4 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
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…
Sim-to-Real Strategy for Spatially Aware Robot Navigation in Uneven Outdoor Environments
Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Dinesh Manocha
Deep Reinforcement Learning (DRL) is hugely successful due to the availability of realistic simulated environments. However, performance degradation during simulation to real-world…