Scara Industrial Robots

A SCARA (Selective Compliance Articulated Robot Arm) robot is a type of industrial robot that is widely used in assembly, pick-and-place, and packaging applications. SCARA robots are characterized by their two parallel joints that provide compliance in the horizontal plane (X and Y axes), while the vertical axis (Z axis) remains rigid. This design allows SCARA robots to move quickly and precisely in a horizontal plane while maintaining stability in the vertical direction.

Some key features and advantages of SCARA robots include:

High-speed operation: SCARA robots are designed for high-speed operation, making them ideal for tasks requiring rapid and precise movements, such as assembly and pick-and-place operations.

Accurate positioning: SCARA robots offer precise positioning capabilities, allowing them to consistently perform tasks with high accuracy and repeatability.

Compact footprint: SCARA robots typically have a compact footprint, making them suitable for use in environments where space is limited.

Cost-effective: Compared to other types of industrial robots, SCARA robots often offer a cost-effective solution for applications that require precise horizontal motion.

Versatility: SCARA robots can be used for a wide range of applications, including assembly, packaging, material handling, and more. They can be easily integrated into automated manufacturing systems.

Easy programming: SCARA robots are relatively easy to program, especially for tasks that involve simple, repetitive movements. Many SCARA robots can be programmed using intuitive graphical interfaces or teach pendant systems.

Payload capacity: While SCARA robots typically have lower payload capacities compared to other types of industrial robots such as articulated robots, they are still capable of handling a wide range of payloads depending on the specific model.

Logirobotix produces 2 models of SCARA industrial palletising robots:

  • SCARA RC robot with 350° rotating column
  • SCARA DA robot with double arm

Each model is produced in two versions:

Heavy version for handling and palletising with payloads at the wrist of 120/180 kg.
Medium version for handling and palletising with a payload at the wrist of 60 kg

Essential features:

  • Maximum operating radius gripper axis 1500mm.
  • Minimum operating radius gripper axis 513 mm
  • Rotation of gripper element 360°
  • Productivity up to 14 grippers per minute
  • Servomotors controlled by
  • PLC Lenze 3200C
  • Servomotors and gearboxes with the same features of the heavy model
  • 7″ colour touch screen operator panel
  • Hardened and ground vertical travel guides ground with recirculating ball carriages
  • Maximum liftable weight 60 or 90 kg depending on the model
  • Standard vertical travel 2000mm.

Medium Version

Compared to the heavy model it has reduced dimensions and therefore reduced operating volumes.

The standard vertical stroke is 2000 mm. The footprint is therefore ideal for applicatins where the available vertical space is reduced. The vertical column can rotate 340°allowing full use to be made of the reach of the gripper reach.

Key features industrial robot palletiser scara:

  • Maximum gripper axis operating radius 2000mm
  • Minimum gripper axis operating radius 755mm.
  • Wrist rotation 360° .
  • Palletising throughput up to 14 grippers per minute
  • Lenze PLC-controlled servomotors
  • Lenze brushless servomotors
  • Zero backlash gearboxes (< of 1′) for column and elbow and low backlash planetary gearboxes (< 5′) for wrist
  • 10″ colour touch screen operator panel
  • Hardened and ground linear guides with recirculating ball carriages
  • Maximum liftable weight 120Kg or 180Kg (including gripper element)
  • Maximum vertical stroke 2500mm

Heavy Version

The scara industrial palletising ROBOT is a high-productivity machine mainly used for palletising, capable of palletising on one or two bays.

In terms of performance, it is analogous to anthropomorphic palletisers. The maximum vertical stroke of the heavy scara is 2500mm, with a palletising height of 2400mm. It has a low overall height and is therefore ideal for those applications where the available height space is limited. The column can rotate 350° allowing full utilisation of the reach of the gripper element. Scara palletisers are equipped with specially developed palletising software.

Fall arrest device
All scara robot models are equipped with a safety brake on the vertical axis, which, in the event of a mechanical transmission component breaking, prevents the arms from descending when the machine is stopped and the safety circuits are not energised (safeties not reset).

Vertical axis feedback
In order to increase the positioning accuracy of the vertical axis, a linear encoder can be mounted on the vertical axis, which detects the true position of the axis and corrects position errors caused by the elasticity of the drives.
The linear encoder also prevents the vertical carriage from falling in the event of a broken transmission. The Z-axis drive has a safety circuit that compares the positions of the encoder on the motor and the linear encoder; if the difference between the two positions exceeds a preset value, a safety contact is opened, which de-energises the motor drives and discharges the pneumatic circuit that controls the opening of the safety brake.

ATEX versions
ATEX-certified versions are produced for applications in environments with combustion hazards (presence of solvents or dust).

