RPL: Learning Robust Humanoid Perceptive Locomotion on Challenging Terrains
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Yuanhang, Seo, Younggyo, Chen, Juyue, Yuan, Yifu, Sreenath, Koushil, Abbeel, Pieter, Sferrazza, Carmelo, Liu, Karen, Duan, Rocky, Shi, Guanya |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning Sim-to-Real Humanoid Locomotion in 15 Minutes
por: Seo, Younggyo, et al.
Publicado: (2025)
por: Seo, Younggyo, et al.
Publicado: (2025)
Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
por: Wu, Zhen, et al.
Publicado: (2026)
por: Wu, Zhen, et al.
Publicado: (2026)
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
por: Seo, Younggyo, et al.
Publicado: (2025)
por: Seo, Younggyo, et al.
Publicado: (2025)
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
por: Sferrazza, Carmelo, et al.
Publicado: (2024)
por: Sferrazza, Carmelo, et al.
Publicado: (2024)
OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction
por: Yang, Lujie, et al.
Publicado: (2025)
por: Yang, Lujie, et al.
Publicado: (2025)
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
por: Seo, Younggyo, et al.
Publicado: (2024)
por: Seo, Younggyo, et al.
Publicado: (2024)
ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning
por: Zhao, Siheng, et al.
Publicado: (2025)
por: Zhao, Siheng, et al.
Publicado: (2025)
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
por: Li, Zhongyu, et al.
Publicado: (2024)
por: Li, Zhongyu, et al.
Publicado: (2024)
Learning Perceptive Humanoid Locomotion over Challenging Terrain
por: Sun, Wandong, et al.
Publicado: (2025)
por: Sun, Wandong, et al.
Publicado: (2025)
GaussGym: An open-source real-to-sim framework for learning locomotion from pixels
por: Escontrela, Alejandro, et al.
Publicado: (2025)
por: Escontrela, Alejandro, et al.
Publicado: (2025)
Residual Off-Policy RL for Finetuning Behavior Cloning Policies
por: Ankile, Lars, et al.
Publicado: (2025)
por: Ankile, Lars, et al.
Publicado: (2025)
TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System
por: Ze, Yanjie, et al.
Publicado: (2025)
por: Ze, Yanjie, et al.
Publicado: (2025)
Flow Policy Gradients for Robot Control
por: Yi, Brent, et al.
Publicado: (2026)
por: Yi, Brent, et al.
Publicado: (2026)
Humanoid Locomotion as Next Token Prediction
por: Radosavovic, Ilija, et al.
Publicado: (2024)
por: Radosavovic, Ilija, et al.
Publicado: (2024)
Learning Humanoid Locomotion over Challenging Terrain
por: Radosavovic, Ilija, et al.
Publicado: (2024)
por: Radosavovic, Ilija, et al.
Publicado: (2024)
Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control
por: Li, Yitang, et al.
Publicado: (2025)
por: Li, Yitang, et al.
Publicado: (2025)
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
por: Sukhija, Bhavya, et al.
Publicado: (2024)
por: Sukhija, Bhavya, et al.
Publicado: (2024)
Robust Adversarial Policy Optimization Under Dynamics Uncertainty
por: Kim, Mintae, et al.
Publicado: (2026)
por: Kim, Mintae, et al.
Publicado: (2026)
Global-Local Attention Decomposition for Terrain Encoding in Humanoid Perceptive Locomotion
por: Fu, Shengcheng, et al.
Publicado: (2026)
por: Fu, Shengcheng, et al.
Publicado: (2026)
Gait-Adaptive Perceptive Humanoid Locomotion with Real-Time Under-Base Terrain Reconstruction
por: Song, Haolin, et al.
Publicado: (2025)
por: Song, Haolin, et al.
Publicado: (2025)
mjlab: A Lightweight Framework for GPU-Accelerated Robot Learning
por: Zakka, Kevin, et al.
