Ensuring Safe Human-Robot Collaboration: The Role of Vision and Proximity Sensors

by PhdLifeTechnologyTechnology

Robots working alongside humans is becoming more and more probable as robotics technology develops. But when people and robots collaborate, safety is still a major issue. Vision and proximity devices can be used in this situation to guarantee secure human-robot interaction. Robots can detect people, objects, and obstacles in their environment due to vision sensors. They track and identify motion and shapes using cameras and other tools. Robots are able to identify and steer clear of humans and other objects with the help of this ability.

  • As the use of robots spreads across a variety of sectors, safety concerns regarding human-robot collaboration have taken on greater significance.
  • Robots can sense their surroundings and identify objects, people, and obstacles with the help of vision sensors.
  • Proximity sensors can help avoid collisions by detecting the existence of an object or person and their proximity to the robot.
  • By utilizing both kinds of sensors, robots can more accurately perceive their surroundings and decide how to interact with people.
  • Human-robot collaboration is becoming more prevalent in the industrial and healthcare sectors, but safety is still of utmost importance in these environments.
  • While sensors can significantly increase safety, human supervision and training are still necessary to guarantee secure and productive human-robot interaction.

On the contrary, proximity sensors can both sense the presence of an object or person and their proximity to the robot. They employ a variety of technologies, including ultrasonic, capacitive, and infrared sensors, to identify changes in the environment and warn the robot to stop or slow down when a person is close. Robots can more accurately sense their surroundings and decide how to interact with people by combining these two kinds of devices. A robot in a manufacturing environment, for instance, could use vision sensors to recognize nearby people and proximity sensors to determine their closeness. The robot may slow down or halt if the person approaches too closely in order to prevent a collision.

Healthcare is a further application where vision and proximity sensors can be used for secure human-robot collaboration. When working with vulnerable patients, safety is of the highest importance. Robots can help medical workers with tasks like lifting and transporting patients. While proximity sensors can warn the robot to halt if the patient approaches too closely, vision sensors can track the patient’s position and movements. Additionally, sensors can be used by robots to track their own motion and recognize when something is wrong. For instance, a robot with a broken arm may be able to sense when it is moving too quickly or in the incorrect direction and stop before it does any damage. While sensors can significantly increase safety in human-robot collaboration, it is essential to remember that they are not infallible. For the collaboration between humans and robots to be secure and productive, human supervision and instruction are still necessary.

Finally, the integration of vision and proximity sensors can significantly improve the security of human-robot interaction in a variety of contexts, from manufacturing to healthcare. The distance between a person and a robot can also be determined using a depth camera, but it is more difficult to attach multiple cameras to the robot’s skin than it is to attach numerous proximity sensors to various regions of the skin in order to calculate the precise distance from various angles and prevent collisions. The project we’re working on also makes use of a camera and a proximity sensor for secure human-robot collaboration.

 

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Investment in Knowledge and The Changing Role of Money

by Perspectives

Constantly Changing

“An investment in knowledge pays the best interest.” – Benjamin Franklin

It would seem that doing a PhD follows a path. A clear path that follows motivation, passion, and ambition. A direction from A to Z. But what really doing a PhD is about is uncertainty, breakthrough, and willpower. You find yourself on a path when you are being pushed onto the next one, again and again. While that sounds taxing and unnerving, it can also be very fulfilling.

Day to day I keep adding keywords onto my list. I read and continue exploring. Like Sherlock Holmes I discover and rediscover. Robo-advisors, the main subject of my research project, are so much more than an investment tool. Robo-advisors are here to stay. Are they going to revolutionize the finance industry? Maybe. Looking at my generation, the changes in societal values, the economic landscape—so much has changed in the last decade.

Money is a Mood

While the world has become so dynamic and noisy money is somewhat silent. While it guides everything we do for ourselves and each other, everything we can afford and live, money is like the motor in the background that keeps everything moving. When I grew up money was to be put in a savings account (or a little porcellan pig). You would have a little paper notebook where you could keep track of your progress. And I had only one goal: I wanted to progress towards a driver’s license. Driving a car meant freedom and to go wherever, whenever I wanted. Money can buy dreams. Today, it means so much more than individual dreams. It means dreams for a future, for a sustainable planet, for shared wealth. Perhaps money is not so silent after all.

“The biggest risk of all is not taking one.” – Mellody Hobson, Co-CEO of Ariel Investments

Saving has lost value over the years while investing has never been more attainable than it is today. When I used to think about investment, I thought about the Wall Street. About white-collar men, aggressively yelling at the phone, staring at numbers. But everyone can invest, and robo-advisors are making exactly that so much easier.

Neither This Nor That

The robo-advisor is not just a tool. Neither is it an advisor or a robot—despite its name. Behind a robo-advisor lies an apposition of numbers and codes, a gigantic pool of data. Some of them already use artificial intelligence. Robo-advisors range from simple questionnaire tools to conversational bots or personified ones with names like Nora or SoFi. We switch out the white-collar men for an algorithmic tool to take our hand and guide us to our best investment strategy. Research has found that robo-advisors in many ways outperform human advisors.

“We’re one to two years away from a machine that can debate with you on your investment hypothesis.” – Pavel Abdur-Rahman, IBM

Yet, humans require human touch, human interaction. We do not want to hide our money under the mattress anymore, but we do want to trust someone with our money. We want a money doctor.

Where to?

Any technology on the outside looks like yet another tool, another promise, another thing to spend money and time on. The deeper I looked at a technology, the more layers I see. A technology is always part of a system, such as societal or organizational. We add it into our environment and seek to advance, extend, or replace human ability. The potential is vast. The challenge to merge the two worlds vaster. With robo-advisors we change money, we change investment, and, without noticing it, we change not only our behaviors as investors, but we change our workforce too. And with so many changes confronted, we have uncertainty about asking the right questions, but we use our willpower and find breakthrough answers.

Photo by Phillip Glickman: Unsplash