:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kang, Woonsang, Lee, Joohyung, Kim, Seungjun, Cho, Jungchan, Oh, Yoonseon
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	https://arxiv.org/abs/2507.05861
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Corner-Grasp: Multi-Action Grasp Detection and Active Gripper Adaptation for Grasping in Cluttered Environments
by: Son, Yeong Gwang, et al.
Published: (2025)

Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
by: Lee, Joohyung, et al.
Published: (2023)

Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control
by: Park, Seongmin, et al.
Published: (2024)

How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
by: Lee, Joohyung, et al.
Published: (2024)

Grasp the Graph (GtG) 2.0: Ensemble of Graph Neural Networks for High-Precision Grasp Pose Detection in Clutter
by: Moghadam, Ali Rashidi, et al.
Published: (2025)

DDGC: Generative Deep Dexterous Grasping in Clutter
by: Lundell, Jens, et al.
Published: (2021)

Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
by: Lim, Taeheon, et al.
Published: (2025)

Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)

MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping
by: Zaland, Obaidullah, et al.
Published: (2025)

Dexterous Manipulation Based on Prior Dexterous Grasp Pose Knowledge
by: Yan, Hengxu, et al.
Published: (2024)

Learning Speed Adaptation for Flight in Clutter
by: Zhao, Guangyu, et al.
Published: (2024)

Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering
by: Jauhri, Snehal, et al.
Published: (2023)

Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
by: Huang, Ziye, et al.
Published: (2024)

COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping
by: Yamada, Jun, et al.
Published: (2025)

Toward a Plug-and-Play Vision-Based Grasping Module for Robotics
by: Hélénon, François, et al.
Published: (2023)

Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning
by: Lee, Gawon, et al.
Published: (2025)

GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes
by: Back, Seunghyeok, et al.
Published: (2025)

3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects
by: Zhi, Weiming, et al.
Published: (2024)

Task-Oriented 6-DoF Grasp Pose Detection in Clutters
by: Wang, An-Lan, et al.
Published: (2025)

VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models
by: Kulshrestha, Manav, et al.
Published: (2025)

Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning
by: Choi, Myong-Yol, et al.
Published: (2026)

Cross-Embodiment Dexterous Grasping with Reinforcement Learning
by: Yuan, Haoqi, et al.
Published: (2024)

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
by: Park, Seongmin, et al.
Published: (2025)

Self-Supervised Learning of Grasping Arbitrary Objects On-the-Move
by: Kiyokawa, Takuya, et al.
Published: (2024)

Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
by: Lu, Haofei, et al.
Published: (2025)

Grasp-HGN: Grasping the Unexpected
by: Zandigohar, Mehrshad, et al.
Published: (2025)

PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
by: Kim, Junghyun, et al.
Published: (2023)

Learning Generalizable Visuomotor Policy through Dynamics-Alignment
by: Lee, Dohyeok, et al.
Published: (2025)

Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
by: Xu, Kechun, et al.
Published: (2024)

Learning Dual-Arm Coordination for Grasping Large Flat Objects
by: Wang, Yongliang, et al.
Published: (2025)

OmniDexVLG: Learning Dexterous Grasp Generation from Vision Language Model-Guided Grasp Semantics, Taxonomy and Functional Affordance
by: Zhang, Lei, et al.
Published: (2025)

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
by: Carvalho, Joao, et al.
Published: (2024)

Label-Efficient Grasp Joint Prediction with Point-JEPA
by: Guzelkabaagac, Jed, et al.
Published: (2025)

Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments
by: Cho, Yoonyoung, et al.
Published: (2025)

Motion Design for Grasp-Based Dynamic Locomotion in Microgravity
by: Moon, Chaerim, et al.
Published: (2026)

PCF-Grasp: Converting Point Completion to Geometry Feature to Enhance 6-DoF Grasp
by: Cheng, Yaofeng, et al.
Published: (2025)

Learning Gentle Grasping from Human-Free Force Control Demonstration
by: Li, Mingxuan, et al.
Published: (2024)

Robust Imaging Sonar-based Place Recognition and Localization in Underwater Environments
by: Kim, Hogyun, et al.
Published: (2023)

HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments
by: Xiong, Songsong, et al.
Published: (2024)

DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
by: Kim, Yoonsung, et al.
Published: (2024)