The impending need for Design Thinking In Robotics Automation is becoming a sore subject now. Creating robots that are welcoming appear to be quite familiar to ourselves and we’re more likely to respond to them with positivity to help them learn and develop amiable personalities. To understand the importance of design thinking in robotics, let’s first understand why is design thinking so popular? Design thinking is like thinking “out of the box” and, it has become a buzzword among global corporations now. But “what makes design thinking so special?” Well, it has a human-centered core – it’s both an ideology and a process to solve highly-complex problems in a user-oriented way. This also implies why design thinking in robotics is so important and no wonder why all the great innovators in music, literature, and business couldn’t resist practicing it.

Design Thinking In Robotics Automation

It’s no surprise how little things can sometimes make a huge difference and when it comes to robotics, programming them does sound like a challenging task but it’s not impossible. Design thinking breaks the barriers of imagination to make a positive difference and a good design can make a roughest process both enticing and accessible. As of today, many businesses try to automate through robots that can perform human routine actions – albeit, automating routine activity with lack of imagination requires no innovative thinking.
Taking an in-depth look at any robotic automatic journey, it’s evident that it needs to be responsive; answering questions such as what, why, who, when, and how? But oftentimes, the answers to these questions get stumped in executive pitches and due to such misapprehension of discipline and application, their significance in design thinking often fails.

Let’s dive into design thinking in robotics automation and connect both programs!


The first stage of design thinking “empathize” begins with understanding and allowing consultants to look at the users’ standpoint to understand their unmet needs. Consultants, as part of the robotic transformation journey, must have a deep insight into business processes and relevant issues before picking them out for automation. Also, all mandatory details about the processes, gaps, and other weak spots must be available. Persistent questioning can help consultants record relevant issues and frame the problems. Plus, automation should be an afterthought and not the driving force.


During the “Define” stage of design thinking, the information integrated as part of the “empathize” stage probe to congeal the business problems and helps to steer brainstorming in the right direction. Automating processes via robots requires having the detail of every minute and further analysis of information can help in understanding the processes in-depth and discuss the potential possibilities for the improvement processes.


In this stage, you think “outside the box” to identify new solutions to the problem statement you’ve created, and find alternative ways of viewing the problem. Gaps of communication are pulling out to incite the team to arrive at a list of solutions that can be further validated. Such detailed information on processes helps the automation team to finish the automation applicants. Before any further discussion on the automation, potential process improvement options are evaluated. A proof of concept to substantiate the finest possible solution option is available next, before making any progress with the enterprise-scale robotic transformation.


In this phase, your design team builds an inexpensive, scaled-down version of the product to investigate the problem solutions generated in the previous stage. Information, analysis, observations, alternatives, and final solutions provide robotic designers with the needed weapon to create a scaled-down robot.
Prototypes are designed, given the perfect scenarios with slight exception handling capabilities. But robotic transformations are successful on the condition that the created prototypes reflect the main features of full-scale bots. Moreover, the robot design must rationalize non-functional design requirements during prototyping, along with the process automation requirements to provide users with a view of a robot that reflects a powered one. Yet, during this stage, creating robots that reflect the possible scenarios with minimal exception handling results in a robot that fails to meet customer’s desires.


The final stage is the realization of the designed solution, as you test the completed product using the best solutions identified during the prototyping phase. The process of designing, building, and testing continues to go through iterations until you achieve the final product. The final automation solution then brings a continuous stream of value based on prototype testing and feedback. The final robot delivered should mirror a solution – built to empathize with the customer process automation requirements and concerns.


As technology change is picking up pace with each passing day, customers’ expectations are also getting higher, and so does the bot use in our daily lives. So, it’s imperative to leverage design thinking in robot automation processes to create an overview of drawbacks, find room for improvement, and create prototypes to see the effect to cope with the demanding ecosystems. The main purpose of design thinking is to ward off from procedural thinking to discover more innovative problem-solving ways. Taking robotic engagements into consideration, solutions are driven by platform capabilities, bringing out “can-do” lists. Although they prove insight of potential solutions, the “can’t do” shows strategic thinking’s eighth dimension – which helps to discover the potential of creating bots that don’t only meet customers’ needs but also surmount them.

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