We are pleased to announce that our paper, “Unsupervised Sim-to-Real Adaptation of Soft Robot Proprioception Using a Dual Cross-Modal Autoencoder” has been
published in Soft Robotics (2025).

This study proposes an unsupervised domain adaptation framework that bridges the gap between simulated and real sensor domains in soft robotics for efficient and generalized proprioceptive calibration. The dual cross-modal autoencoder enables high-fidelity shape estimation and collision detection without labeled data, outperforming existing benchmarks and demonstrating robust transferability across tasks.

Authors: Chaeree Park, Hyunkyu Park, and Jung Kim

Read the full article here: https://ieeexplore.ieee.org/abstract/document/10947099