What do you do if you're asked about your proficiency with certain robotics technologies?

Assess our robotics strengths, both in h/w and s/w. Be very clear about the experience with microcontrollers, sensors, or robot mechanics. During the interview, tailor response to the role's requirements. If the job focuses on robot perception, highlight the sensor experience. Showcase relevant projects and the ability to learn new areas like kinematics. If new to robot kinematics, let them know you're a fast learner eager to expand. Even with limited robotics exp, emphasize usable skills from engineering, math. Problem-solving, analytical thinking, and a passion for learning are highly valuable.

There are plenty of areas which is under robotics. Not just humanoid robots showed in popular videos are a part of it. So, explaining the area of expertise with being specific and telling your experience you have gained so far along with your portfolio would help better.

Ditch the generic answers. Impress them with specifics. Mention concrete projects or technologies used. For example, if you programmed an autonomous robot using ROS, detail the sensors you've incorporated & the obstacles we've tackled. This shows our hands-on experience and in-depth understanding of the field. Quantify achievements whenever possible. Measurable results add weight to our claims and expertise.

Talk about the projects you've really done. Mention all the tripping points and challenges and what you did to get around them. Tangible results trump any theoretical jargon you could throw at someone. Talking about coordinate transformations are less effective than talking about how you taught a camera frame and made a robot do vision guided pick and place, even though you might be proving the same skill.

Discuss a challenging situation where your expertise made a difference. Maybe you optimized a robot’s path planning algorithm to reduce cycle time.

Showcasing examples in robotics is greatly advantageous, as it not only showcases your proficiency in the field but also illustrates the vast potential and applications that your robotic expertise can achieve.

If you do not know what is asked for. Try to explain something you know well and how you acquired that knowledge. Then explain how you will repeat the similar journey to learn the missing skill.

When discussing the proficiency, go beyond just listing skills. Mention specific projects where we've used robotics technology – like programming a bot with ROS. Impress them with the specifics about sensors used to enable the bot, & the way you've overcomed challenges. This showcases our hands-on experience and in depth understanding. Show enthusiasm(the secret sauce) Express passion for robotics and eagerness to learn new technologies. This conveys our willingness to tackle challenges and keep pace with the evolving field.

Express your passion beyond technical jargon. Share how robotics inspires you, whether it’s the potential for automation, enhancing human lives, or exploring uncharted territories. For example: “I’m genuinely excited about the convergence of robotics and healthcare. Developing assistive exoskeletons for rehabilitation motivates me to push boundaries.”

Always will be something you may had heard about but never really applied it , so discuss learning and understanding new ground is fundamental to keep developing and growing.

Right on the money with this one. Own the fact that you're on your own path of learning within this field and since it's constantly changing--and in such a rapid fashion, it's liable that you're not familiar with at least some part of the sphere of influence of Robotics. Always good to ask where the other party learned such things or could recommend resources to help you garner further learning so that you can discuss further the topic at hand at a later date.

Emphasize adaptability across different platforms. Discuss how you transitioned from ROS to MATLAB for a vision-based project or from PLC programming to Python for a mobile robot.

Be honest. Don't know it. Say so. Willing to learn--you bet! I love the field, so why wouldn't I want to learn as much as possible to make a better robot to help humanity get further along?

Let's say it's something that I've personally worked on: I can talk about examples in the process of what worked, what took too long to realize was a dead end, and what didn't work at all but were learning experiences. If I don't understand the questions subject I will honestly say so because I would rather be ignorant with the ability to learn something new than coming off as falsely knowing things that I can't back up.

An important aspect to consider is risk mitigation for your employer. You must present yourself as a low-risk investment that can yield high returns in profit for the company with minimal training (an upfront cost for them). Remember that you will initially cost them actual money due to the time you take away from colleagues training you. Show them that you have worked on projects incredibly similar if not identical to what they want you to be doing. This will make you the least risky employment candidate. Now add to that evidence that you are a fast learner, a creative innovator and work well in teams. This proves that you may yield high returns down the line.