Image de couverture de livre

ClutterNav: Gradient-Guided Search for Efficient 3D Clutter Removal with Learned Costmaps

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ravie, Navin Sriram, M, Keerthi Vasan, Sebastian, Bijo
Format:	Preprint
Publié:	2025
Sujets:	Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

QuickGrasp: Lightweight Antipodal Grasp Planning with Point Clouds
par: Ravie, Navin Sriram, et autres
Publié: (2025)

Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning
par: Ravie, Navin Sriram, et autres
Publié: (2026)

SEA-Nav: Efficient Policy Learning for Safe and Agile Quadruped Navigation in Cluttered Environments
par: Chen, Shiyi, et autres
Publié: (2026)

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning
par: Huang, Baichuan
Publié: (2025)

ClutterGen: A Cluttered Scene Generator for Robot Learning
par: Jia, Yinsen, et autres
Publié: (2024)

HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments
par: Wang, Junming, et autres
Publié: (2024)

SWIFT-Nav: Stability-Aware Waypoint-Level TD3 with Fuzzy Arbitration for UAV Navigation in Cluttered Environments
par: Ji, Shuaidong, et autres
Publié: (2025)

Watch Your Step: Learning Semantically-Guided Locomotion in Cluttered Environment
par: Liang, Denan, et autres
Publié: (2026)

Learning Speed Adaptation for Flight in Clutter
par: Zhao, Guangyu, et autres
Publié: (2024)

Real-World Offline Reinforcement Learning from Vision Language Model Feedback
par: Venkataraman, Sreyas, et autres
Publié: (2024)

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes
par: Chen, Zeyuan, et autres
Publié: (2025)

Multi-Agent Monte Carlo Tree Search for Makespan-Efficient Object Rearrangement in Cluttered Spaces
par: Ren, Hanwen, et autres
Publié: (2026)

STEM: Semantic Target Search and Exploration using MAVs in Cluttered Environments
par: Sethi, Nikhil, et autres
Publié: (2026)

Flying in Clutter on Monocular RGB by Learning in 3D Radiance Fields with Domain Adaptation
par: Huang, Xijie, et autres
Publié: (2025)

Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand
par: Bai, Fengshuo, et autres
Publié: (2025)

MAVRL: Learn to Fly in Cluttered Environments with Varying Speed
par: Yu, Hang, et autres
Publié: (2024)

Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes
par: Chen, Siang, et autres
Publié: (2024)

Enabling Robots to Autonomously Search Dynamic Cluttered Post-Disaster Environments
par: Rado, Karlo, et autres
Publié: (2025)

Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter
par: Lim, Seunghyeon, et autres
Publié: (2024)

LiCS: Navigation using Learned-imitation on Cluttered Space
par: Damanik, Joshua Julian, et autres
Publié: (2024)

Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
par: Wang, Yongliang, et autres
Publié: (2024)

Fast Explicit-Input Assistance for Teleoperation in Clutter
par: Walker, Nick, et autres
Publié: (2024)

Clutter-Aware Spill-Free Liquid Transport via Learned Dynamics
par: Abderezaei, Ava, et autres
Publié: (2024)

Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments
par: Messikommer, Nico, et autres
Publié: (2026)

Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning
par: Xiao, Wei, et autres
Publié: (2024)

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
par: Kang, Woonsang, et autres
Publié: (2025)

Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions
par: Hao, Alexis Yihong, et autres
Publié: (2025)

GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes
par: Back, Seunghyeok, et autres
Publié: (2025)

HyReach: Vision-Guided Hybrid Manipulator Reaching in Unseen Cluttered Environments
par: Kamtikar, Shivani, et autres
Publié: (2026)

Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments
par: Shin, Jaeuk, et autres
Publié: (2025)

Single-View Shape Completion for Robotic Grasping in Clutter
par: Kashyap, Abhishek, et autres
Publié: (2025)

Pushing Through Clutter With Movability Awareness of Blocking Obstacles
par: Weeda, Joris J., et autres
Publié: (2025)

Collapse and Collision Aware Grasping for Cluttered Shelf Picking
par: Pathak, Abhinav, et autres
Publié: (2025)

Collision-Free Humanoid Traversal in Cluttered Indoor Scenes
par: Xue, Han, et autres
Publié: (2026)

Pyramid-Monozone Synergistic Grasping Policy in Dense Clutter
par: Li, Chenghao, et autres
Publié: (2024)

Reliability-Guided Depth Fusion for Glare-Resilient Navigation Costmaps
par: Tsai, Shang-En, et autres
Publié: (2026)

MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments
par: Wang, Pengyu, et autres
Publié: (2024)

Generating 6-D Trajectories for Omnidirectional Multirotor Aerial Vehicles in Cluttered Environments
par: Liu, Peiyan, et autres
Publié: (2024)

INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
par: Zhang, Hanbo, et autres
Publié: (2021)

DDGC: Generative Deep Dexterous Grasping in Clutter
par: Lundell, Jens, et autres
Publié: (2021)