Image de couverture de livre

Learning More With Less: Sample Efficient Model-Based RL for Loco-Manipulation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hoffman, Benjamin, Cheng, Jin, Li, Chenhao, Coros, Stelian
Format:	Preprint
Publié:	2025
Sujets:	Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation
par: Cheng, Jin, et autres
Publié: (2025)

CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation
par: Yuan, Yuanchen, et autres
Publié: (2025)

Whole-Body Inverse Dynamics MPC for Legged Loco-Manipulation
par: Molnar, Lukas, et autres
Publié: (2025)

Collaborative Loco-Manipulation for Pick-and-Place Tasks with Dynamic Reward Curriculum
par: An, Tianxu, et autres
Publié: (2025)

MetaLoco: Universal Quadrupedal Locomotion with Meta-Reinforcement Learning and Motion Imitation
par: Zargarbashi, Fatemeh, et autres
Publié: (2024)

RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion
par: Kang, Dongho, et autres
Publié: (2023)

PAINT: Partner-Agnostic Intent-Aware Cooperative Transport with Legged Robots
par: Cao, Zhihao, et autres
Publié: (2026)

TRTM: Template-based Reconstruction and Target-oriented Manipulation of Crumpled Cloths
par: Wang, Wenbo, et autres
Publié: (2023)

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning
par: Hartmann, Valentin N., et autres
Publié: (2025)

Multi-Domain Motion Embedding: Expressive Real-Time Mimicry for Legged Robots
par: Heyrman, Matthias, et autres
Publié: (2025)

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation
par: Pan, Jiahe, et autres
Publié: (2026)

What Matters for Simulation to Online Reinforcement Learning on Real Robots
par: As, Yarden, et autres
Publié: (2026)

RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards
par: Zargarbashi, Fatemeh, et autres
Publié: (2024)

Walk Like Dogs: Learning Steerable Imitation Controllers for Legged Robots from Unlabeled Motion Data
par: Kang, Dongho, et autres
Publié: (2025)

Problem Space Transformations for Out-of-Distribution Generalisation in Behavioural Cloning
par: Doshi, Kiran, et autres
Publié: (2024)

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
par: Sukhija, Bhavya, et autres
Publié: (2024)

A comparison of visual representations for real-world reinforcement learning in the context of vacuum gripping
par: Sutter, Nico, et autres
Publié: (2025)

Budget-optimal multi-robot layout design for box sorting
par: Zeng, Peiyu, et autres
Publié: (2024)

Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
par: Bhardwaj, Arjun, et autres
Publié: (2023)

PokeFlex: Towards a Real-World Dataset of Deformable Objects for Robotic Manipulation
par: Obrist, Jan, et autres
Publié: (2024)

TARC: Time-Adaptive Robotic Control
par: Sukhija, Arnav, et autres
Publié: (2025)

Differentiable Environment-Trajectory Co-Optimization for Safe Multi-Agent Navigation
par: Gao, Zhan, et autres
Publié: (2026)

Teaching Robots Like Dogs: Learning Agile Navigation from Luring, Gesture, and Speech
par: Yoon, Taerim, et autres
Publié: (2026)

Spatio-Temporal Motion Retargeting for Quadruped Robots
par: Yoon, Taerim, et autres
Publié: (2024)

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
par: As, Yarden, et autres
Publié: (2024)

Learning Tactile-Aware Quadrupedal Loco-Manipulation Policies
par: Zhou, Pokuang, et autres
Publié: (2026)

HMC: Learning Heterogeneous Meta-Control for Contact-Rich Loco-Manipulation
par: Wei, Lai, et autres
Publié: (2025)

LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators
par: Lin, Changyi, et autres
Publié: (2024)

FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation
par: Zhang, Yuanhang, et autres
Publié: (2025)

APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots
par: Sood, Shivam, et autres
Publié: (2025)

APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots
par: Sood, Shivam, et autres
Publié: (2025)

Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
par: Niu, Yaru, et autres
Publié: (2025)

Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
par: Shi, Fan, et autres
Publié: (2024)

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
par: He, Zhengmao, et autres
Publié: (2024)

Kinematics-Aware Multi-Policy Reinforcement Learning for Force-Capable Humanoid Loco-Manipulation
par: Xiao, Kaiyan, et autres
Publié: (2025)

Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot
par: Wang, Zifan, et autres
Publié: (2024)

A Framework for Deploying Learning-based Quadruped Loco-Manipulation
par: Liu, Yadong, et autres
Publié: (2025)

AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning
par: Zhao, Huihua, et autres
Publié: (2026)

EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration
par: Shi, Modi, et autres
Publié: (2026)

FALCON: Actively Decoupled Visuomotor Policies for Loco-Manipulation with Foundation-Model-Based Coordination
par: He, Chengyang, et autres
Publié: (2025)