The Importance of Adaptability in the Industrial Robotics Sector

Automation systems are predicted to account for 25% of capital spending in the industrial sector within the next five years, with CPG and logistics and fulfillment predicted to spend the most. At the same time, the automotive sector is staring down the barrel of EVs and how they will affect automated manufacturing, and e-commerce is increasing the demand for mobile robots.

There’s a lot going on in industrial robotics. We’re seeing automation spread across all sectors of industry, with the most common applications of automation technology being palletizing, material handling, counting, and sorting. And with the advent of mobile robots, we’re also seeing the possible applications of robotics proliferate.

With this new automation technology evermore available and constantly developing, the major obstacle that arises is actually implementing this new technology. While new manufacturing facilities may be able to start from scratch, existing companies need innovative, flexible and adaptive implementation of robotic automation to truly unlock their potential.

Automation Helps Manufacturers Work Around Labor Obstacles

Manufacturers today face logistical hurdles to overcome when it comes to human labor. It’s widely acknowledged there is higher demand than supply of human capital. Couple this shortage with the inherent problems and inconsistency that come with human error – especially in repetitive tasks – and it’s easy to see why automation is the best solution.

4D machine vision technology has revolutionized the field of industrial robotics, offering automated options for processes like counting, palletizing and identifying surface defects like porosity in metals manufacturing. It has increased robot processing speeds, enhanced safety via obstacle identification and reroute, and boosted their adaptability in terms of environmental and task-based changes.

As well, AI software focused on machine response has made collaborative and mobile robots much more adaptable and flexible, making that theory of how useful robotic automation could be into an applicable reality. AI software for industrial robots has made them capable of completing more complex tasks, planning and decision-making, and performing predictive maintenance. It’s this software that also expands robots’ ability to cooperate and interact with human workers.

Common Types of Industrial Robotic Process Automation

There are several types of industrial robots, each with different applications and different approaches to human-machine interaction:

• Articulated (multi-axis and complex)
• Cartesian (xyz linear)
• Collaborative (direct human interaction, simple to complex)
• Cylindrical (vertical and slide)
• Delta/Parallel (pick/place)
• Polar (cast and mold)
• SCARA (lateral)

As well, many warehouse-style facilities like inventory, distribution, storage, or data centers, are beginning to incorporate autonomous robots. These robots use vision tech and machine learning to move around the facility and complete tasks on their own, completely replacing the need for a worker to store/retrieve difficult-to-find items.

And robotics can be applied to nearly every facet of a company’s operations:

• Order fulfillment: receiving and processing orders, picking and packing products, shipping orders to customers
• Inventory management: inventory tracking, forecasting, replenishment
• Manufacturing: production planning, quality control, machine maintenance
• Customer service: responding to customer inquiries, processing customer orders, resolving customer issues
• Accounting and finance: accounts payable, accounts receivable, financial reporting
• Human resources: payroll processing, onboarding new employees, managing benefits

Automation Companies Help Manufacturers Overcome Robot Obstacles

Just as there are human labor obstacles to navigate when adopting robotic systems, manufacturers also face automated labor obstacles at the front end of the process: implementation. Humans need to be even more adaptable than the robots they use; the perception of change is a significant pitfall when it comes to a company’s decision on whether or not to utilize robot automation systems.

There’s another facet to that adaptability, though, and it needs to happen on the part of the control system integrator. Robotics automation companies need to understand the unique goals of each manufacturer and design an integrated control system that fits into the operational culture of that company. This requires experienced, creative engineers that involve people every step of the way – from initial assessment to turnkey implementation, training and ongoing support.

The relationship between manufacturing client and system integrator is all-important when it comes to adopting automated systems and integrating robots with their human resources. Since this perceptual and physical reorganization is such a bottleneck to the expansion of robotic automation, partnering with a system integrator known for their effective, leading-edge automation services is key to riding the front of the robotics wave.

