나비프라: 물류 로봇 자율주행 소프트웨어

Navi-Brain: NAVI-BRAIN is Navifra's unique technology that innovates manufacturing logistics by enabling the path planning and simultaneous motion control of over 100 robots.

01 Background of Development: The capability to control multi-robots is needed to enable seamless path management and to schedule hundreds of robots by overcoming the limitations of traditional control solutions. We introduce Navifra's unique solution, the NaviBrain. NaviBrain enables the capability of multiple robots to drive efficiently with optimal routes.

02 Features

Job management
- Create jobs by scheduling individual robot’s pre-assigned actions(tasks).
- Assign jobs to optimal robots using the job assignment function.
Traffic management
- Create an environment which that minimizes deadlock situations between multiple robots.
- Create traffic rules by applying attributes to objects on the map.
Simulator
- Deploy virtual robots in the real-world environment for simulations.
- Derive results regarding the optimal number of operating robots, job assignment, and traffic management in simulations.

03 Expandability: The robot control system, Navibrain, enables inter-floor movement through elevators, allowing various tasks to be performed in a wider space without constraints on floor-to-floor movement.

01 Development: Even in the same manufacturing/logistics environment, processes can vary greatly depending on the site. Especially in manufacturing plants, where layouts are complex and equipment characteristics vary, tasks need to be assigned differently based on the task and sequence. While a single robot can handle simple and repetitive tasks or tasks with clear sequences without issues, what if a single job requires performing multiple tasks simultaneously? Navibrain offers a Job Scheduler solution to enable parallel task assignment for environments that require multi-robot cooperation for a single job.

02 Advantages

n robots to 1 tasks
- Scheduling function where n or more robots collaborate on one task.
- Gather tasks to create scenarios and review and modify collaborative situations between robots by repeating the configured scenarios.
Parallel task assignment
- Parallel task assignment feature for job optimization.
- Maximizing robot operation efficiency.
- Easy task creation through intuitive UI.

01 Development: Even if you have excellent path planning technology for a single robot, a more advanced level of technology is required for planning the paths of multiple robots. This is because with two or more robots, deadlock situations are inevitable, and it is necessary to adjust speed or occupied areas according to the robots' tasks. Navibrain's Traffic Management Path Planning solution can predict and optimize paths to prevent deadlocks between robots. Additionally, it can centrally manage and plan the optimal routes for more than 100 robots through a central server system.

02 Advantages

Heterogeneous multi-robot control
- Utilize the sensor configurations of various AMRs and environmental information obtained from multiple directions to integrate into the MAPF algorithm.
- Combine centralization and decentralization approaches for path planning that organically responds to environmental information obtained from various types.
- Analyze problem occurrences and response history to assign tasks considering the characteristics of AMRs in each area.
Unstructured map pathfinding technology
- Pathfinding technology that considers unstructured maps, enabling path planning in a Continuous Time Domain environment.
- Generate optimal paths in unstructured maps.
- Increase production efficiency through path regeneration technology that addresses deadlock situations in narrow pathways.

Hybrid Method Path Finding
- Individual robots use NCP (NaviCore-Path Planning technology) to independently plan paths for each task assigned by the server. (e.g., node 1 -> 2, node 2 -> 3).
- Integrate real-time detection and avoidance technology for unexpected situations for each robot to enhance safety, productivity, and real-time response to unexpected events.
MAPF (Multi Agent Path Finding) based on Robot kinematics
- Variable kinematics adjustments based on the robot's task (e.g., changing the occupied area for a forklift depending on the load status).
- Derive optimal paths using Target reasoning, Corridor reasoning, and Rectangle reasoning algorithms based on the route.

01 Development: Deploying a multi-robot control system directly in the field incurs significant opportunity costs. Therefore, conducting simulations before implementing the control system on-site can help predict optimal production efficiency. Using Navibrain simulator solution with an error margin of within 1% compared to the real world environment, it's possible to infer the optimal number of robots and predict the required production volume beforehand.

02 Advantages

30 robots simulations
- Create a simulation environment identical to the real site with an error margin of within 1% to calculate the takt time.
- Playback and control simulation available for required production volume.
- Calculate the optimal number of operating robots.
100 robots simulation
- Robot movements, status, and job progress can be easily monitored in the monitoring screen.
- Optimal job scheduling plans can be established by predicting runtime, utilization rate, and battery usage for the required production volume.
- Predictive error detection, task flow review, and modification capabilities are available.

개인정보 처리 방침

나비프라 ('www.navifra.com'이하 'navifra')은(는) 「개인정보 보호법」 제30조에 따라 정보주체의 개인정보를 보호하고 이와 관련한 고충을 신속하고 원활하게 처리할 수 있도록 하기 위하여 다음과 같이 개인정보 처리방침을 수립·공개합니다.

○ 이 개인정보처리방침은 2022년 1월 1부터 적용됩니다.

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개인정보 처리 방침