Image de couverture de livre

Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Hao, Wan, Weiwei, Matsushita, Masaki, Kotaka, Takeyuki, Harada, Kensuke
Format:	Preprint
Publié:	2024
Sujets:	Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency
par: Qin, Liang, et autres
Publié: (2025)

Adaptive Grasping of Moving Objects in Dense Clutter via Global-to-Local Detection and Static-to-Dynamic Planning
par: Chen, Hao, et autres
Publié: (2025)

Robotic Paper Wrapping by Learning Force Control
par: Hanai, Hiroki, et autres
Publié: (2025)

Task-Difficulty-Aware Efficient Object Arrangement Leveraging Tossing Motions
par: Kiyokawa, Takuya, et autres
Publié: (2024)

Bimanual Regrasp Planning and Control for Active Reduction of Object Pose Uncertainty
par: Nagahama, Ryuta, et autres
Publié: (2025)

Generalizable task-oriented object grasping through LLM-guided ontology and similarity-based planning
par: Chen, Hao, et autres
Publié: (2026)

Direction-Constrained Control for Efficient Physical Human-Robot Interaction under Hierarchical Tasks
par: Xu, Mengxin, et autres
Publié: (2024)

Functional Eigen-Grasping Using Approach Heatmaps
par: Aburub, Malek, et autres
Publié: (2024)

Differentiable Object Pose Connectivity Metrics for Regrasp Sequence Optimization
par: Qin, Liang, et autres
Publié: (2026)

IKSel: Selecting Good Seed Joint Values for Fast Numerical Inverse Kinematics Iterations
par: Yuan, Xinyi, et autres
Publié: (2025)

Temperature Driven Multi-modal/Single-actuated Soft Finger
par: Kumar, Prashant, et autres
Publié: (2025)

A Multi-Level Similarity Approach for Single-View Object Grasping: Matching, Planning, and Fine-Tuning
par: Chen, Hao, et autres
Publié: (2025)

Learning to Push, Group, and Grasp: A Diffusion Policy Approach for Multi-Object Delivery
par: Yonemaru, Takahiro, et autres
Publié: (2025)

Learning-based Cooperative Robotic Paper Wrapping: A Unified Control Policy with Residual Force Control
par: Ali, Rewida, et autres
Publié: (2025)

Cooking Task Planning using LLM and Verified by Graph Network
par: Takebayashi, Ryunosuke, et autres
Publié: (2025)

Soft Regrasping Tool Inspired by Jamming Gripper
par: Kiyokawa, Takuya, et autres
Publié: (2025)

Replaceable Bit-based Gripper for Picking Cluttered Food Items
par: Kumar, Prashant, et autres
Publié: (2026)

Many-Objective-Optimized Semi-Automated Robotic Disassembly Sequences
par: Kiyokawa, Takuya, et autres
Publié: (2024)

Affordance-Guided Enveloping Grasp Demonstration Toward Non-destructive Disassembly of Pinch-Infeasible Mating Parts
par: Tsutsumi, Masaki, et autres
Publié: (2026)

Hierarchical Planning and Scheduling for Reconfigurable Multi-Robot Disassembly Systems under Structural Constraints
par: Kiyokawa, Takuya, et autres
Publié: (2025)

Designing and Validating a Self-Aligning Tool Changer for Modular Reconfigurable Manipulation Robots
par: Maskur, Mahfudz, et autres
Publié: (2026)

Gait Generation Balancing Joint Load and Mobility for Legged Modular Robots with Easily Detachable Joints
par: Chihara, Kennosuke, et autres
Publié: (2026)

Active Vapor-Based Robotic Wiper
par: Kiyokawa, Takuya, et autres
Publié: (2021)

Whole-body Multi-contact Motion Control for Humanoid Robots Based on Distributed Tactile Sensors
par: Murooka, Masaki, et autres
Publié: (2025)

Industrial-Grade Robust Robot Vision for Screw Detection and Removal under Uneven Conditions
par: Ishikura, Tomoki, et autres
Publié: (2026)

High-Performance Dual-Arm Task and Motion Planning for Tabletop Rearrangement
par: Zhang, Duo, et autres
Publié: (2025)

Replanning Human-Robot Collaborative Tasks with Vision-Language Models via Semantic and Physical Dual-Correction
par: Kato, Taichi, et autres
Publié: (2026)

Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation
par: Ren, Kejia, et autres
Publié: (2024)

Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills
par: Wan, Weikang, et autres
Publié: (2025)

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models
par: Carvalho, J., et autres
Publié: (2024)

Deep Reinforcement Learning for Mobile Robot Path Planning
par: Liu, Hao, et autres
Publié: (2024)

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
par: Zhang, Zengjie, et autres
Publié: (2023)

Component Influence-Driven Fastener Reduction for Robotic Disassemblability-Aware Design Simplification
par: Kiyokawa, Takuya, et autres
Publié: (2026)

Hybrid Robot Learning for Automatic Robot Motion Planning in Manufacturing
par: Singh, Siddharth, et autres
Publié: (2025)

Component Selection for Craft Assembly Tasks
par: Isume, Vitor Hideyo, et autres
Publié: (2024)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
par: Kolomeytsev, Yury, et autres
Publié: (2025)

Factored Task and Motion Planning with Combined Optimization, Sampling and Learning
par: Ortiz-Haro, Joaquim
Publié: (2024)

Planning for Tabletop Object Rearrangement
par: Hu, Jiaming, et autres
Publié: (2024)

Shell-Type Soft Jig for Holding Objects during Disassembly
par: Kiyokawa, Takuya, et autres
Publié: (2025)

URPlanner: A Universal Paradigm For Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning
par: Ying, Fengkang, et autres
Publié: (2025)