What Know About Collaborative Robots: Types, Composants, Applications, Contrôle?

In today’s fast-paced workplaces, the line between human and machine work is blurring—thanks in large part to collaborative robots. These machines are designed to work alongside people, not in isolation, bringing flexibility, efficacité, and safety to a wide range of tasks. Whether you’re in a factory, a hospital, or a classroom, collaborative robots are changing how work gets done. But what exactly are they? How do they function? And where can they be used? This guide will answer these questions and more, breaking down the types, composants, applications, and control systems of collaborative robots.

Types of Collaborative Robots

Collaborative robots (ou cobots) come in various forms, each tailored to specific tasks and environments. Here are the most common types:

Lightweight Collaborative Robots

Lightweight collaborative robots are easy to move and deploy, weighing much less than traditional industrial robots. Their compact size and low weight make them ideal for small workspaces, such as workshops or labs, where they can assist with tasks like picking and placing small parts without taking up too much room.

Industrial Collaborative Robots

Industrial collaborative robots are designed for factory floors, working alongside humans on assembly lines, conditionnement, or machine tending. They’re sturdy enough to handle moderate loads but still safe to be near—equipped with sensors that stop them if they bump into a person.

Mobile Collaborative Robots

Mobile collaborative robots have wheels or tracks, allowing them to move around a workspace. They’re often used in logistics or warehouses, fetching materials for workers or transporting goods between stations. Some can even follow a human operator like a helpful assistant.

Human-Robot Collaboration (HRC) Robots

Human-robot collaboration (HRC) robots are built specifically for close interaction with people. They can sense human movements and adjust their actions accordingly—for example, slowing down when someone gets too close. These robots thrive in tasks that require teamwork, like assembling complex products.

Dual-Arm Collaborative Robots

Dual-arm collaborative robots have two robotic arms, mimicking human hands. This allows them to perform tasks that need coordination, such as holding a part while a human screws it in, or assembling components from both sides. Their dexterity makes them useful in electronics manufacturing or small-parts assembly.

Desktop Collaborative Robots

Desktop collaborative robots are small enough to sit on a desk, used for precise tasks like sorting small items, testing electronics, or even 3D printing. They’re popular in research labs and small businesses where space is limited but precision is key.

Educational Collaborative Robots

Educational collaborative robots are designed to teach students about robotics, programming, and automation. They’re user-friendly, with simple interfaces that let kids and teens learn by doing—programming the robot to perform tricks or solve small challenges.

Medical Collaborative Robots

Medical collaborative robots assist healthcare workers in hospitals or clinics. They might help lift patients, deliver supplies, or even assist in surgeries by holding tools steady. Their safety features ensure they can work near vulnerable patients without risk.

Service Collaborative Robots

Service collaborative robots work in non-industrial settings, like restaurants, hotels, or stores. They might take orders, clean tables, or guide customers, freeing up human staff to focus on more personal interactions. These robots are designed to be friendly and easy to communicate with.

Research Collaborative Robots

Research collaborative robots are used by scientists to study human-robot interaction or develop new robotics technologies. They’re often highly customizable, allowing researchers to test new sensors, logiciel, or movement patterns.

Key Components of Collaborative Robots

Like any machine, collaborative robots rely on key components to function. Here’s a look at the parts that make them work:

Robotic Arms

Robotic arms are the core of a collaborative robot, enabling movement and manipulation. They’re typically made of lightweight materials (like aluminum) to reduce injury risk if they bump into someone. The number of joints (usually 4 à 6) determines their flexibility—more joints mean more range of motion.

End-Effectors

End-effectors are the tools at the end of the robotic arm, tailored to specific tasks. They can be grippers for picking up objects, suction cups for holding flat items, or even specialized tools like screwdrivers. End-effectors are easy to swap, letting the robot switch between tasks quickly.

Grippers

Grippers are a type of end-effector designed to grasp objects. Collaborative robots often use soft or adaptive grippers that can handle different shapes—from round balls to square boxes—without crushing them. Some grippers even have sensors to detect how hard they’re gripping, preventing damage.