Automation systems are predicted to account for 25% of capital spending in the industrial sector within the next five years, with CPG and logistics and fulfillment predicted to spend the most. At the same time, the automotive sector is staring down the barrel of EVs and how they will affect automated manufacturing, and e-commerce is increasing the demand for mobile robots.

There’s a lot going on in industrial robotics. We’re seeing automation spread across all sectors of industry, with the most common applications of automation technology being palletizing, material handling, counting, and sorting. And with the advent of mobile robots, we’re also seeing the possible applications of robotics proliferate.

With this new automation technology evermore available and constantly developing, the major obstacle that arises is actually implementing this new technology. While new manufacturing facilities may be able to start from scratch, existing companies need innovative, flexible and adaptive implementation of robotic automation to truly unlock their potential.

Automation Helps Manufacturers Work Around Labor Obstacles

Manufacturers today face logistical hurdles to overcome when it comes to human labor. It’s widely acknowledged there is higher demand than supply of human capital. Couple this shortage with the inherent problems and inconsistency that come with human error – especially in repetitive tasks – and it’s easy to see why automation is the best solution.

4D machine vision technology has revolutionized the field of industrial robotics, offering automated options for processes like counting, palletizing and identifying surface defects like porosity in metals manufacturing. It has increased robot processing speeds, enhanced safety via obstacle identification and reroute, and boosted their adaptability in terms of environmental and task-based changes.

As well, AI software focused on machine response has made collaborative and mobile robots much more adaptable and flexible, making that theory of how useful robotic automation could be into an applicable reality. AI software for industrial robots has made them capable of completing more complex tasks, planning and decision-making, and performing predictive maintenance. It’s this software that also expands robots’ ability to cooperate and interact with human workers.

Common Types of Industrial Robotic Process Automation

There are several types of industrial robots, each with different applications and different approaches to human-machine interaction:

• Articulated (multi-axis and complex)
• Cartesian (xyz linear)
• Collaborative (direct human interaction, simple to complex)
• Cylindrical (vertical and slide)
• Delta/Parallel (pick/place)
• Polar (cast and mold)
• SCARA (lateral)

As well, many warehouse-style facilities like inventory, distribution, storage, or data centers, are beginning to incorporate autonomous robots. These robots use vision tech and machine learning to move around the facility and complete tasks on their own, completely replacing the need for a worker to store/retrieve difficult-to-find items.

And robotics can be applied to nearly every facet of a company’s operations:

• Order fulfillment: receiving and processing orders, picking and packing products, shipping orders to customers
• Inventory management: inventory tracking, forecasting, replenishment
• Manufacturing: production planning, quality control, machine maintenance
• Customer service: responding to customer inquiries, processing customer orders, resolving customer issues
• Accounting and finance: accounts payable, accounts receivable, financial reporting
• Human resources: payroll processing, onboarding new employees, managing benefits

Automation Companies Help Manufacturers Overcome Robot Obstacles

Just as there are human labor obstacles to navigate when adopting robotic systems, manufacturers also face automated labor obstacles at the front end of the process: implementation. Humans need to be even more adaptable than the robots they use; the perception of change is a significant pitfall when it comes to a company’s decision on whether or not to utilize robot automation systems.

There’s another facet to that adaptability, though, and it needs to happen on the part of the control system integrator. Robotics automation companies need to understand the unique goals of each manufacturer and design an integrated control system that fits into the operational culture of that company. This requires experienced, creative engineers that involve people every step of the way – from initial assessment to turnkey implementation, training and ongoing support.

The relationship between manufacturing client and system integrator is all-important when it comes to adopting automated systems and integrating robots with their human resources. Since this perceptual and physical reorganization is such a bottleneck to the expansion of robotic automation, partnering with a system integrator known for their effective, leading-edge automation services is key to riding the front of the robotics wave.

