Shageenderan Sapai — accepted AI-conference papers

2025

Contrastive Autoencoder for Robust State Modelling of Soft Robots in Incomplete and Noisy Environments

Shageenderan Sapai, Vishnu Monn Baskaran, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan

IROS 2025

Soft robotic systems heavily depend on accurate sensor data for perception and control; however, this data is often corrupted by missing observations, due to partial sensor coverage, communication failures, or occlusions and noisy measurements stemming from hardware imperfections, environmental dist

Cited by 0 Source ↗Scholar ↗

2023

Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework

Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphaël C.-W. Phan, Vishnu Monn Baskaran +1

ICRA 2023poster

Recently, data-driven models such as deep neural networks have shown to be promising tools for modelling and state inference in soft robots. However, voluminous amounts of data are necessary for deep models to perform effectively, which requires exhaustive and quality data collection, particularly o…

Cited by 3 Source ↗code ↗Scholar ↗