Kartik Ramachandruni — accepted AI-conference papers

2023

ConSOR: A Context-Aware Semantic Object Rearrangement Framework for Partially Arranged Scenes

Kartik Ramachandruni, Max Zuo, Sonia Chernova

IROS 2023poster

Object rearrangement is the problem of enabling a robot to identify the correct object placement in a complex environment. Prior work on object rearrangement has explored a diverse set of techniques for following user instructions to achieve some desired goal state. Logical predicates, images of the…

Cited by 5 Source ↗code ↗Scholar ↗

2020

Attentive Task-Net: Self Supervised Task-Attention Network for Imitation Learning using Video Demonstration

Kartik Ramachandruni, Madhu Babu V., Anima Majumder, Samrat Dutta, Swagat Kumar

ICRA 2020poster

This paper proposes an end-to-end self-supervised feature representation network named Attentive Task-Net or AT-Net for video-based task imitation. The proposed AT-Net incorporates a novel multi-level spatial attention module to highlight spatial features corresponding to the intended task demonstra…

Cited by 11 Source ↗Scholar ↗