Cybersecurity is Key to Successful Robotics Implementation

While the shift to digital has already brought IT to the forefront of operational security in the industrial sector, the shift to automation has compounded its importance. IIoT and robots need to be integrated on a network as well as a cloud, and this leaves companies susceptible to system failures caused by bad actors.

These are hazards that can be circumvented with a threefold approach to IT management for robotics automation: thorough risk assessments, advanced cybersecurity measures, and redundant system integration that ensures the operator is always aware of the status of their system.

Manufacturers need to partner with automation firms known for their spAutomation systems are predicted to account for 25% of capital spending in the industrial sector within the next five years, with CPG and logistics and fulfillment predicted to spend the most. At the same time, the automotive sector is staring down the barrel of EVs and how they will affect automated manufacturing, and e-commerce is increasing the demand for mobile robots.

There’s a lot going on in industrial robotics. We’re seeing automation spread across all sectors of industry, with the most common applications of automation technology being palletizing, material handling, counting, and sorting. And with the advent of mobile robots, we’re also seeing the possible applications of robotics proliferate.

With this new automation technology evermore available and constantly developing, the major obstacle that arises is actually implementing this new technology. While new manufacturing facilities may be able to start from scratch, existing companies need innovative, flexible and adaptive implementation of robotic automation to truly unlock their potential.

Automation Helps Manufacturers Work Around Labor Obstacles

Manufacturers today face logistical hurdles to overcome when it comes to human labor. It’s widely acknowledged there is higher demand than supply of human capital. Couple this shortage with the inherent problems and inconsistency that come with human error – especially in repetitive tasks – and it’s easy to see why automation is the best solution.

4D machine vision technology has revolutionized the field of industrial robotics, offering automated options for processes like counting, palletizing and identifying surface defects like porosity in metals manufacturing. It has increased robot processing speeds, enhanced safety via obstacle identification and reroute, and boosted their adaptability in terms of environmental and task-based changes.

As well, AI software focused on machine response has made collaborative and mobile robots much more adaptable and flexible, making that theory of how useful robotic automation could be into an applicable reality. AI software for industrial robots has made them capable of completing more complex tasks, planning and decision-making, and performing predictive maintenance. It’s this software that also expands robots’ ability to cooperate and interact with human workers.

Common Types of Industrial Robotic Process Automation

There are several types of industrial robots, each with different applications and different approaches to human-machine interaction:

• Articulated (multi-axis and complex)
• Cartesian (xyz linear)
• Collaborative (direct human interaction, simple to complex)
• Cylindrical (vertical and slide)
• Delta/Parallel (pick/place)
• Polar (cast and mold)
• SCARA (lateral)

As well, many warehouse-style facilities like inventory, distribution, storage, or data centers, are beginning to incorporate autonomous robots. These robots use vision tech and machine learning to move around the facility and complete tasks on their own, completely replacing the need for a worker to store/retrieve difficult-to-find items.

And robotics can be applied to nearly every facet of a company’s operations:

• Order fulfillment: receiving and processing orders, picking and packing products, shipping orders to customers
• Inventory management: inventory tracking, forecasting, replenishment
• Manufacturing: production planning, quality control, machine maintenance
• Customer service: responding to customer inquiries, processing customer orders, resolving customer issues
• Accounting and finance: accounts payable, accounts receivable, financial reporting
• Human resources: payroll processing, onboarding new employees, managing benefits

Automation Companies Help Manufacturers Overcome Robot Obstacles

Just as there are human labor obstacles to navigate when adopting robotic systems, manufacturers also face automated labor obstacles at the front end of the process: implementation. Humans need to be even more adaptable than the robots they use; the perception of change is a significant pitfall when it comes to a company’s decision on whether or not to utilize robot automation systems.

There’s another facet to that adaptability, though, and it needs to happen on the part of the control system integrator. Robotics automation companies need to understand the unique goals of each manufacturer and design an integrated control system that fits into the operational culture of that company. This requires experienced, creative engineers that involve people every step of the way – from initial assessment to turnkey implementation, training and ongoing support.

