Imagen de Portada

RichMap: A Reachability Map Balancing Precision, Efficiency, and Flexibility for Rich Robot Manipulation Tasks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lu, Yupu, Ma, Yuxiang, Pan, Jia
Formato:	Preprint
Publicado:	2026
Materias:	Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Certified Gradient-Based Contact-Rich Manipulation via Smoothing-Error Reachable Tubes
por: Li, Wei-Chen, et al.
Publicado: (2026)

GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
por: Burns, Kaylee, et al.
Publicado: (2024)

FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation
por: He, Zihao, et al.
Publicado: (2024)

ViTaMIn: Learning Contact-Rich Tasks Through Robot-Free Visuo-Tactile Manipulation Interface
por: Liu, Fangchen, et al.
Publicado: (2025)

Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
por: Pattabiraman, Venkatesh, et al.
Publicado: (2024)

TacUMI: A Multi-Modal Universal Manipulation Interface for Contact-Rich Tasks
por: Cheng, Tailai, et al.
Publicado: (2026)

OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation
por: Zheng, Yuhang, et al.
Publicado: (2026)

ShapeForce: Low-Cost Soft Robotic Wrist for Contact-Rich Manipulation
por: Zhu, Jinxuan, et al.
Publicado: (2025)

Passivity-Centric Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2025)

Approximately Optimal Global Planning for Contact-Rich SE(2) Manipulation on a Graph of Reachable Sets
por: Liu, Simin, et al.
Publicado: (2026)

Diffusion-Based Impedance Learning for Contact-Rich Manipulation Tasks
por: Geiger, Noah, et al.
Publicado: (2025)

TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulation
por: Wu, Yinghao, et al.
Publicado: (2025)

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
por: Zhu, Xiang, et al.
Publicado: (2022)

FAVLA: A Force-Adaptive Fast-Slow VLA model for Contact-Rich Robotic Manipulation
por: Li, Yao, et al.
Publicado: (2026)

TAMEn: Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks
por: Wu, Longyan, et al.
Publicado: (2026)

CoRAL: Contact-Rich Adaptive LLM-based Control for Robotic Manipulation
por: Çiçek, Berk, et al.
Publicado: (2026)

MagicGripper: A Multimodal Sensor-Integrated Gripper for Contact-Rich Robotic Manipulation
por: Fan, Wen, et al.
Publicado: (2025)

A Physically Consistent Stiffness Formulation for Contact-Rich Manipulation
por: Lachner, Johannes, et al.
Publicado: (2025)

Recasting Classical Motion Planning for Contact-Rich Manipulation
por: Yang, Lin, et al.
Publicado: (2025)

Soft and Compliant Contact-Rich Hair Manipulation and Care
por: Yoo, Uksang, et al.
Publicado: (2025)

Towards Tight Convex Relaxations for Contact-Rich Manipulation
por: Graesdal, Bernhard Paus, et al.
Publicado: (2024)

RM4D: A Combined Reachability and Inverse Reachability Map for Common 6-/7-axis Robot Arms by Dimensionality Reduction to 4D
por: Rudorfer, Martin
Publicado: (2024)

A Survey on Imitation Learning for Contact-Rich Tasks in Robotics
por: Tsuji, Toshiaki, et al.
Publicado: (2025)

SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2024)

Kinematic Motion Retargeting for Contact-Rich Anthropomorphic Manipulations
por: Lakshmipathy, Arjun S., et al.
Publicado: (2024)

A Humanoid Visual-Tactile-Action Dataset for Contact-Rich Manipulation
por: Kwon, Eunju, et al.
Publicado: (2025)

Glovity: Learning Dexterous Contact-Rich Manipulation via Spatial Wrench Feedback Teleoperation System
por: Gao, Yuyang, et al.
Publicado: (2025)

DexViTac: Collecting Human Visuo-Tactile-Kinematic Demonstrations for Contact-Rich Dexterous Manipulation
por: Chen, Xitong, et al.
Publicado: (2026)

Dexterous Contact-Rich Manipulation via the Contact Trust Region
por: Suh, H. J. Terry, et al.
Publicado: (2025)

Explicit Contact Optimization in Whole-Body Contact-Rich Manipulation
por: Leve, Victor, et al.
Publicado: (2024)

Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation
por: Ye, Guo, et al.
Publicado: (2025)

Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
por: Zhang, Heng, et al.
Publicado: (2025)

A Reachability Tree-Based Algorithm for Robot Task and Motion Planning
por: Kim, Kanghyun, et al.
Publicado: (2023)

Direction Matters: Learning Force Direction Enables Sim-to-Real Contact-Rich Manipulation
por: Yang, Yifei, et al.
Publicado: (2026)

Multi-layered Safety of Redundant Robot Manipulators via Task-oriented Planning and Control
por: Jia, Xinyu, et al.
Publicado: (2024)

ForceVLA2: Unleashing Hybrid Force-Position Control with Force Awareness for Contact-Rich Manipulation
por: Li, Yang, et al.
Publicado: (2026)

ParaMaP: Parallel Mapping and Collision-free Motion Planning for Reactive Robot Manipulation
por: Zhang, Xuewei, et al.
Publicado: (2025)

Just Add Force for Contact-Rich Robot Policies
por: Xie, William, et al.
Publicado: (2024)

Simultaneous Contact Selection and Planning for Contact-Rich Manipulation with Cascaded Optimization
por: Zhang, Zhe, et al.
Publicado: (2026)

HMC: Learning Heterogeneous Meta-Control for Contact-Rich Loco-Manipulation
por: Wei, Lai, et al.
Publicado: (2025)