Guardado en:
| Autores principales: | Haldar, Siddhant, Peng, Zhuoran, Pinto, Lerrel |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2406.07539 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation
por: Haldar, Siddhant, et al.
Publicado: (2025)
por: Haldar, Siddhant, et al.
Publicado: (2025)
P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies
por: Levy, Mara, et al.
Publicado: (2024)
por: Levy, Mara, et al.
Publicado: (2024)
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
por: Iyer, Aadhithya, et al.
Publicado: (2024)
por: Iyer, Aadhithya, et al.
Publicado: (2024)
Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
por: Pattabiraman, Venkatesh, et al.
Publicado: (2024)
por: Pattabiraman, Venkatesh, et al.
Publicado: (2024)
Point Bridge: 3D Representations for Cross Domain Policy Learning
por: Haldar, Siddhant, et al.
Publicado: (2026)
por: Haldar, Siddhant, et al.
Publicado: (2026)
Feel the Force: Contact-Driven Learning from Humans
por: Adeniji, Ademi, et al.
Publicado: (2025)
por: Adeniji, Ademi, et al.
Publicado: (2025)
Touch begins where vision ends: Generalizable policies for contact-rich manipulation
por: Zhao, Zifan, et al.
Publicado: (2025)
por: Zhao, Zifan, et al.
Publicado: (2025)
EgoZero: Robot Learning from Smart Glasses
por: Liu, Vincent, et al.
Publicado: (2025)
por: Liu, Vincent, et al.
Publicado: (2025)
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
por: Cui, Zichen Jeff, et al.
Publicado: (2024)
por: Cui, Zichen Jeff, et al.
Publicado: (2024)
Hierarchical Latent Action Model
por: Kim, Hanjung, et al.
Publicado: (2026)
por: Kim, Hanjung, et al.
Publicado: (2026)
Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning
por: Liu, Xinqi Lucas, et al.
Publicado: (2026)
por: Liu, Xinqi Lucas, et al.
Publicado: (2026)
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
por: Zhou, Gaoyue, et al.
Publicado: (2024)
por: Zhou, Gaoyue, et al.
Publicado: (2024)
Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards
por: Guzey, Irmak, et al.
Publicado: (2024)
por: Guzey, Irmak, et al.
Publicado: (2024)
Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning
por: Lee, Haeone, et al.
Publicado: (2026)
por: Lee, Haeone, et al.
Publicado: (2026)
RUKA: Rethinking the Design of Humanoid Hands with Learning
por: Zorin, Anya, et al.
Publicado: (2025)
por: Zorin, Anya, et al.
Publicado: (2025)
AnySkin: Plug-and-play Skin Sensing for Robotic Touch
por: Bhirangi, Raunaq, et al.
Publicado: (2024)
por: Bhirangi, Raunaq, et al.
Publicado: (2024)
eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures
por: Pattabiraman, Venkatesh, et al.
Publicado: (2025)
por: Pattabiraman, Venkatesh, et al.
Publicado: (2025)
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
por: Etukuru, Haritheja, et al.
Publicado: (2024)
por: Etukuru, Haritheja, et al.
Publicado: (2024)
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
por: Shafiullah, Nur Muhammad Mahi, et al.
Publicado: (2022)
por: Shafiullah, Nur Muhammad Mahi, et al.
Publicado: (2022)
Neural Circuit Architectural Priors for Quadruped Locomotion
por: Bhattasali, Nikhil X., et al.
Publicado: (2024)
por: Bhattasali, Nikhil X., et al.
Publicado: (2024)
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
por: Bhirangi, Raunaq, et al.
Publicado: (2024)
por: Bhirangi, Raunaq, et al.
Publicado: (2024)
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation
por: Wu, Kun, et al.
Publicado: (2024)
por: Wu, Kun, et al.
Publicado: (2024)
End-to-End Multi-Task Policy Learning from NMPC for Quadruped Locomotion
por: Sajja, Anudeep, et al.
Publicado: (2025)
por: Sajja, Anudeep, et al.
Publicado: (2025)
DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
por: Liu, Peiqi, et al.
Publicado: (2024)
por: Liu, Peiqi, et al.
Publicado: (2024)
PWM: Policy Learning with Multi-Task World Models
por: Georgiev, Ignat, et al.
Publicado: (2024)
por: Georgiev, Ignat, et al.
Publicado: (2024)
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
por: Anwar, Abrar, et al.
Publicado: (2025)
por: Anwar, Abrar, et al.
Publicado: (2025)
Behavior Generation with Latent Actions
por: Lee, Seungjae, et al.
Publicado: (2024)
por: Lee, Seungjae, et al.
Publicado: (2024)
Efficient Multi-Task Scene Analysis with RGB-D Transformers
por: Fischedick, Söhnke Benedikt, et al.
Publicado: (2023)
por: Fischedick, Söhnke Benedikt, et al.
Publicado: (2023)
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
por: Bezerra, Lucas C. D., et al.
Publicado: (2024)
por: Bezerra, Lucas C. D., et al.
Publicado: (2024)
GeCCo -- a Generalist Contact-Conditioned Policy for Loco-Manipulation Skills on Legged Robots
por: Atanassov, Vassil, et al.
Publicado: (2025)
por: Atanassov, Vassil, et al.
Publicado: (2025)
Learning Task-Invariant Properties via Dreamer: Enabling Efficient Policy Transfer for Quadruped Robots
por: Liang, Junyang, et al.
Publicado: (2026)
por: Liang, Junyang, et al.
Publicado: (2026)
Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks
por: Huang, Hao, et al.
Publicado: (2025)
por: Huang, Hao, et al.
Publicado: (2025)
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
por: Reuss, Moritz, et al.
Publicado: (2024)
por: Reuss, Moritz, et al.
Publicado: (2024)
Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation
por: Chen, Zijia, et al.
Publicado: (2026)
por: Chen, Zijia, et al.
Publicado: (2026)
Active Fine-Tuning of Multi-Task Policies
por: Bagatella, Marco, et al.
Publicado: (2024)
por: Bagatella, Marco, et al.
Publicado: (2024)
Poke and Strike: Learning Task-Informed Exploration Policies
por: Aoyama, Marina Y., et al.
Publicado: (2025)
por: Aoyama, Marina Y., et al.
Publicado: (2025)
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport
por: Naito, Yusei, et al.
Publicado: (2024)
por: Naito, Yusei, et al.
Publicado: (2024)
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
por: Liu, Peiqi, et al.
Publicado: (2024)
por: Liu, Peiqi, et al.
Publicado: (2024)
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
por: Feng, Jinyuan, et al.
Publicado: (2024)
por: Feng, Jinyuan, et al.
Publicado: (2024)
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks
por: Özgür, Fikrican, et al.
Publicado: (2025)
por: Özgür, Fikrican, et al.
Publicado: (2025)
Ejemplares similares
-
Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation
por: Haldar, Siddhant, et al.
Publicado: (2025) -
P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies
por: Levy, Mara, et al.
Publicado: (2024) -
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
por: Iyer, Aadhithya, et al.
Publicado: (2024) -
Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
por: Pattabiraman, Venkatesh, et al.
Publicado: (2024) -
Point Bridge: 3D Representations for Cross Domain Policy Learning
por: Haldar, Siddhant, et al.
Publicado: (2026)