Electrothermally Controlled 3D‐Printed Shape Memory Polymers for Near‐Ambient Temperature Soft Robotic Applications

Soft robotic applications require adaptable, responsive systems capable of precise actuation, particularly under ambient conditions. Here, we develop 3D‐printed stimuli–responsive polymer grippers for robotic operations near room temperature. Masked stereolithography 3D printing is employed to fabricate customized multifinger grippers using bespoke resins of shape memory polymers. These resins are formulated with varying monomer and crosslinker ratios to tune the shape memory transition within a near‐ambient temperature range (≈20–70°C). To remotely control the robotic operations, electrically controlled resistive heating is adapted to provide the stimulus for shape transition and to control each finger of the gripper independently. Additionally, as a proof of concept, triboelectric sensors are integrated onto the fingers of the gripper, maintaining the system's flexibility, adaptability, and compactness. The sensor‐integrated gripper is capable of actively detecting robotic actions such as grabbing and releasing objects. The innovative design of electrothermally controlled grippers integrated with self‐powered triboelectric sensors offers significant potential for soft interactive interfaces.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2026-02-18
DOI
https://doi.org/10.1002/aisy.202501277
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrothermally Controlled 3D‐Printed Shape Memory Polymers for Near‐Ambient Temperature Soft Robotic Applications

Kalyan Ghosh, Ji Zhang, Shaashwat Saraff, Sohini Kar‐Narayan et al.
Advanced Intelligent Systems
Soft Robotics and Applications
article

Electrothermally Controlled 3D‐Printed Shape Memory Polymers for Near‐Ambient Temperature Soft Robotic Applications

Kalyan Ghosh, Ji Zhang, Shaashwat Saraff, Sohini Kar‐Narayan, Thomas Sweeney
article en

Abstract

Soft robotic applications require adaptable, responsive systems capable of precise actuation, particularly under ambient conditions. Here, we develop 3D‐printed stimuli–responsive polymer grippers for robotic operations near room temperature. Masked stereolithography 3D printing is employed to fabricate customized multifinger grippers using bespoke resins of shape memory polymers. These resins are formulated with varying monomer and crosslinker ratios to tune the shape memory transition within a near‐ambient temperature range (≈20–70°C). To remotely control the robotic operations, electrically controlled resistive heating is adapted to provide the stimulus for shape transition and to control each finger of the gripper independently. Additionally, as a proof of concept, triboelectric sensors are integrated onto the fingers of the gripper, maintaining the system's flexibility, adaptability, and compactness. The sensor‐integrated gripper is capable of actively detecting robotic actions such as grabbing and releasing objects. The innovative design of electrothermally controlled grippers integrated with self‐powered triboelectric sensors offers significant potential for soft interactive interfaces.

Advanced Intelligent Systems
University of Cambridge (GB), Max Planck Institute for Dynamics of Complex Technical Systems (DE)
Government of the United Kingdom, UK Research and Innovation, Cambridge Trust, HORIZON EUROPE Framework Programme, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 51%
Soft Robotics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.