Adarsh Jagan Sathyamoorthy | DeepAI

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∙ 09/15/2023

MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation

We present a novel learning algorithm for trajectory generation for outd...

0 Jing Liang, et al. ∙

∙ 09/14/2023

VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement Learning

We present VAPOR, a novel method for autonomous legged robot navigation ...

0 Kasun Weerakoon, et al. ∙

∙ 09/13/2023

Using Lidar Intensity for Robot Navigation

We present Multi-Layer Intensity Map, a novel 3D object representation f...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

∙ 07/19/2023

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

We propose a novel method, ProNav, which uses proprioceptive signals for...

0 Mohamed Elnoor, et al. ∙

∙ 03/31/2023

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

We present CrossLoc3D, a novel 3D place recognition method that solves a...

0 Tianrui Guan, et al. ∙

∙ 03/25/2023

VERN: Vegetation-aware Robot Navigation in Dense Unstructured Outdoor Environments

We propose a novel method for autonomous legged robot navigation in dens...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

∙ 09/13/2022

GrASPE: Graph based Multimodal Fusion for Robot Navigation in Unstructured Outdoor Environments

We present a novel trajectory traversability estimation and planning alg...

0 Kasun Weerakoon, et al. ∙

∙ 07/08/2022

HTRON:Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm

We present a novel approach to improve the performance of deep reinforce...

0 Kasun Weerakoon, et al. ∙

∙ 05/18/2022

Sim-to-Real Strategy for Spatially Aware Robot Navigation in Uneven Outdoor Environments

Deep Reinforcement Learning (DRL) is hugely successful due to the availa...

0 Kasun Weerakoon, et al. ∙

∙ 02/25/2022

TerraPN: Unstructured terrain navigation using Online Self-Supervised Learning

We present TerraPN, a novel method that learns the surface properties (t...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

∙ 09/10/2021

Robot Navigation in Irregular Environments with Local Elevation Estimation using Deep Reinforcement Learning

We present a novel method for safely navigating a robot in unknown and u...

0 Kasun Weerakoon, et al. ∙

∙ 08/22/2021

CoMet: Modeling Group Cohesion for Socially Compliant Robot Navigation in Crowded Scenes

We present CoMet, a novel approach for computing a group's cohesion and ...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

∙ 10/28/2020

Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds

We present a novel Deep Reinforcement Learning (DRL) based policy for mo...

0 Utsav Patel, et al. ∙

∙ 08/14/2020

COVID-Robot: Monitoring Social Distancing Constraints in Crowded Scenarios

Maintaining social distancing norms between humans has become an indispe...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

∙ 04/07/2020

Realtime Collision Avoidance for Mobile Robots in Dense Crowds using Implicit Multi-sensor Fusion and Deep Reinforcement Learning

We present a novel learning-based collision avoidance algorithm, CrowdSt...

0 Jing Liang, et al. ∙

∙ 04/07/2020

CrowdSteer: Realtime Smooth and Collision-Free Robot Navigation in Dense Crowd Scenarios Trained using High-Fidelity Simulation

We present a novel high fidelity 3-D simulator that significantly reduce...

0 Jing Liang, et al. ∙

∙ 03/11/2020

Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds

We present Frozone, a novel algorithm to deal with the Freezing Robot Pr...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

∙ 02/07/2020

DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors

We present DenseCAvoid, a novel navigation algorithm for navigating a ro...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

∙ 02/22/2019

LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes

In this paper, we address the problem of collision avoidance for a swarm...

0 Senthil Hariharan Arul, et al. ∙

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