to enhance human work and improve safety and efficiency along the way. This product won the first prize of 2023DARPA Challenge, which is called industrial intelligent robot dog:
Lidar: Also known as "light detection and ranging", it is a remote sensing method that uses light in the form of pulsed laser to measure distance (variable distance). This 360-degree solution uses these light pulses to generate accurate three-dimensional information about the robot environment.
Computer Vision: This technology enables autonomous robots to extract information from images, which can come from various sources, such as cameras and the aforementioned lidar sensors. Thanks to this technology, AMR can perform tasks such as object detection and recognition, event detection or video tracking. Take Keyper as an example, its advanced computer vision combined with artificial intelligence enables it to read meters and meters, and detect whether their values can be determined as "normal" or whether it is necessary to report the incidence immediately.
Machine learning: This technology uses algorithms to let robots learn from data and extend it to invisible data, so as to perform tasks autonomously without clear instructions.
In chemical industry and other industries, the traditional inspection tasks are all done manually, which brings great risks to employees, such as gas leakage. The development of AMR, specially designed for inspection and monitoring in a safer and more efficient way, is changing the status quo one industrial plant at a time.
For example, up to now, chemical companies have controlled their facilities by having one (or more) operators visit each factory regularly and visually inspect all key instruments to check whether their data are within the normal parameters. However, gas leakage-a very dangerous situation-is not uncommon in this installation. Before the operators walk through the affected area and measure the gas level in the air, gas leakage will not be found, which poses a great risk to the safety of them and their colleagues.
Autonomous robot (AMR) used for industrial inspection can perform this round and complete task autonomously, such as reading instruments and meters, and detecting any type of incident through its camera and thermal, acoustic and gas detectors. They not only eliminate the necessity of putting manual operators in a potentially dangerous situation, but also can patrol more frequently to ensure that the facilities are always under control and report any potential incidents immediately, which is helpful to improve the productivity of the factory and greatly reduce the need to close production.
Therefore, autonomous navigation has become the key for robots to change from theoretical planning to value-added in real industrial environment. By using all kinds of advanced technologies, they can observe and understand their own environment and make decisions according to their own findings without human intervention. They can effectively contribute to making human work not only safer but also more efficient.
Cooperation mode:
The company is looking for buyers or agents, welcome to discuss.