2026 ASEE Annual Conference & Exposition

Soft robotics represents a rapidly evolving domain that merges material science, mechanical design, embedded sensing, and control theory to create flexible, adaptive systems capable of safe and intuitive human interaction. This workshop introduces a hands-on, interdisciplinary learning framework centered on the fabrication and programming of interactive soft robotic systems. The primary research question guiding this initiative is: How can interactive soft robots help with students’ interdisciplinary learning? Specifically, the workshop investigates how active engagement in soft robotics—through injection molding, programmable sensors, and human–robot interaction (HRI) experiments—can foster the integration of knowledge across engineering, computing, design, and human-centered domains.

The workshop curriculum is structured into three interconnected modules that scaffold conceptual understanding and practical skills. The first module, Soft Actuator Fabrication via Injection Molding, immerses students in material-based design thinking. Participants learn to mold and cure elastomeric components using silicone and thermoplastic polymers while exploring how mechanical properties, geometry, and fabrication parameters influence deformation and actuation performance. In the second learning, Programmable Sensing and Embedded Intelligence, introduces sensor integration and microcontroller-based programming. Learners embed flexible strain gauges, capacitive sensors, or fiber-optic sensors into the molded structures, enabling real-time feedback on pressure, stretch, and curvature. Students program these sensors using Arduino or similar platforms to collect and visualize data, calibrate responses, and implement basic control logic. In the third learning module, Human–Robot Interaction (HRI) and Design Integration, connects technical development with human-centered application. Students evaluate the interaction between humans and soft robotic devices through collaborative projects such as wearable grippers, tactile gloves, or assistive rehabilitation tools. They analyze parameters such as comfort, responsiveness, and safety, reflecting on ergonomic design and user feedback. By synthesizing insights from engineering, psychology, and design, students develop a holistic understanding of how robots can coexist and cooperate safely with humans.

The survey will examine how such a workshop enhances interdisciplinary learning and metacognitive awareness. Students are encouraged to reflect on questions such as “What skills from different disciplines did I integrate today?” and “How did materials, programming, and human feedback influence my design decisions?” These reflective prompts help measure shifts in learners’ awareness of how disciplinary knowledge interrelates.

An initial testing plan will evaluate learning outcomes in three areas: Interdisciplinary competence, measured through pre- and post-workshop surveys assessing students’ confidence in cross-domain integration.Technical and creative proficiency, assessed by rubric-based evaluation of actuator performance, sensor calibration, and design originality. Reflective and metacognitive growth, analyzed through qualitative coding of lab journals and post-workshop reflections. Preliminary pilot data suggest that engaging with soft robotics encourages students to think across disciplinary boundaries, combining analytical rigor with creative design thinking.