Robot Hand with Sensitive Touch Can Grasp Fragile Objects Like a Raspberry

A new robotic hand developed by researchers at the University of Texas at Austin is demonstrating a level of dexterity previously unseen in robotics, capable of grasping objects as delicate as a potato chip or a raspberry without causing damage. This breakthrough, dubbed Fragile Object Grasping with Tactile Sensing (FORTE), combines advanced tactile sensing with soft robotics, potentially revolutionizing industries from healthcare to manufacturing.

The challenge in robotics has long been replicating the nuanced touch of the human hand. While robots excel at large, repetitive movements, fine motor skills and the ability to adapt to varying textures and fragility have remained elusive. “Right now, robotics is starting to be able to do large motions around the house, but struggles with really fine and delicate movements,” explains Siqi Shang, a doctoral student at UT Austin and lead author of the research published in IEEE Robotics and Automation Letters. “Robots can fold a shirt but may struggle to carefully pick up your glasses or unpack fruit from your groceries.”

The key to FORTE’s success lies in its unique finger design, inspired by the “fin-ray effect” – a structural principle found in fish fins. These fingers are created using advanced 3D-printing techniques and incorporate internal, empty air channels that function as tactile sensors. As the fingers grasp an object, these channels shift, creating changes in air pressure. These pressure variations are then detected by small, commercially available sensors, providing the robot with real-time feedback on the force being applied and whether the object is slipping.

Researchers rigorously tested the grippers on a diverse set of 31 objects, ranging from fragile items like raspberries and potato chips to slippery surfaces like jam jars and billiard balls, and everyday items such as soup cans and apples. The system achieved an impressive 91.9% success rate in single-trial grasping experiments, significantly outperforming traditional robotic grippers that rely solely on visual feedback. Perhaps even more remarkably, the system correctly identified slip events with 100% precision, allowing it to adjust its grip and prevent damage.

“Humans pick up objects with just the right amount of force; too much and you’ll crush it, but too little and it’ll slip out of your hand,” says Lillian Chin, an assistant professor of electrical and computer engineering at UT Austin. “Most current force sensors aren’t fast or accurate enough to provide that Goldilocks level of detail. In particular, our sensors operate closer to the timescales of human hand sensors.”

The benefits of this technology extend beyond simply avoiding crushed raspberries. In the food processing industry, more sensitive robotic handling could minimize waste and improve efficiency when dealing with delicate produce and baked goods. In healthcare, robots equipped with FORTE could precisely handle medical instruments or fragile biological samples. Manufacturing processes requiring the manipulation of delicate components, such as electronics or glassware, could as well benefit from this enhanced dexterity.

To foster further innovation, the research team has made the hardware designs and algorithms publicly available, encouraging other scientists and engineers to build upon their work. Current efforts are focused on refining the technology, specifically addressing sensitivity to temperature changes and improving the robot’s ability to catch objects that initiate to slip.

The development of FORTE represents a significant step toward creating robots capable of interacting with the world in a more human-like way. While challenges remain, the potential applications of this technology are vast and could reshape numerous industries in the years to come.

The researchers received support for this project from the Texas Robotics Industrial Affiliate Program, the National Science Foundation, the Office of Naval Research, the DARPA TIAMAT program, and South Korea’s Institute of Information & Communications Technology Planning & Evaluation.

Disclaimer: This article provides information about a new robotic technology and its potential applications. It’s not intended to provide medical or professional advice. Consult with qualified professionals for specific guidance.

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Dr. Priya Deshmukh - Senior Editor, Health

Dr. Priya Deshmukh Senior Editor, Health Dr. Deshmukh is a practicing physician and renowned medical journalist, honored for her investigative reporting on public health. She is dedicated to delivering accurate, evidence-based coverage on health, wellness, and medical innovations.

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