Today’s Technological Innovations in Collaborative Robots

Collaborative robots have changed dramatically since the first installation of a collaborative robotic arm just over a decade ago. Initially, an innovative robotic technology, collaborative robots have continued to improve in their safety features, the number, and diversity of tasks they can automate, as well as their efficiency in industrial settings.

The rapid evolution of collaborative robots has helped address some of the most pressing challenges in robotic automation. These robots have become smarter, more productive, and more flexible by leveraging some of the most cutting-edge technology in existence.

3 New Technologies in Collaborative Robots

Collaborative robots automate tasks that traditional industrial robots cannot, especially when combined with the latest technology, pushing the limits of what’s possible with robotic automation.

1. Advanced Grippers

Grippers have evolved to become an intelligent and advanced part of automation and are essential to the core function of collaborative robots. New innovations such as soft grippers allow collaborative robots to handle soft or hard parts by using flexible materials and fluid or air pressure. Some new grippers leverage electro-adhesion technology or a multitude of sensors for more accurate, automated gripper guidance. Better grippers are reducing the need for retooling and drain over, improving productivity and flexibility in collaborative robots.

ROI Calculator

Discover the potential cost savings of robotic automation over a 20-year system life

This calculator compares your current manual labor costs against the total cost of owning and operating a robotic system over its 20-year lifespan.

EXPLORE TODAY

2. Embedded Vision

Embedded vision systems have been an important part of the evolution of collaborative robots and will continue to be a vital component moving forward. Today, embedded vision systems are capable of detecting the presence of humans and avoiding unsafe operations or harmful collisions by triggering the shutdown of the robot. They’re also used to help robots more accurately identify the location, shape, and orientation of a part for greater flexibility.

3. Machine Learning

Machine learning is making great advances in collaborative robots, helping to drastically reduce integration and programming requirements. Some collaborative robots can be trained by hand-guidance, while others are beginning to be able to pick and place objects they’ve never seen before. Machine learning significantly improves the flexibility of collaborative robots. Even greater innovations from machine learning and artificial intelligence are likely around the corner.

The latest technologies are advancing the capabilities of collaborative robots, in turn expanding the possibilities of robotic automation.

Collaborative robots are a relatively new robotic technology, but they’ve advanced rapidly as the market has quickly realized their return on investment (ROI) and productivity potential. Today’s technological innovations enhance the abilities of collaborative robots, but even more radical innovations are just on the horizon.