Adarsh Jagan Sathyamoorthy

Orcid: 0000-0002-9678-4748

According to our database1, Adarsh Jagan Sathyamoorthy authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments.
CoRR, 2024

AMCO: Adaptive Multimodal Coupling of Vision and Proprioception for Quadruped Robot Navigation in Outdoor Environments.
CoRR, 2024

2023
GrASPE: Graph Based Multimodal Fusion for Robot Navigation in Outdoor Environments.
IEEE Robotics Autom. Lett., December, 2023

AdVENTR: Autonomous Robot Navigation in Complex Outdoor Environments.
CoRR, 2023

MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation.
CoRR, 2023

VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement Learning.
CoRR, 2023

Using Lidar Intensity for Robot Navigation.
CoRR, 2023

ProNav: Proprioceptive Traversability Estimation for Legged Robot Navigation in Outdoor Environments.
CoRR, 2023

VERN: Vegetation-Aware Robot Navigation in Dense Unstructured Outdoor Environments.
IROS, 2023

CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
CoMet: Modeling Group Cohesion for Socially Compliant Robot Navigation in Crowded Scenes.
IEEE Robotics Autom. Lett., 2022

GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments.
IEEE Robotics Autom. Lett., 2022

GrASPE: Graph based Multimodal Fusion for Robot Navigation in Unstructured Outdoor Environments.
CoRR, 2022

Sim-to-Real Strategy for Spatially Aware Robot Navigation in Uneven Outdoor Environments.
CoRR, 2022

TerraPN: Unstructured terrain navigation through Online Self-Supervised Learning.
CoRR, 2022

TerraPN: Unstructured Terrain Navigation using Online Self-Supervised Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

TERP: Reliable Planning in Uneven Outdoor Environments using Deep Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm.
Proceedings of the Conference on Robot Learning, 2022

2021
DWA-RL: Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation among Mobile Obstacles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds.
IEEE Robotics Autom. Lett., 2020

Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds.
CoRR, 2020

COVID-Robot: Monitoring Social Distancing Constraints in Crowded Scenarios.
CoRR, 2020

Realtime Collision Avoidance for Mobile Robots in Dense Crowds using Implicit Multi-sensor Fusion and Deep Reinforcement Learning.
CoRR, 2020

Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
LSwarm: Efficient Collision Avoidance for Large Swarms With Coverage Constraints in Complex Urban Scenes.
IEEE Robotics Autom. Lett., 2019


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