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Pradip Pramanick

7 accepted papers

2026

HEXAR: A Hierarchical Explainability Architecture for Robots

ICRA 2026poster

As robotic systems become increasingly complex, the need for explainable decision-making becomes critical. Existing explainability approaches in robotics typically either focus on individual modules, which can be difficult to query from the perspective of high-level behaviour, or employ monolithic a…

2023

tagE: Enabling an Embodied Agent to Understand Human Instructions

EMNLP 2023long findings

Natural language serves as the primary mode of communication when an intelligent agent with a physical presence engages with human beings. While a plethora of research focuses on natural language understanding (NLU), encompassing endeavors such as sentiment analysis, intent prediction, question answ…

Cited by 0SourcecodeScholar
2022

Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?

EMNLP 2022main

The usage of automatic speech recognition (ASR) systems are becoming omnipresent ranging from personal assistant to chatbots, home, and industrial automation systems, etc. Modern robots are also equipped with ASR capabilities for interacting with humans as speech is the most natural interaction moda…

2022

DoRO: Disambiguation of Referred Object for Embodied Agents

RA-L 2022

Robotic task instructions often involve a referred object that the robot must locate (ground) within the environment. While task intent understanding is an essential part of natural language understanding, less effort is made to resolve ambiguity that may arise while grounding the task. Existing wor

Cited by 19SourceScholar
2020

DeComplex: Task planning from complex natural instructions by a collocating robot

IROS 2020poster

As the number of robots in our daily surroundings like home, office, restaurants, factory floors, etc. are increasing rapidly, the development of natural human-robot interaction mechanism becomes more vital as it dictates the usability and acceptability of the robots. One of the valued features of s…

Cited by 21SourceScholar
2019

Enabling Human-Like Task Identification From Natural Conversation

IROS 2019poster

A robot as a coworker or a cohabitant is becoming mainstream day-by-day with the development of low-cost sophisticated hardware. However, an accompanying software stack that can aid the usability of the robotic hardware remains the bottleneck of the process, especially if the robot is not dedicated…

Cited by 11SourceScholar