Integration of proprioceptive and tactile sensors in a soft robotic actuator
Project Description
Tactile perception and proprioception are two key challenges in the field of soft robotics. Based on Prof. Scharff's previous works on integrating color patterns in soft actuators for proprioceptive and tactile perception, this project aims to combine both proprioceptive and tactile sensors in a single soft actuator. Multi-material additive manufacturing will be deployed to fabricate the soft actuator with integrated color patterns and electronics in a single step.
Supervisor
SCHARFF, Rob Bernardus Nicolaas
Quota
2
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
The selected applicant will be responsible for:
- conducting a literature review on proprioceptive and tactile sensors for soft robots
- fabricating the soft robotic finger with integrated color patterns and electronics
- calibration of the sensor
- characterization of the actuator
- conducting a literature review on proprioceptive and tactile sensors for soft robots
- fabricating the soft robotic finger with integrated color patterns and electronics
- calibration of the sensor
- characterization of the actuator
Applicant's Learning Objectives
- Explain the challenges in embedding proprioceptive and tactile sensors in soft robots
- Use state-of-the-art multi-material additive manufacturing equipment to integrate materials of different color as well as electronic components in a single 3D-printed object
- Apply machine learning for calibrating proprioceptive and tactile sensors for soft robots.
- Use state-of-the-art multi-material additive manufacturing equipment to integrate materials of different color as well as electronic components in a single 3D-printed object
- Apply machine learning for calibrating proprioceptive and tactile sensors for soft robots.
Complexity of the project
Moderate