The relationship between manufacturing client and system integrator is all-important when it comes to adopting automated systems and integrating robots with their human resources. Since this perceptual and physical reorganization is such a bottleneck to the expansion of robotic automation, partnering with a system integrator known for their effective, leading-edge automation services is key to riding the front of the robotics wave.

Cybersecurity is Key to Successful Robotics Implementation

While the shift to digital has already brought IT to the forefront of operational security in the industrial sector, the shift to automation has compounded its importance. IIoT and robots need to be integrated on a network as well as a cloud, and this leaves companies susceptible to system failures caused by bad actors.

These are hazards that can be circumvented with a threefold approach to IT management for robotics automation: thorough risk assessments, advanced cybersecurity measures, and redundant system integration that ensures the operator is always aware of the status of their system.

Manufacturers need to partner with automation firms known for their specialized IT/OT engineers and adept custom system integration in order to ensure the security of their robotic systems. Control system integrators who partner with elite automation companies like Rockwell, AVEVA, Siemens, and Inductive Automation are able to offer clients secure automation system solutions that utilize the latest in scalable, state-of-the-art robotics control design.

Collaborative & Mobile Robots Need to Interface with the Workforce

Perhaps just as important as the quality of the robots and automation system you implement is the quality of the human-machine interfacing. The people running your facility need to understand how to interact with robots, especially when dealing with collaborative and mobile robots.

Truly implementing robotic automation isn’t about replacing human labor, but streamlining operations and allowing human capital the space they need to perform more critical tasks, avoiding repetitive and/or dangerous ones. Robots can supplement human labor shortages, collaborate with critical human labor, and drastically cut the costs associated with time-consuming repetitive tasks and human error.

E Tech Group automation engineers involve our clients’ key players at every step of the process, whether it’s an end-to-end project or replacing one piece of obsolete equipment with robotic automation. Mass retraining on how to interact with or alongside robots, as well as the integrated control system, allows clients to best utilize this cutting-edge technology, improving their operations in the process.

Operational Benefits of Implementing Robotics Automation

Incorporating robotics into mechanized processes has potentially limitless implications for a manufacturer’s present and future viability. These include:

Increased Efficiency and Productivity

• Robotics automation streamlines repetitive tasks, enabling faster and more consistent production.
• Unlike human labor, robots can operate 24/7 with minimal downtime, significantly boosting throughput.
• Robotic palletizing solutions improve cycle times and minimize product handling errors.

Improved Quality and Consistency

• Robotics automation ensures consistent performance, reducing human error and improving product quality.
• Robots follow precise programming instructions, ensuring identical results in every production cycle.
• Vision-guided robots inspect products with greater precision, reducing defects.

Reduced Costs and Higher ROI

• Although robotics systems involve upfront investment, they offer substantial long-term savings.
• By automating labor-intensive processes, companies can reduce reliance on manual labor and associated costs.
• Predictive maintenance enabled by robotics minimizes unplanned downtime and prevents costly repairs.
• The expected ROI from robotics processing automation adoption can range from 30-200% in the first year, with a potential long-term ROI of up to 300%.

Enhanced Safety and Reliability

• Robotics systems take on hazardous or physically demanding tasks, reducing the risk of workplace injuries.
• Collaborative robots work safely alongside humans.
• Automated material handling reduces the need for manual lifting.
• Companies using robotics for dangerous tasks report improved health and safety experiences.

Greater Flexibility and Scalability

• Modern robotics systems are highly adaptable, making it easy to scale production as demand increases.
• Flexible robotics solutions accommodate customizable programming for different tasks.
• Manufacturing plants can use robotics to handle multiple model variations without reconfiguring entire production lines.
• Modular robotic cells allow manufacturers to add or reprogram robots as production needs evolve.

