[Pangyo Technovalley, Innovation hub in ASIA] Indoor autonomous robot & online platform specialist Twinny demonstrates AI-based autonomous logistics transport robots TarGo and NarGo
2020-10-23, Jane Lee Reporter
Robots are one of the key elements leading the era of Industry 4.0, and are very diverse, ranging from manufacturing robots to robots working in extreme environments that are difficult for humans to access, and even to humanoid robots that have similar appearance to the human body. Logistics robots based on AGV (unmanned vehicle) and AMR (autonomous mobile robot) are also one of the emerging robot technology applications. Twinny, an autonomous robot specialist that recently participated in the 4th Pangyo Autonomous Mobility Show (PAMS 2020) held in the 1st and 2nd Pangyo Technovalley. This company improves people's quality of life by using logistics robots and software solutions in various areas.
Twinny researches and develops indoor autonomous mobile robot technology led by researchers from KAIST, and it introduced its autonomous logistics robot TarGo and the logistics train robot NarGo at PAMS 2020, and it introduced Twinny's control system. Among them, TarGo is an autonomous logistics carrier that recognizes and follows subjects with a single touch, making it easy to use. The maximum speed is 1.2m per second, which is faster than human walking, and it can load up to 100kg in a spacious 200L space. It can operate for about eight hours on a single charge, and can use both battery exchange and port charging methods.
The strengths of TarGo are strong user follow-up, safety, and universality. TarGo accurately recognizes the subjects to follow with the depth camera, and even when an obstacle appears on the path and obstructs the driving or the subject changes the direction, the sensor rotates first so that the target is not lost. In addition, the triple safety system prevents accidents, and the depth camera reliably recognizes not only the user, but also the obstacles around it. The distance measuring sensor located at the bottom of the robot can detect a wide area around it, and the ultrasonic sensor checks for obstacles that are difficult for the optical sensor to recognize. It can be used in various places such as logistics centers, shopping malls, airports, hotels, and factories.
Order picking is a process in which workers called pickers in logistics centers putting ordered goods into carts as if they were shopping. Currently, at most logistics centers, one cart is assigned per worker, and they have to go around a large warehouse. In such a work environment, a lot of labor and resources are required to process a large number of orders. The logistics robot solution that solves this problem is NarGo, an autonomous OR route-following logistics robot that runs like a train and carries a large amount of goods.
Twinny is supplying the logistics train robot NarGo in two options. The first option of NarGo is User+Nargo follower (path-following type), where the user controls a single follower robot with a device, and multiple followers drive along the path. By using this option, a single worker can operate multiple carts, allowing multiple orders to be processed at once. The second option Nargo leader (autonomous driving type)+Nargo follower (path-following type) replaces the worker that leads Nargo with autonomous driving robots. In each area, when the worker who prepared the items in the order form simply puts the items in the designated cart when Nargo arrives and departs for the next destination, and the entire process is completed.
The Twinny control system, a system that remotely monitors and controls the status and service information of Twinny autonomous logistics robots, is a system that monitors and remotely controls the status of autonomous logistics robots in real time. The robot can be directly controlled through the tablet application at the work site, and the central control room can check the robot's status and statistical information with a web application and set the robot's path according to the operation plan. This way, integrated robot control can be done both in the center and also in the field. Especially since the control system records all activity data that occur while operating the robot, the robot can be operated systematically, and it contributes to improving the efficiency by optimizing the operating environment.
PAMS 2020 was hosted by Gyeonggi Province and co-organized by Kintex and the Advanced Institute of Convergence Technology. It was held at the 1st and 2nd Pangyo Technovalley, the venue rapidly emerging as the autonomous smart industrial complex, with the theme Connect PANGYO.