Introduction： One of the most common scenarios in logistics is the transfer of regularly stacked items to a target area (eg conveyor belts, sorting containers, etc.). This work has always been done manually, because the items are heavy, and the work is often dull and boring, seriously damaging the health of the body. Truman's intelligent demolition solution can help customers deploy automated equipment demolition solutions from scratch with minimal technical input. Problem Description： The traditional manual demolition process has the following problems： 1、Heavy objects challenge people's health 2、Repeated work all year round, unfavorable for physical and mental health TurboMan's intelligent demolition solution helps customers fully automate the demolition process, which is driven by the vision system to remove the weight from the pallet and place it in the target area.
Features： 1、High-precision iPicker-3D visual recognition system that automatically recognizes the type, size and current posture of the item to be removed 2、Self-planning robot path (automatically avoiding kinematic errors, collision with environmental objects), realizing zero-teaching of the robot can work 3、Compared with teaching programming and template programming, the robot working path is more reasonable, smoother and more efficient.
4、Compared with teaching programming and template programming, the robot working path is more reasonable, smoother and more efficient.
5、Automatically circumvent singular points in the path, kinematic errors, let the robot work in a comfortable posture, extend the life of the robot
6、Support a variety of unpacking and restrictive configurations to meet specific demolition process requirements, integrated integration, without manual intervention
7、Real-time work, whether it is visual recognition or self-planning path, no delay, 24 hours of continuous operation
Introduction： Corresponding to the demolition, after the product is processed, it is necessary to remove the items from the conveyor belt and arrange them in a logistics and transportation link. Another scenario of palletizing is the order preparation process, which needs to put the order-on-demand code ordered by the terminal customer into the parcel to be shipped. The biggest difference in this kind of scenario is that the order comes from different customers and the order contents are different. For mixed pallets, there are higher requirements for pre-computation and dynamic correction of the dome. Problem Description： The traditional manual palletizing process has the following problems： 1、Heavy objects challenge people's health 2、Repeated work all year round, unfavorable for physical and mental health 3、The artificial code shape planning is inefficient, and the optimization space for space and stability is large Truman's intelligent demolition solution can help customers fully automate the palletizing process, which is driven by the vision system to remove the weight from the conveyor belt and place it in the target area. Truman's unique mixed-code shape calculation and dynamic correction algorithm can support customers' more diverse needs.
Features： 1、High-precision visual recognition system that automatically recognizes the type, size and current posture of the item on the conveyor belt 2、Self-planning robot path (automatically avoiding kinematic errors, collision with environmental objects), realizing zero-teaching of the robot can work 3、Compared with teaching programming and template programming, the robot working path is more reasonable, smoother and more efficient.
4、The collision factor in the automatic evasion path, whether it is a static obstacle or the remnant of the tampering, can be perfectly avoided
Introduction：
In a logistics scenario, many situations require container conversion of items, such as from a conveyor belt to a cargo rack, which requires the transfer of items from one container to another. This process requires the capture and placement of items of various poses. This process has a wide variety of items, and it takes a lot of time and effort to grab and place the items. The container conversion application can help customers deploy automated container conversion solutions from scratch with minimal technical effort.
Problem Description
The traditional method has the following problems：
1、After the manual assembly of the parts is completed, it needs to be manually transported to the assembly line platform, and then the extraction and classification are completed, the packaging process is completed, and the packaging operation is carried out to the distribution point. All the contents must be manually processed, and the efficiency is low;
2、There are many types of products to be processed, resulting in low automation;
3、Manual picking has a dynamic correlation between speed and quality, which is extremely unstable;
4、Manual picking causes internal fasteners to be indeterminately damaged;
TurboMan's intelligent sorting solution helps customers fully automate the process of picking and placing items. The vision system drives the robot to remove items from a container and place them in the target container. Features Feature 1: Chumen's intelligent sorting can handle multiple types of targets at the same time Problems with traditional methods:
1、The crawling area is not perfect and the catching success rate is low.
2、Can only be used to capture a single grab object, can not achieve a variety of object classification
3、Different shapes of bagged boxes and boxes cannot be identified by traditional two-dimensional
4、Packing shapes vary, sizes vary, and the problem is complicated Solved by the intelligent sorting system: 1、3D scanning positioning through 3D vision scheme 2、Choose a compatible compatible universal vision product model 3、Set the robot to set the scanning position after grabbing and then place it on the conveyor belt. Feature 2: Accurate and safe capture in a random batch loading environment Traditional method problem: 1、Batch
products are difficult to select in the assembly line, which requires a
large amount of model data calculation and analysis. 2、The flow line frame will interfere with the gripping action of the robot, resulting in unsafe work flow. 3、Need to manually complete the flat pipeline loading state, it takes labor time Solved by the intelligent sorting system: 1、The iPicker-3D
3D camera acquires the point cloud information of the part, and
calculates the matching degree between the part point cloud and the CAD
model through a high-precision matching algorithm. The matching degree
is the identified part. 2、The iPicker-3D
system judges the reachability of the robot and whether it interferes
with the frame. The recognized object attitude data is converted to the
robot coordinate system and sent to the robot via Ethernet, thereby
guiding the robot to accurately capture. 3、Autonomously
avoiding kinematic errors, collisions with environmental objects, and
achieving collision-free capture and placement Feature 3: Ingenious automatic layout function will not hurt customers' products Problems with traditional methods: 1、Using a teaching-based robot, you can't control the robot in real time based on the changing conditions of the crawling process. 2、Items can only be placed from the fixed point of the bin, which is easy to cause damage to the item. Solved by intelligent sorting system: 1、Set the robot's light and light mechanism to ensure zero damage during the picking process 2、Apply deep learning method to grab position detection for optimal capture 3、The
gripping posture is dynamically adjusted according to the posture of the
object so that the robot does not collide with the environment. 4、Determine
the number of items to grab based on the type of pick, dynamically use
different suction cups to control the capture of different quantities of
items System structure: Video display: |
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