Embedded Optical Sensors Could Make Robotic Hands More Dexterous
September 28, 2015 | Carnegie Mellon UniversityEstimated reading time: 3 minutes
Optical sensors may be uniquely suited for use in robotic hands, according to Carnegie Mellon University researchers who have developed a three-fingered soft robotic hand with multiple embedded fiber optic sensors. They also have created a new type of stretchable optical sensor.
By using fiber optics, the researchers were able to embed 14 strain sensors into each of the fingers in the robotic hand, giving it the ability to determine where its fingertips are in contact and to detect forces of less than a tenth of a newton. The new stretchable optical sensing material, not incorporated in this version of the hand, potentially could be used in a soft robotic skin to provide even more feedback.
“If you want robots to work autonomously and to react safely to unexpected forces in everyday environments, you need robotic hands that have more sensors than is typical today,” said Yong-Lae Park, assistant professor of robotics. “Human skin contains thousands of tactile sensory units only in the fingertip and a spider has hundreds of mechanoreceptors on each leg, but even a state-of-the-art humanoid such as NASA’s Robonaut has only 42 sensors in its hand and wrist.”
Stretchable Optical Sensor
The new stretchable optical sensor coud be used in a soft rotobic skin to detect contact and measure force.
Adding conventional pressure or force sensors is problematic because wiring can be complicated, prone to breaking and susceptible to interference from electric motors and other electromagnetic devices. But a single optical fiber can contain several sensors; all of the sensors in each of the fingers of the CMU hand are connected with four fibers, although, theoretically, a single fiber could do the job, Park said. And the optical sensors are impervious to electromagnetic interference.
The Carnegie Mellon researchers will discuss the robotic hand, developed together with researchers at Intelligent Fiber Optic Systems Corp., with support from NASA, Sept. 29 at the IEEE International Conference on Intelligent Robots and Systems, IROS 2015, in Hamburg, Germany. A report on the highly stretchable optical sensors will be presented Oct. 1 at the same conference.
“If you want robots to work autonomously and to react safely to unexpected forces in everyday environments, you need robotic hands that have more sensors than is typical today.” — Yong-Lae Park
Industrial robots, working in a controlled environment where people don’t venture, are capable of extremely precise manipulation with only limited sensors. But as roboticists at CMU and elsewhere work to develop soft robots that can interact routinely and safely with humans, increased attention to tactile and force sensing is essential, Park said.
Each of the fingers on the robotic hand mimic the skeletal structure of a human finger, with a fingertip, middle node and base node connected by joints. The skeletal “bones” are 3-D-printed hard plastic and incorporate eight sensors for detecting force. Each of the three sections is covered with a soft silicone rubber skin embedded with a total of six sensors that detect where contact has been made. A single active tendon works to bend the finger, while a passive elastic tendon provides opposing force to straighten the finger.
The hand, developed with mechanical engineering students Leo Jiang and Kevin Low, incorporates commercially available fiber Bragg grating (FBG) sensors, which detect strain by measuring shifts in the wavelength of light reflected by the optical fiber.
Despite their advantages, conventional optical sensors don’t stretch much – glass fibers stretch hardly at all and even polymer fibers stretch typically only 20-25 percent, Park noted. That is a limiting factor in a device such as a hand, where a wide range of motion is essential. Park has previously developed highly stretchable microfluidic soft sensors – membranes that measure strain via liquid-conductor-filled channels – but they are difficult to make and can cause a mess if the liquid leaks out.
So Park, working with mechanical engineering students Celeste To from CMU and Tess Lee Hellebrekers from the University of Texas, invented a highly stretchable and flexible optical sensor, using a combination of commercially available silicone rubbers. These soft waveguides are lined with reflective gold; as the silicone is stretched, cracks develop in the reflective layer, allowing light to escape. By measuring the loss of light, the researchers are able to calculate strain or other deformations.
Park said this type of flexible optical sensor could be incorporated into soft skins. Such a skin would not only be able to detect contact, as is the case with the soft components in the CMU hand, but also measure force.
Suggested Items
Accenture Invests in Sanctuary AI to Bring AI-Powered, Humanoid Robotics to Work Alongside Humans
03/27/2024 | BUSINESS WIREAccenture has made a strategic investment, through Accenture Ventures, in Sanctuary AI, a developer of humanoid general-purpose robots that are powered by AI and can perform a wide variety of work tasks quickly, safely and effectively.
AI-equipped Robots Help Logistics Industry to Fight Labor Shortages
03/13/2024 | IFRThe global logistics industry serves as a backbone of international trade - representing about 10 percent of the world´s GDP.
LG Makes Strategic Investment in Bear Robotics
03/12/2024 | PRNewswireLG Electronics (LG) is making a strategic investment move to expedite the advancement of its capabilities in service robotics, a key new business area of the company.
Top 5 Robot Trends 2024
02/15/2024 | IFRThe stock of operational robots around the globe hit a new record of about 3.9 million units. This demand is driven by a number of exciting technological innovations. The International Federation of Robotics reports about the top 5 automation trends in 2024:
AUKUS Defense Scientists Test Robotic Vehicles
02/06/2024 | U.S. DoDDefense scientists from Australia, the United Kingdom and the United States collaboratively tested a range of robotic vehicles and their sensors during a trial at Cultana Training Area, South Australia. The Trusted Operation of Robotic Vehicles in a Contested Environment (TORVICE) trial was conducted in fall 2023 to identify and resolve vulnerabilities faced by autonomous systems in a congested electronic warfare environment.