most citedRobot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments

2 citations · 4 across the 6 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

cs.RO2025

DR. Nav: Semantic-Geometric Representations for Proactive Dead-End Recovery and Navigation

Vignesh Rajagopal, Kasun Weerakoon Kulathun Mudiyanselage, Gershom Devake Seneviratne +5

We present DR. Nav (Dead-End Recovery-aware Navigation), a novel approach to autonomous navigation in scenarios where dead-end detection and recovery are critical, particularly in…

cs.RO2025★ 1 cited

ViLAM: Distilling Vision-Language Reasoning into Attention Maps for Social Robot Navigation

Mohamed Elnoor, Kasun Weerakoon, Gershom Seneviratne +3

We introduce ViLAM, a novel method for distilling vision-language reasoning from large Vision-Language Models (VLMs) into spatial attention maps for socially compliant robot naviga…

cs.RO2024★ 1 cited

BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes

Kasun Weerakoon, Mohamed Elnoor, Gershom Seneviratne +5

We present BehAV, a novel approach for autonomous robot navigation in outdoor scenes guided by human instructions and leveraging Vision Language Models (VLMs). Our method interpret…

cs.RO2024★ 2 cited

Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments

Mohamed Elnoor, Kasun Weerakoon, Gershom Seneviratne +5

We present a novel autonomous robot navigation algorithm for outdoor environments that is capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav, u…

cs.RO2024

AMCO: Adaptive Multimodal Coupling of Vision and Proprioception for Quadruped Robot Navigation in Outdoor Environments

Mohamed Elnoor, Kasun Weerakoon, Adarsh Jagan Sathyamoorthy +3

We present AMCO, a novel navigation method for quadruped robots that adaptively combines vision-based and proprioception-based perception capabilities. Our approach uses three cost…