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Suraj Joshi

2 accepted papers

2025

RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation

IROS 2025

Visual augmentation has become a crucial technique for enhancing the visual robustness of imitation learning. However, existing methods are often limited by prerequisites such as camera calibration or the need for controlled environments (e.g., green screen setups). In this work, we introduce RoboEn

Cited by 36SourcecodeScholar
2022

Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation

EMNLP 2022main

Flowchart grounded dialog systems converse with users by following a given flowchart and a corpus of FAQs. The existing state-of-the-art approach (Raghu et al, 2021) for learning such a dialog system, named FLONET, has two main limitations. (1) It uses a Retrieval Augmented Generation (RAG) framewor…

Cited by 1SourcePDFScholar