Partha Pratim Chakrabarti — accepted AI-conference papers

2026

Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract)

Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty

AAAI 2026technical

This study develops a physics-informed neural network (PINN) framework to predict droplet spreading dynamics on unstructured rough surfaces. The trained model effectively captures temporal evolution of the droplet shape, contact line motion, and interfacial deformation. This integration of multiphas

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2024

Enhanced Human-Robot Collaboration with Intent Prediction using Deep Inverse Reinforcement Learning

Mukund Mitra, Gyanig Kumar, Partha Pratim Chakrabarti, Pradipta Biswas

ICRA 2024poster

In shared autonomy, human-robot handover for object delivery is crucial. Accurate robot predictions of human hand motion and intentions enhance collaboration efficiency. However, low prediction accuracy increases mental and physical demands on the user. In this work, we propose a system for predicti…

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