Apply Inventive Design on a Generic Traditional Industrial Robot
TRIZ (Theory of Inventive Problem Solving) is a methodology for systematic innovation that can be used to solve problems and develop new products. In this case, we can apply TRIZ to improve an existing ABB robot and invent a new one.
First, we can apply the 40 Principles of TRIZ to improve an existing ABB robot. For example, we can use the principle of segmentation to break down the robot into smaller, more manageable parts that can be more easily maintained or replaced. We can also use the principle of simplification to reduce the number of components in the robot, making it easier to assemble and maintain. Additionally, we can use the principle of asymmetry to create a robot that is more flexible and adaptable to different environments and tasks.
Next, we can use TRIZ to invent a new robot that addresses a specific need or solves a specific problem. For example, we can use the principle of ideality to create a robot that is highly efficient and effective at performing a particular task, such as assembling small electronic components. We can also use the principle of contradiction to identify and resolve conflicting requirements, such as the need for a robot to be both fast and precise. Additionally, we can use the principle of uniformity to create a robot that can be easily adapted for different applications, reducing the need for multiple robots and making it more cost-effective.
The New Robot
The new robot is a highly adaptable, modular robot designed for a wide range of applications. It is designed to be lightweight, easy to move, and equipped with sensors and cameras that allow it to navigate and operate in a variety of environments. Additionally, it is programmed with AI and machine learning algorithms, enabling it to learn from its environment and improve its performance over time.
The robot’s modular design allows it to be easily reconfigured for different tasks, making it highly versatile and cost-effective. Its segments can be easily attached or removed to create a variety of shapes and configurations, enabling it to perform tasks that require precise movements or access to difficult-to-reach areas.
The robot’s sensors and cameras enable it to operate in a variety of environments, from factories to outdoor areas. Its programming also allows it to learn from its environment, making it more efficient and effective over time. For example, it can learn to identify and avoid obstacles, improve its pathfinding, and optimize its movements for maximum efficiency.
The new robot is a sleek and modern-looking machine that is about the size of a small table. It has several parts that can be easily detached and reconfigured to suit different tasks. These parts are connected by joints that can move in multiple directions, giving the robot a lot of flexibility in its movements.
The robot’s body is made of lightweight materials that make it easy to move around. It has sensors and cameras attached to its body that allow it to “see” and “feel” its surroundings, enabling it to operate in a wide range of environments. For example, it can navigate around a factory floor, assemble small electronic components, or even explore outdoor areas.
The robot’s programming is what makes it really special. It has been designed with AI and machine learning algorithms that enable it to learn and adapt to its environment. For example, it can learn to avoid obstacles, optimize its movements for maximum efficiency, and even improve its own performance over time.
The joints in the new robot are designed to move in multiple directions, allowing the robot to be highly adaptable and versatile. The joints are typically made up of two or more segments that can rotate or bend relative to each other.
For example, imagine a joint in the robot’s arm that consists of two segments: a cylindrical section at the base of the arm and a rectangular section at the end. The cylindrical section can rotate around its axis, allowing the rectangular section to move up and down. Additionally, the rectangular section can also rotate around its own axis, allowing it to move left and right. Together, these movements give the joint a wide range of motion, enabling the robot to perform a variety of tasks.
Another example could be a joint in the robot’s leg. This joint may have a spherical shape at its base, which allows the leg to move in any direction. The spherical shape can be attached to a socket, which provides stability and allows the leg to remain attached to the robot’s body.
Let’s visualize some of these ideas. I challenge you to move forward with better ideas.
Apply Inventive Design on a Specific Robot: ABB YuMI
In this scenario, we will apply both TRIZ and ARIZ to the ABB YuMi robot to invent a new robot. TRIZ is a methodology that helps inventors and engineers to solve problems and develop new ideas. ARIZ is a specific problem-solving algorithm within TRIZ.
First, we will apply the ARIZ problem-solving algorithm to identify and solve the problems associated with the ABB YuMi robot. This will involve identifying contradictions in the robot’s design and function, and then finding ways to resolve them using the principles of TRIZ.
One possible problem with the ABB YuMi robot is that it is designed for relatively small-scale pick-and-place tasks, which may limit its applicability in larger-scale industrial applications. To resolve this contradiction, we could apply the TRIZ principle of “combining” and “segmentation” to create a modular robot system that can be scaled up or down as needed for a variety of applications.
By creating a modular system, we could combine and segment various components of the robot, such as the arms, grippers, and sensors, to create a robot that can adapt to different tasks and environments. This would allow the robot to be used in a variety of industrial settings, from small-scale assembly tasks to large-scale construction projects.
In addition to the modular design, we could also apply the TRIZ principle of “heterogeneity” to create a robot that is capable of performing a wide range of tasks. By incorporating a diverse range of sensors, motors, and other components, we could create a robot that is highly adaptable and can perform tasks that are beyond the capabilities of traditional industrial robots.
The Transformed YuMI Robot
Our new robot has a modular design that consists of various segments that can be combined and reconfigured to perform a wide range of tasks. The robot has a central control module that houses the main computer and communication interfaces, as well as power and data distribution systems.
The robot’s main body consists of a series of interconnected segments that can be customized to suit different applications. The segments are made of lightweight but durable materials such as carbon fiber and aluminum, which enable the robot to be agile and flexible while also being strong enough to support heavy loads.
At the top of the robot’s body are two sets of arms, each consisting of three interconnected segments. The arms are designed to be highly flexible and can rotate and bend in multiple directions to grasp and manipulate objects with precision. The robot’s grippers are equipped with sensors that allow them to detect the size, shape, and texture of the objects they are handling, enabling the robot to perform complex tasks with ease.
The robot is also equipped with a range of sensors and cameras that allow it to perceive and navigate its environment. These sensors include LiDAR, radar, and vision sensors, which provide the robot with 3D mapping and object recognition capabilities.
The robot’s mobility is provided by a set of omnidirectional wheels that enable it to move in any direction with ease. The wheels are powered by high-torque electric motors that provide the robot with the necessary speed and agility to navigate a variety of terrains.
Let’s visualize some of these ideas. I challenge you to move forward with better ideas.
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credits: Stelian Brad