Robotics
Figure 3: Machine sensors make images using arrays of pixels. Courtesy: Frank Lamb, Automation Primer
Robotics December 6, 2018

What is machine vision, and how can it help?

Understanding how machine vision works will help you see if machine vision will clear up specific application difficulties in manufacturing or processing.

By Frank Lamb
MIT researchers describe an autonomous system for a fleet of drones to collaboratively search under dense forest canopies using only onboard computation and wireless communication — no GPS required. Courtesy: Melanie Gonick, MIT
Robotics November 24, 2018

Drones designed to aid in search missions without GPS

MIT researchers have developed a system that allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable, which could be useful in plant disaster and safety situations.

By Rob Matheson
Courtesy: Bob Vavra, CFE Media
Robotics November 18, 2018

Four challenges for aerospace robots

The aerospace industry is a tough, exacting industry. Robot users and integrators face challenges such as increased human-robot collaboration and the constant demand for precision and efficiency.

By Robotic Industries Association (RIA)
MIT researchers have developed a semantic parser that learns through observation to more closely mimic a child’s language-acquisition process, which could greatly extend computing’s capabilities. Courtesy: MIT News
Robotics November 14, 2018

Machines learning language like kids

MIT researchers have developed a semantic parser that learns through observation to more closely mimic a child’s language-acquisition process, which could greatly extend computing’s capabilities.

By Rob Matheson
Courtesy: Bob Vavra, CFE Media
Robotics November 11, 2018

Four potential futuristic attributes of collaborative robots

Collaborative robots will continue to evolve and future research may allow them to become more interactive and adaptable to human behavior.

By Robotic Industries Association (RIA)
Robotiq's 2F-85 and 2F-140 adaptive grippers are designed for collaborative robots and their finger bases have been redesigned to simplify fingertip changeover and help ensure a strong grip. Courtesy: Robotiq
Robotics November 6, 2018

Adaptive grippers for collaborative robots

Robotiq's 2F-85 and 2F-140 adaptive grippers are designed for collaborative robots and their finger bases have been redesigned to simplify fingertip changeover and help ensure a strong grip.

By Robotiq
Robotics October 27, 2018

Fenceless robots taking on new shapes and forms

Fenceless robots are taking on a number of different sizes and forms beyond the collaborative robot as robotic technology has progressed.

By Robotic Industries Association (RIA)
Robotics October 25, 2018

Robotic machine vision systems help automotive manufacturers

Integrators have developed sophisticated robotic machine vision systems comprising numerous cameras mounted on a fixed frame to capture many images of an automotive product for quality assurance purposes.

By Winn Hardin, AIA
Robotics October 21, 2018

Vision-guided robot trends impacting manufacturing

Vision-guided robots, from industrial robotic arms to autonomous mobile robots (AMRs), are a quickly growing segment of robotics thanks to trends like 3-D vision and increased adoption.

By Robotic Industries Association (RIA)
Robotics October 20, 2018

Simulation model helps robots navigate more like humans

MIT researchers have now devised a way to help robots navigate environments more like humans do by letting robots determine how to reach a goal by exploring the environment, observing other agents, and exploiting what they’ve learned before in similar situations.

By Rob Matheson, MIT News Office