Publicado: (2026)
por: Zakka, Kevin, et al.
Publicado: (2026)
MuJoCo Playground
por: Zakka, Kevin, et al.
Publicado: (2025)
por: Zakka, Kevin, et al.
Publicado: (2025)
Body Transformer: Leveraging Robot Embodiment for Policy Learning
por: Sferrazza, Carmelo, et al.
Publicado: (2024)
por: Sferrazza, Carmelo, et al.
Publicado: (2024)
WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
por: Kim, Mintae, et al.
Publicado: (2026)
por: Kim, Mintae, et al.
Publicado: (2026)
Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding
por: Jones, Joshua, et al.
Publicado: (2025)
por: Jones, Joshua, et al.
Publicado: (2025)
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning
por: Gu, Xinyang, et al.
Publicado: (2024)
por: Gu, Xinyang, et al.
Publicado: (2024)
CMR: Contractive Mapping Embeddings for Robust Humanoid Locomotion on Unstructured Terrains
por: Zeng, Qixin, et al.
Publicado: (2026)
por: Zeng, Qixin, et al.
Publicado: (2026)
FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation
por: Zhang, Yuanhang, et al.
Publicado: (2025)
por: Zhang, Yuanhang, et al.
Publicado: (2025)
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
por: Chen, Zixuan, et al.
Publicado: (2024)
por: Chen, Zixuan, et al.
Publicado: (2024)
Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning
por: Gu, Zhaoyuan, et al.
Publicado: (2025)
por: Gu, Zhaoyuan, et al.
Publicado: (2025)
Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains
por: Yu, Shangqun, et al.
Publicado: (2024)
por: Yu, Shangqun, et al.
Publicado: (2024)
RoboCopilot: Human-in-the-loop Interactive Imitation Learning for Robot Manipulation
por: Wu, Philipp, et al.
Publicado: (2025)
por: Wu, Philipp, et al.
Publicado: (2025)
Berkeley Humanoid: A Research Platform for Learning-based Control
por: Liao, Qiayuan, et al.
Publicado: (2024)
por: Liao, Qiayuan, et al.
Publicado: (2024)
Learning Humanoid Locomotion with Perceptive Internal Model
por: Long, Junfeng, et al.
Publicado: (2024)
por: Long, Junfeng, et al.
Publicado: (2024)
Learning Vision-Based Bipedal Locomotion for Challenging Terrain
por: Duan, Helei, et al.
Publicado: (2023)
por: Duan, Helei, et al.
Publicado: (2023)
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction
por: Xue, Haoru, et al.
Publicado: (2025)
por: Xue, Haoru, et al.
Publicado: (2025)
SPARK: Skeleton-Parameter Aligned Retargeting on Humanoid Robots with Kinodynamic Trajectory Optimization
por: Wang, Hanwen, et al.
Publicado: (2026)
por: Wang, Hanwen, et al.
Publicado: (2026)
BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion
por: Liao, Qiayuan, et al.
Publicado: (2025)
por: Liao, Qiayuan, et al.
Publicado: (2025)
RoVerFly: Robust and Versatile Implicit Hybrid Control of Quadrotor-Payload Systems
por: Kim, Mintae, et al.
Publicado: (2025)
por: Kim, Mintae, et al.
Publicado: (2025)
DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction
por: Sun, Jingkai, et al.
Publicado: (2025)
por: Sun, Jingkai, et al.
Publicado: (2025)
Ejemplares similares
-
Learning Sim-to-Real Humanoid Locomotion in 15 Minutes
por: Seo, Younggyo, et al.
Publicado: (2025) -
Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
por: Wu, Zhen, et al.
Publicado: (2026) -
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
por: Seo, Younggyo, et al.
Publicado: (2025) -
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
por: Sferrazza, Carmelo, et al.
Publicado: (2024) -
OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction
por: Yang, Lujie, et al.
Publicado: (2025)