Vishnu Sashank Dorbala

Orcid: 0000-0001-5697-5219

According to our database1, Vishnu Sashank Dorbala authored at least 15 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MemCtrl: Using MLLMs as Active Memory Controllers on Embodied Agents.
CoRR, January, 2026

2025
Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Improving Zero-Shot ObjectNav with Generative Communication.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Based Zero-Shot Object Navigation.
IEEE Robotics Autom. Lett., May, 2024

Is Generative Communication between Embodied Agents Good for Zero-Shot ObjectNav?
CoRR, 2024

Embodied Question Answering via Multi-LLM Systems.
CoRR, 2024

S-EQA: Tackling Situational Queries in Embodied Question Answering.
CoRR, 2024

Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis.
CoRR, 2024

Right Place, Right Time! Towards ObjectNav for Non-Stationary Goals.
CoRR, 2024

Can LLM's Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

2022
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation.
CoRR, 2022

2021
Can a Robot Trust You? : A DRL-Based Approach to Trust-Driven Human-Guided Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
A Deep Learning Approach for Robust Corridor Following from an Arbitrary Pose.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

A Deep Learning Approach for Robust Corridor Following.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019


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