This research project focuses on delivering haptic guidance through cutaneous (skin stretch and squeeze) methods to help train people for new tasks. Haptic devices are tremendously useful for giving customized feedback during training. These devices can simulate forces associated with real-world tasks or provide guidance forces that help users to complete the task more effectively or accurately. It has been shown, however, that providing both task forces and guidance forces simultaneously through the same haptic interface can lead to confusion and worse performance.
Building competency in performing minimally invasive procedures is a significant effort, as trainees must acquire both procedural knowledge and manual dexterity to perform complicated tasks. If done correctly, these procedures can lead to shorter post-operative periods and fewer complications than open surgery.
The objective of this project to implement laser-induced graphene sensing in a robotic glove exoskeleton, aiming to optimize the high sensitivity properties of LIG/PDMS composites for a robotic application and further improve upon the usability and sensitivity of exisisting glove designs and serve as a test bed for cutting edge nanomaterials. Laser-induced graphene (LIG) can be synthesized by a one-step process through CO2 laser treatment of commercial polyimide (PI) film in an ambient atmosphere, selectively converting PI to conductive graphene film.
Augmented and virtual reality are poised to deliver the next generation of computing interfaces. To fully immerse users, it will become increasingly important to couple visual information with tactile feedback for interactions withthe virtual world. Small wearable devices which approximate or substitute for sensations in the hands offer an attractive path forward. Tasbi is a multisensory haptic wristband capable of delivering squeeze and vibrotactilefeedback.
This project investigates human perception of haptic, or touch, cues. In the field of haptics, there is a need for a standardized method to characterize haptic cues and assess human perception of these cues. Most haptic devices are characterized using methods that are unique to the experiment, making direct comparisons across studies challenging. To meet these needs, we have developed the AIMS (Adjustable Instrumented Multisensory Stimuli) Testbed, a modular and instrumented testbed that allows for flexible testing of and comparison between haptic cues.