3 citations · 3 across the 6 of their papers we have counts for
6 papers
TOPGN: Real-time Transparent Obstacle Detection using Lidar Point Cloud Intensity for Autonomous Robot Navigation
Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor +2
We present TOPGN, a novel method for real-time transparent obstacle detection for robot navigation in unknown environments. We use a multi-layer 2D grid map representation obtained…
CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments
Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor +6
We present ConVOI, a novel method for autonomous robot navigation in real-world indoor and outdoor environments using Vision Language Models (VLMs). We employ VLMs in two ways: fir…
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…
AdVENTR: Autonomous Robot Navigation in Complex Outdoor Environments
Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor +1
We present a novel system, AdVENTR for autonomous robot navigation in unstructured outdoor environments that consist of uneven and vegetated terrains. Our approach is general and c…
Using Lidar Intensity for Robot Navigation
Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor +1
We present Multi-Layer Intensity Map, a novel 3D object representation for robot perception and autonomous navigation. Intensity maps consist of multiple stacked layers of 2D grid…
VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement Learning
Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor +1
We present VAPOR, a novel method for autonomous legged robot navigation in unstructured, densely vegetated outdoor environments using offline Reinforcement Learning (RL). Our metho…