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Vishnu Sashank Dorbala

7 accepted papers

2025

Improving Zero-Shot ObjectNav with Generative Communication

ICRA 2025

We propose a new method for improving zero-shot ObjectNav that aims to utilize potentially available environmental percepts for navigational assistance. Our approach takes into account that the ground agent may have limited and sometimes obstructed view. Our formulation encourages Generative Communi

Cited by 1SourceScholar
2025

Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering

IROS 2025

We present and tackle the problem of Embodied Question Answering (EQA) with Situational Queries (S-EQA) in a household environment. Unlike prior EQA work tackling simple queries that directly reference target objects and properties ("What is the color of the car?"), situational queries (such as "Is

Cited by 2SourceScholar
2024

Can LLM’s Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis

NAACL 2024short

We present a novel approach to automatically synthesize “wayfinding instructions” for an embodied robot agent. In contrast to prior approaches that are heavily reliant on human-annotated datasets designed exclusively for specific simulation platforms, our algorithm uses in-context learning to condit…

Cited by 7SourcePDFScholar
2024

Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Based Zero-Shot Object Navigation

RA-L 2024

We present language-guided exploration (LGX), a novel algorithm for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Language-Driven Zero-Shot Object Goal Navigation</i> (L-ZSON), where an embodied agent navigates to an <italic xmlns:mml="http://www.w

Cited by 144SourceScholar
2021

Can a Robot Trust You? : A DRL-Based Approach to Trust-Driven Human-Guided Navigation

ICRA 2021poster

Humans are known to construct cognitive maps of their everyday surroundings using a variety of perceptual inputs. As such, when a human is asked for directions to a particular location, their wayfinding capability in converting this cognitive map into directional instructions is challenged. Owing to…

Cited by 17SourceScholar
2020

ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation

IROS 2020poster

We present ProxEmo, a novel end-to-end emotion prediction algorithm for socially aware robot navigation among pedestrians. Our approach predicts the perceived emotions of a pedestrian from walking gaits, which is then used for emotion-guided navigation taking into account social and proxemic constra…

Cited by 93SourcecodeScholar