Copertina

Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pattabiraman, Venkatesh, Cao, Yifeng, Haldar, Siddhant, Pinto, Lerrel, Bhirangi, Raunaq
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AnySkin: Plug-and-play Skin Sensing for Robotic Touch
di: Bhirangi, Raunaq, et al.
Pubblicazione: (2024)

Feel the Force: Contact-Driven Learning from Humans
di: Adeniji, Ademi, et al.
Pubblicazione: (2025)

eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures
di: Pattabiraman, Venkatesh, et al.
Pubblicazione: (2025)

EgoZero: Robot Learning from Smart Glasses
di: Liu, Vincent, et al.
Pubblicazione: (2025)

Touch begins where vision ends: Generalizable policies for contact-rich manipulation
di: Zhao, Zifan, et al.
Pubblicazione: (2025)

Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation
di: Haldar, Siddhant, et al.
Pubblicazione: (2025)

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
di: Bhirangi, Raunaq, et al.
Pubblicazione: (2024)

Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning
di: Liu, Xinqi Lucas, et al.
Pubblicazione: (2026)

Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards
di: Guzey, Irmak, et al.
Pubblicazione: (2024)

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies
di: Levy, Mara, et al.
Pubblicazione: (2024)

Neural Circuit Architectural Priors for Quadruped Locomotion
di: Bhattasali, Nikhil X., et al.
Pubblicazione: (2024)

BAKU: An Efficient Transformer for Multi-Task Policy Learning
di: Haldar, Siddhant, et al.
Pubblicazione: (2024)

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
di: Cui, Zichen Jeff, et al.
Pubblicazione: (2024)

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
di: Xue, Han, et al.
Pubblicazione: (2025)

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

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

PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-rich Manipulation Using Tactile-Diffusion Policies
di: Zhao, Jialiang, et al.
Pubblicazione: (2025)

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation
di: Zhu, Yifeng
Pubblicazione: (2025)

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

Whisker-Inspired Tactile Sensing: A Sim2Real Approach for Precise Underwater Contact Tracking
di: Li, Hao, et al.
Pubblicazione: (2024)

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

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
di: Iyer, Aadhithya, et al.
Pubblicazione: (2024)

LEMMo-Plan: LLM-Enhanced Learning from Multi-Modal Demonstration for Planning Sequential Contact-Rich Manipulation Tasks
di: Chen, Kejia, et al.
Pubblicazione: (2024)

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
di: Zhou, Gaoyue, et al.
Pubblicazione: (2024)

PaCo-VLA: Passivity-Shielded Compliance Prior for Contact-Rich Vision-Language-Action Manipulation
di: Cao, Haofan, et al.
Pubblicazione: (2026)

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty
di: Brown, Hunter L., et al.
Pubblicazione: (2026)

RUKA: Rethinking the Design of Humanoid Hands with Learning
di: Zorin, Anya, et al.
Pubblicazione: (2025)

Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation
di: Sleiman, Jean-Pierre, et al.
Pubblicazione: (2024)

Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation using Tight Convex Relaxations
di: Shirai, Yuki, et al.
Pubblicazione: (2025)

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

Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation
di: Aburub, Malek, et al.
Pubblicazione: (2024)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement
di: Ota, Kei, et al.
Pubblicazione: (2023)

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

Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
di: Yang, Lujie, et al.
Pubblicazione: (2025)

Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation
di: Mejia, Jared, et al.
Pubblicazione: (2024)

Point Bridge: 3D Representations for Cross Domain Policy Learning
di: Haldar, Siddhant, et al.
Pubblicazione: (2026)

Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions
di: Field, Harrison, et al.
Pubblicazione: (2025)

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
di: Luo, Jianlan, et al.
Pubblicazione: (2024)

Maglev-Pentabot: Magnetic Levitation System for Non-Contact Manipulation using Deep Reinforcement Learning
di: Huang, Guoming, et al.
Pubblicazione: (2025)