Carmel Majidi’s career mission is to discover materials, hardware architectures, and fabrication methods that allow robots and machines to behave like soft biological organisms, and be safe for contact with humans. The aim is to replace the bulky and rigid hardware in existing robots with soft, lightweight, and deformable technologies that match the functionality of natural biological tissue. Currently, his group is focused on filled-elastomer composites and soft microfluidic systems that exhibit unique combinations of mechanical, electrical, and thermal properties and can function as “artificial” skin, nervous tissue, and muscle for soft robotics and wearables. He’s particularly interested in approaches that are practical from a rapid prototyping and robotics implementation perspective. This includes efforts to enable robust mechanical and electrical interfacing between soft-matter systems and conventional microelectronics and hardware.

210 Roberts Engineering Hall
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Carmel Majidi
Soft Machines Lab

Soft & Stretchable Computing Materials

Electronic Tattoos for Wearable Computing: Stretchable, Robust, and Inexpensive

Self-Healing Electrical Material

Engineering new materials for wearable computing

Soft Machines: New Classes of Materials for Next-Generation Wearable Devices


2007 Ph.D., EECS, University of California, Berkeley

2001 BS, CEE, Cornell University

Media mentions

Science Daily

Majidi’s writing on soft robotics featured

MechE’s Carmel Majidi was an author on a viewpoint on soft robotics reported on by Science Daily.

CMU Engineering

A touch of silver

Researchers in the Soft Machines Lab have developed a new silver-hydrogel composite for artificial skin that combines high electrical conductivity with soft, stretchable biocompatibility.

CMU Engineering

Under the sea

A team of researchers from Carnegie Mellon’s Soft Machines Lab has created a soft robot inspired by the quick and agile brittle star, the first mobile and untethered underwater crawling robot.

Soft Matter Most Popular 2020

Majidi lab selected for Soft Matter Most Popular 2020

Research from MechE’s Carmel Majidi’s Soft Machines Lab was selected for inclusion in Soft Matter Most Popular 2020, a themed collection of the Royal Society of Chemistry.

CMU Engineering

Making mechanical skin

These 3D printed circuits are self-healing, re-writable, and energy-harvesting, thanks to liquid metal.

Soft Robotics Podcast

Majidi quoted in Soft Robotics podcast

MechE’s Carmel Majidi was interviewed for Soft Robotics Podcast on science and life. He talked about equations he finds important and provided some advice.


Wearable and Stretchable Electronic Devices

A PITA project has led to commercially viable, soft-matter printed electronics for wearable health monitoring.

Chemical & Engineering News

Majidi on new biopolymer for soft robots

MechE’s Carmel Majidi was quoted in Chemical & Engineering News about a new self-healing and reusable biopolymer found in squid that researchers are using in soft robots. “This is a very compelling example of using synthetic biology to engineer new classes of materials," he said.

Physics World

Majidi quoted on liquid metal lattice material

MechE’s Carmel Majidi was quoted by Physics World about a new liquid metal lattice that can be crushed and then reheated to return to its original shape. Majidi says that the material has many potential capabilities, including applications in soft robotics, wearable computing systems, or wearable robotics.

CMU Engineering

First real-time physics engine for soft robotics

Collaborators have adapted the sophisticated computer graphics technology used in blockbuster films and video games to simulate the movements of soft, limbed robots for the first time.

Science Blog

Majidi quoted on soft robots

MechE’s Carmel Majidi’s research on soft robots was featured on Science Blog.

CMU Engineering

Engineering faculty win Carnegie Science Awards

MechE’s Carmel Majidi and Ryan Sullivan have won Carnegie Science Awards from the Carnegie Science Center for their incredible contributions to science.