Our lab is thinking about how to connect flexible and stretchable electronic circuits together. Whether it’s a soft silicone stick-on “electronic tattoo” or a fabric based e-textile, no one wants to plug in a huge lumpy connector at the edge of the device. However, these circuits usually need connectors for power and communication. We are looking at how weaving can create binding sites to deliver power and signals to tiny sensor chips. This work is supported by National Science Foundation Award 2309482, “EAGER: Cut-and-Seam Manufacturing of Sensor Meshes for Perfusable Electronics,” which provided opportunities for 4 students to do research on fiber circuit assembly, seam tape fabrication and testing, and microfabrication in the lab this year.
Where is that thing bending? PhD student Paul Bupe has developed a prototyping system for determining where robots and other flexible structures are changing curvature. The OptiGap concept uses soft plastic 3d printing filaments as waveguides with gaps that let light out when bent. Not only is the system low cost and customizable on the fly, but it gets multiple location information out of a single optical intensity sensor, and provides a training routine so your system knows how to interpret the incoming optical signal. Paper here:
Left: With adaptive control, right: with conventional control method
Ph.D. student Michael Han has further improved the optoelectronic control method with an adaptive control algorithm, enabling robotic grippers to hold on to objects without crushing them even under changing conditions. This video also shows a little more detail about the soft optical sensor’s construction. Paper:
Ph.D. student Michael Han has developed a new optoelectronic tactile sensor that enables robots to better emulate the grasping abilities of the human hand. The sensor, described in “Soft, All-Polymer Optoelectronic Tactile Sensor for Stick-Slip Detection,” combines a skin-like soft silicone material with a bristle friction model to provide not only normal force information, but also lateral force information generated by stick-slip processes.
This soft optical design allows the sensor to detect stick-slip events, a phenomenon that occurs when an object starts to slip out of a robot’s grasp. By detecting stick-slip events in real-time, the sensor can help a robotic gripper apply sufficient force to grasp objects without slipping. In addition, the sensor is capable of measuring normal forces up to 5 N, making it a versatile tool for robot grasping control.
The sensor is made entirely of polymer materials, making it soft and flexible like human skin. This allows it to easily conform to the shape of different objects, providing a more natural and accurate tactile sensing experience for robots. By enabling robots to more accurately sense and respond to their environment, we are one step closer to creating robots that can perform tasks with the same level of dexterity as humans. We continue to work on improving the sensor and exploring new applications for it in fields such as manufacturing, healthcare, and more.
In our latest paper we leveraged the anisotropic properties of curved sheets to create reconfigurable joints. Imagine a flat material like a thin piece of paper. This piece of paper can be stiffened by curving it along a single axis into a U-shape. In this case the anisotropic property is that it resists bending along the curve due to increased stiffness in the remaining axis. This stiffness can be reduced by creating a small change in shape along the curve such as creating a temporary flat spot or crease, which results in a reduced stiffness at that point meaning the curved paper can bend there.
We used shape-memory alloy (SMA) wire sewn into some denim and stiff plastic using tailored wire placement to form a “crease” when energized which creates a flexure hinge, allowing the structure to bend. Since we are able to electronically control where this crease is formed we can create a hinge up and down the structure, meaning we can reconfigure the location of the joint.
