Amit Bhardwaj

2 accepted papers

2019

Data-Driven Haptic Modeling of Normal Interactions on Viscoelastic Deformable Objects Using a Random Forest

Amit Bhardwaj, Hojun Cha, Seungmoon Choi

RA-L 2019

In this letter, we propose a new data-driven approach for haptic modeling of normal interactions on homogeneous viscoelastic deformable objects. The approach is based on a well-known machine learning technique: random forest. Here, we employ a random forest for regression. We acquire discrete-time i

Cited by 8 Source ↗Scholar ↗

2018

Learning-Based Modular Task-Oriented Grasp Stability Assessment

Jingyi Xu, Amit Bhardwaj, Ge Sun, Tamay Aykut, Nicolas Alt, Mojtaba Karimi +1

IROS 2018poster

Assessing grasp stability is essential to prevent the failure of robotic manipulation tasks due to sensory data and object uncertainties. Learning-based approaches are widely deployed to infer the success of a grasp. Typically, the underlying model used to estimate the grasp stability is trained for…

Cited by 8 Source ↗Scholar ↗