In short – robotics automation can supercharge a manufacturer’s capabilities in the present, and future-proof operations scalability and labor limitations. However, for these benefits to be fully realized, control system integrator and client must incorporate the values we’ve discussed:

• Thorough assessments, analysis and planning should inform actions of all relevant parties from project start to finish.
• Risks must be identified and analyzed so the automation company can design a system with redundant security features that minimize cybersecurity vulnerabilities. For every automated piece of equipment a facility adds – robot or not – the system becomes more vulnerable. Integrator and client must work closely to develop a security plan.
• During project development and system design, staff from shop floor to top floor should be included – keeping everyone informed throughout a robotics upgrade helps avoid pitfalls related to the psychology of change.
• Prior to full implementation, the system integrator must provide comprehensive training on the new robots and automated system design. This helps avoid pitfalls that stem from unfamiliarity with a new system. The automation company upgrading the system and control panels should focus on creating user-friendly HMIs that can easily be accessed and configured on the floor.
• Ongoing system support by the integration contractor on-premise and remotely will help smooth the rest of the bumps in the road that are a natural consequence of transitioning to robotics.

Robotics Automation Across Key Industries

Robotics automation is transforming multiple industries, enhancing productivity, consistency, and precision. Here’s how different sectors are leveraging robotics to optimize operations.

Enhanced Precision and Compliance in Life Sciences and Pharmaceuticals

In life sciences, robotics automation ensures precise handling of delicate materials and reduces contamination risks. Robots are used for lab sample handling, dosing, and sterile processing, improving accuracy and consistency.

Key Applications:

• Liquid handling to dispense precise chemical doses
• Sterile material handling minimizes contamination risks
• Automated lab systems speed up processing times

Improved Product Quality in the Food and Beverage Sector

Robotics play a critical role in food processing, packaging, and quality control, ensuring consistency and efficiency. Robots perform tasks like palletizing, sorting, and case packing, reducing labor costs.

Key Applications:

• Pick-and-place automation to sort and pack food items with greater efficiency
• Automated inspection detects defects or inconsistencies

Optimized Inventory Management and Fulfillment in Logistics and Warehousing

Robotics automation is transforming warehousing and logistics by streamlining material handling and order fulfillment. Automated systems increase efficiency, reduce labor reliance, and enhance order accuracy.

Key Applications:

• Autonomous Mobile Robots (AMRs) used for transporting goods in warehouses reduce order processing times, leading to a significant reduction in order fulfillment costs
• Automated sorting and palletizing lowers shipping errors and enhances efficiency

Greater Efficiency in Automotive Manufacturing

In manufacturing, robots handle assembly, welding, and quality inspection, improving overall consistency. Robotics automation enables flexible production lines, accommodating model variations.

Key Applications:

• Robotic welding systems with near-perfect accuracy
• Assembly line robots perform repetitive tasks with speed and precision

Upgraded Safety and Reliability in Wastewater and Utilities

Robotics automation enhances efficiency and safety in wastewater treatment and utility operations. Robots can perform risk-free inspections, maintenance, and data collection in hazardous environments.

Key Applications:

• Pipe inspection robots detect leaks and assess infrastructure conditions, reducing manual labor and lowering safety risks
• Automated maintenance, routine cleaning, and valve adjustments improve system uptime

E Tech Group: Innovative, Disruptive Automation System Integration for Robotics

As the field of industrial robotics progresses and proliferates, manufacturers need control system solutions that make the most of this state-of-the art automation technology. Robotics automation companies need to be just as adaptable as the equipment they’re automating, with reliable control system design that allows for scale while adhering to strict industry standards.

E Tech Group is one of the largest control system integrators in North America, offering robotics automation services to a diverse group of industrial clients who want to expand their capabilities while remaining flexible for inevitable developments in automation technology. Our robotics clients can expect intuitive control system design, cybersafe integrated automation systems, training, and ongoing system support.

Plan for the future of your manufacturing enterprise by planning for the future of industrial robotics.