Adarsh Jagan Sathyamoorthy

収録論文 22本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• TOPGN: Real-time Transparent Obstacle Detection using Lidar Point Cloud Intensity for Autonomous Robot Navigation
  2024/8/1
• AMCO: Adaptive Multimodal Coupling of Vision and Proprioception for Quadruped Robot Navigation in Outdoor Environments
  2024/3/1
• CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments
  2024/3/1
• AdVENTR: Autonomous Robot Navigation in Complex Outdoor Environments
  2023/11/1
• Using Lidar Intensity for Robot Navigation
  2023/9/1
• MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation
  2023/9/1
• VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement Learning
  2023/9/1
• ProNav: Proprioceptive Traversability Estimation for Legged Robot Navigation in Outdoor Environments
  2023/7/1
• VERN: Vegetation-aware Robot Navigation in Dense Unstructured Outdoor Environments
  2023/3/1
• GrASPE: Graph based Multimodal Fusion for Robot Navigation in Unstructured Outdoor Environments
  2022/9/1
• HTRON:Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
  2022/7/1
• Sim-to-Real Strategy for Spatially Aware Robot Navigation in Uneven Outdoor Environments
  2022/5/1
• TerraPN: Unstructured Terrain Navigation using Online Self-Supervised Learning
  2022/2/1
• TERP: Reliable Planning in Uneven Outdoor Environments using Deep Reinforcement Learning
  2021/9/1
• CoMet: Modeling Group Cohesion for Socially Compliant Robot Navigation in Crowded Scenes
  2021/8/1
• GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
  2021/3/1
• Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
  2020/10/1
• COVID-Robot: Monitoring Social Distancing Constraints in Crowded Scenarios
  2020/8/1
• Realtime Collision Avoidance for Mobile Robots in Dense Crowds using Implicit Multi-sensor Fusion and Deep Reinforcement Learning
  2020/4/1
• Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds
  2020/3/1
• DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors
  2020/2/1
• LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes
  2019/2/1