Capteurs

Capteurs are what make collaborative robots “collaborative.” They include force sensors (to detect pressure), proximity sensors (to sense nearby objects), and vision sensors (to “see” their surroundings). These sensors help the robot avoid collisions and adjust its actions based on what’s happening around it.

Controllers

Controllers are the robot’s brain, processing information from sensors and executing programmed instructions. They’re usually small computers that fit inside the robot’s base, running software that dictates movement, vitesse, and responses to stimuli.

Moteurs

Moteurs power the robot’s joints, allowing it to move. Collaborative robots use low-power motors that are strong enough to get the job done but not so powerful that they’d cause harm in a collision. This balance of strength and safety is key to their design.

Joints

Joints connect the segments of the robotic arm, enabling bending, tournant, or extending. Each joint is designed to move smoothly and precisely, with built-in limits to prevent overextension. Some joints even have springs that absorb impact, adding an extra layer of safety.

Actionneurs

Actionneurs convert energy from the motor into physical movement, making the joints move. They work with the controller to adjust speed and force, ensuring the robot moves gently when near humans but can speed up when working alone.

Safety Systems

Safety systems are critical for collaborative robots. These include emergency stop buttons, software that limits speed and force, and collision detection. If the robot senses a problem—like a human blocking its path—it stops immediately to prevent injury.

User Interfaces

User interfaces let humans interact with the robot, often through touchscreens, comprimés, or even voice commands. They’re designed to be simple, so workers without technical training can program basic tasks, like “pick up this box and put it there.”

Applications of Collaborative Robots

Collaborative robots are versatile, finding use in many industries. Here are some of their most common applications:

Fabrication

Dans fabrication, collaborative robots assist with assembly, soudage, or painting. They can hold parts steady while a human welds, or apply adhesive evenly to components. Their precision reduces errors, and their safety features mean they can work on the same line as humans without barriers.

Assembly

Assembly lines benefit greatly from cobots, which can handle repetitive steps like inserting screws or attaching labels. Humans can focus on more complex tasks, like quality checks, while the robot handles the monotonous work—reducing fatigue and improving productivity.

Quality Control

Dans contrôle de qualité, collaborative robots inspect products for defects using cameras or sensors. They can measure dimensions, check for scratches, or test functionality, then flag issues for a human to review. This speeds up the inspection process without sacrificing accuracy.

Logistics

Logistics and warehouses use cobots for tasks like sorting packages, loading/unloading trucks, or moving goods to storage. Mobile cobots can follow warehouse workers, carrying heavy items so humans don’t have to lift them—reducing the risk of back injuries.

Soins de santé

Dans Soins de santé, collaborative robots help with patient care—lifting patients into beds, delivering medications, or sanitizing rooms. In surgeries, they might hold tools or steady a patient’s body part, allowing surgeons to focus on the procedure.

Rehabilitation

Rehabilitation centers use cobots to help patients recover from injuries or strokes. The robot can guide a patient’s arm through exercises, providing gentle resistance to build strength. It can also track progress over time, adjusting the exercises as the patient improves.

Education

Education uses collaborative robots to teach STEM skills. Students can program the robot to solve problems, code simple movements, or even compete in robotics challenges. This hands-on learning makes complex concepts like coding or physics easier to understand.

Research

Dans recherche, cobots assist scientists in labs—mixing chemicals, handling fragile samples, or conducting repetitive experiments. They can work 24/7, allowing researchers to collect more data in less time. Some are even used to study how humans and robots can work together better.

Agriculture

Agriculture is adopting cobots for tasks like picking fruits, sorting vegetables, or planting seeds. They can work in greenhouses alongside farmers, identifying ripe produce with sensors and picking them gently to avoid bruising.

Service Industry

Le service industry uses cobots in restaurants (taking orders, serving food), hotels (carrying luggage, cleaning rooms), and retail (restocking shelves, helping customers find items). They enhance customer service by freeing up staff to focus on friendly interactions.

