activity
20192024
most citedCOVID-Robot: Monitoring Social Distancing Constraints in Crowded Scenarios

55 citations · 99 across the 22 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.RO2023

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…

cs.RO2023

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…

cs.RO2023

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…

cs.RO2023

MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation

Jing Liang, Peng Gao, Xuesu Xiao +4

We present a novel learning-based trajectory generation algorithm for outdoor robot navigation. Our goal is to compute collision-free paths that also satisfy the environment-specif…

cs.RO2023★ 2 cited

ProNav: Proprioceptive Traversability Estimation for Legged Robot Navigation in Outdoor Environments

Mohamed Elnoor, Adarsh Jagan Sathyamoorthy, Kasun Weerakoon +1

We propose a novel method, ProNav, which uses proprioceptive signals for traversability estimation in challenging outdoor terrains for autonomous legged robot navigation. Our appro…

cs.RO2023

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation

Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle +5

Reinforcement learning (RL) is a promising approach for robotic navigation, allowing robots to learn through trial and error. However, real-world robotic tasks often suffer from sp…

cs.CV2023

CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition

Tianrui Guan, Aswath Muthuselvam, Montana Hoover +5

We present CrossLoc3D, a novel 3D place recognition method that solves a large-scale point matching problem in a cross-source setting. Cross-source point cloud data corresponds to…