INOX versions
For applications in humid or corrosive environments, we can build scara robots in anodised aluminium and AISI304 stainless steel or entirely in stainless steel.

Customized Versions

Computer Vision

Computer vision plays a crucial role in pick-and-place robotics, where robots are tasked with identifying objects in a workspace and accurately picking them up to place them in a designated location.

Here’s how computer vision is integrated into pick-and-place robotics:

Object Detection and Recognition: Computer vision algorithms are used to detect and recognize objects within the robot’s field of view. This involves analyzing images or video feeds captured by cameras mounted on the robot or within the workspace. Convolutional Neural Networks (CNNs) are commonly used for object detection tasks, allowing the robot to identify objects based on their shape, color, texture, or other visual features.

Pose Estimation: Once an object is detected, the robot needs to determine its position and orientation in 3D space relative to its own coordinate system. Pose estimation algorithms are employed to calculate the precise pose of the object, enabling the robot to plan and execute its pick-and-place actions accurately.

Grasping Strategy: Computer vision helps the robot determine the optimal grasping strategy based on the shape, size, and orientation of the object. By analyzing the object’s geometry and surface properties, the robot can select the most suitable gripper configuration and approach angle to ensure a secure grasp.

Obstacle Avoidance: Computer vision enables the robot to detect and avoid obstacles in its path, ensuring safe and collision-free operation during pick-and-place tasks. By continuously monitoring the environment using cameras or depth sensors, the robot can adjust its trajectory to navigate around obstacles and reach its target efficiently.

Quality Inspection: In addition to pick-and-place actions, computer vision can be used for quality inspection purposes. The robot can inspect objects for defects, anomalies, or deviations from the desired specifications before picking them up or after placing them in the designated location. This ensures that only high-quality products are processed and delivered downstream.

Adaptive Behavior: Computer vision allows the robot to adapt its behavior in real-time based on changes in the environment or the objects being handled. For example, if the lighting conditions change or new objects are introduced into the workspace, the robot can dynamically adjust its perception and manipulation strategies to maintain performance and reliability.

Integration with Robot Control: Computer vision systems are tightly integrated with the robot’s control system to enable seamless interaction and coordination between perception and action. This integration allows the robot to receive real-time feedback from the vision system and adjust its movements accordingly to achieve precise pick-and-place operations.

IoT Devices and Sensors

The integration of IoT devices and sensors with industrial robots is transforming manufacturing processes by providing real-time monitoring, data collection, and enhanced automation capabilities. Here’s how IoT devices and sensors are being utilized in conjunction with industrial robots:

Environmental Monitoring: IoT sensors can monitor various environmental parameters such as temperature, humidity, and air quality within the manufacturing facility. This data helps optimize working conditions for both humans and robots and ensures that environmental factors do not affect the performance or safety of the robotic systems.

Predictive Maintenance: Sensors integrated into industrial robots can monitor equipment health by tracking parameters such as vibration, temperature, and usage metrics. IoT-enabled predictive maintenance systems analyze this data to anticipate potential failures and schedule maintenance tasks proactively, minimizing downtime and maximizing productivity.

Energy Efficiency: IoT sensors can monitor energy consumption across different manufacturing processes, including robot operation. By analyzing energy usage patterns and identifying opportunities for optimization, manufacturers can implement energy-efficient practices to reduce costs and environmental impact.

Collision Detection and Safety: IoT sensors can be used to detect potential collisions between robots, machinery, and human workers in the workspace. By monitoring proximity and movement, these sensors can trigger safety mechanisms such as emergency stops or warning alarms to prevent accidents and ensure a safe working environment.

Quality Control and Inspection: IoT sensors integrated with industrial robots enable real-time quality control and inspection during manufacturing processes. Vision sensors, for example, can detect defects or deviations in products as they are being assembled or processed, allowing immediate corrective action to be taken to maintain product quality.

Supply Chain Visibility: IoT-enabled industrial robots provide visibility into the supply chain by tracking the movement of raw materials, work-in-progress inventory, and finished goods. This real-time tracking data facilitates better inventory management, logistics optimization, and demand forecasting, leading to improved efficiency and cost savings.

Remote Monitoring and Control: IoT connectivity enables remote monitoring and control of industrial robots from anywhere with an internet connection. This capability allows operators to oversee multiple robotic systems, diagnose issues remotely, and make real-time adjustments to production processes, increasing flexibility and responsiveness.

Data Analytics and Optimization: IoT devices and sensors generate vast amounts of data that can be analyzed to optimize manufacturing processes and improve overall efficiency. Advanced analytics techniques, such as machine learning and predictive modeling, can uncover insights from this data to drive continuous improvement initiatives and enhance decision-making.