Programming and Control of Collaborative Robots

Collaborative robots are designed to be easy to program and control, even for non-experts. Here’s how their programming and control systems work:

Robot Programming Languages

Robot programming languages for cobots are simpler than those for industrial robots. Many use visual programming—drag-and-drop blocks that represent actions like “move forward” or “grab.” Some also support basic text-based languages like Python, making it easy to customize tasks.

Control Software

Control software manages the robot’s actions, from movement to sensor input. It’s user-friendly, with dashboards that show the robot’s current task, battery life, or any errors. Operators can pause, restart, or modify tasks with a few clicks.

Teaching Pendants

Teaching pendants are handheld devices used to “teach” the robot a path. An operator guides the robot’s arm through a sequence of movements (like picking up a part and placing it down), and the robot remembers the steps. This is great for simple, repetitive tasks.

Path Planning

Path planning software helps the robot find the most efficient route to complete a task. It avoids obstacles, including humans, by adjusting the path in real time. Par exemple, if a worker steps in front of the robot, it will slow down and go around them.

Real-Time Control

Real-time control allows the robot to respond instantly to changes. Sensors send constant updates about the environment, and the controller adjusts the robot’s speed or direction immediately. This ensures safety and smooth operation, even in busy workspaces.

Simulation

Simulation software lets users test robot programs on a computer before trying them in real life. This helps spot mistakes—like a movement that might cause a collision—without risking damage or injury. It’s a great tool for training new users.

User Interfaces

User interfaces for cobots are designed with simplicity in mind. Touchscreens, apps, or voice commands make it easy to start, arrêt, or reprogram the robot. Some even have icons instead of text, so workers with different language backgrounds can use them.

Offline Programming

Offline programming allows users to write robot code on a computer, then upload it to the robot later. This is useful for complex tasks, as it doesn’t require stopping the robot to program—minimizing downtime in busy workplaces.

Machine Learning

Machine learning helps cobots improve over time. By analyzing data from past tasks, they can learn to adjust their grip for different objects or predict when a human might need help. Par exemple, a cobot in a warehouse might learn that a certain worker often needs help lifting heavy boxes and offer assistance proactively.

Integration with IoT

Integration with IoT (Internet of Things) connects cobots to other devices, like sensors, cameras, or inventory systems. This allows for smart automation—for example, a cobot might receive a signal from a sensor that a bin is empty and automatically fetch more parts, or update a digital inventory system when it moves items.

BBjump's Perspective

"En tant qu'agent d'approvisionnement, we’ve seen a huge rise in demand for collaborative robots as businesses seek to boost efficiency without replacing human workers. Clients prioritize cobots that are easy to program, sûr, and flexible enough to handle multiple tasks. Industries like manufacturing and logistics love their ability to work alongside humans, cutting costs while keeping workers happy. The best cobots adapt to changing needs—making them a smart investment for any business looking to grow."

FAQ

Are collaborative robots safe to work with?

Oui, collaborative robots are designed with safety as a top priority. They use sensors to detect humans, slow down or stop when someone gets close, and have soft, lightweight parts that reduce injury risk. Many also have emergency stop buttons and software limits on speed and force, ensuring they’re safe even in close contact with people.

How hard is it to program a collaborative robot?

Programming a collaborative robot is much easier than programming a traditional industrial robot. Most use simple interfaces—like drag-and-drop software or teaching pendants—so even workers without coding experience can learn to program basic tasks in minutes. For more complex tasks, some training might be needed, but it’s far less intensive than traditional robot programming.

What’s the difference between a collaborative robot and a traditional industrial robot?

Traditional industrial robots are large, rapide, and powerful, often caged off to keep humans safe. They’re built for speed and heavy loads but lack flexibility. Collaborative robots, d'autre part, are smaller, slower, and designed to work near humans without cages. They prioritize safety, facilité d'utilisation, and adaptability, making them ideal for small-batch production or tasks that need human-robot teamwork.