:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yasui, Daisuke, Matuki, Toshitaka, Sato, Hiroshi
Format:	Preprint
Published:	2026
Subjects:	Robotics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.28186
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncovering Latent Phase Structures and Branching Logic in Locomotion Policies: A Case Study on HalfCheetah
by: Yasui, Daisuke, et al.
Published: (2026)

An accuracy-aware extension to LRP-based pruning for CNNs to prevent cascading accuracy degradation in data-scarce transfer learning
by: Yasui, Daisuke, et al.
Published: (2025)

Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots
by: Zheng, Ziang, et al.
Published: (2025)

Learning Terrain-Specialized Policies for Adaptive Locomotion in Challenging Environments
by: Angarola, Matheus P., et al.
Published: (2025)

LatentMimic: Terrain-Adaptive Locomotion via Latent Space Imitation
by: Wang, Zhiquan, et al.
Published: (2026)

Latent Action Priors for Locomotion with Deep Reinforcement Learning
by: Hausdörfer, Oliver, et al.
Published: (2024)

Learning Quadruped Locomotion Policies using Logical Rules
by: DeFazio, David, et al.
Published: (2021)

Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
by: Chen, Zixuan, et al.
Published: (2024)

Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
by: Nakanishi, Kosuke, et al.
Published: (2025)

E-SDS: Environment-aware See it, Do it, Sorted - Automated Environment-Aware Reinforcement Learning for Humanoid Locomotion
by: Yalcin, Enis, et al.
Published: (2025)

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation
by: Jiang, Yicheng, et al.
Published: (2026)

Agent-Driven Autonomous Reinforcement Learning Research: Iterative Policy Improvement for Quadruped Locomotion
by: Khandelwal, Nimesh, et al.
Published: (2026)

Sim-to-Real of Humanoid Locomotion Policies via Joint Torque Space Perturbation Injection
by: Cha, Junhyeok Rui, et al.
Published: (2026)

PGTT: Phase-Guided Terrain Traversal for Perceptive Legged Locomotion
by: Ntagkas, Alexandros, et al.
Published: (2025)

MULE: Multi-terrain and Unknown Load Adaptation for Effective Quadrupedal Locomotion
by: Kurva, Vamshi Kumar, et al.
Published: (2025)

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
by: Zheng, Ruijie, et al.
Published: (2024)

Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction
by: Loh, Jia Quan, et al.
Published: (2024)

An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion
by: Zhao, Luyang, et al.
Published: (2024)

RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
by: Tang, Yimin, et al.
Published: (2025)

Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments
by: Zhang, Hailong, et al.
Published: (2025)

Learning Quadruped Locomotion Using Differentiable Simulation
by: Song, Yunlong, et al.
Published: (2024)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
by: Acero, Fernando, et al.
Published: (2024)

Evolutionary Morphology Towards Overconstrained Locomotion via Large-Scale, Multi-Terrain Deep Reinforcement Learning
by: Chen, Yenan, et al.
Published: (2024)

WorldGym: World Model as An Environment for Policy Evaluation
by: Quevedo, Julian, et al.
Published: (2025)

A Unified and General Humanoid Whole-Body Controller for Versatile Locomotion
by: Xue, Yufei, et al.
Published: (2025)

MoE-Loco: Mixture of Experts for Multitask Locomotion
by: Huang, Runhan, et al.
Published: (2025)

Variable Stiffness for Robust Locomotion through Reinforcement Learning
by: Spoljaric, Dario, et al.
Published: (2025)

Flexible Locomotion Learning with Diffusion Model Predictive Control
by: Huang, Runhan, et al.
Published: (2025)

Visual CPG-RL: Learning Central Pattern Generators for Visually-Guided Quadruped Locomotion
by: Bellegarda, Guillaume, et al.
Published: (2022)

Few-Shot Adaptation to Non-Stationary Environments via Latent Trend Embedding for Robotics
by: Fujii, Yasuyuki, et al.
Published: (2026)

Visual Prompt Guided Unified Pushing Policy
by: Bui, Hieu, et al.
Published: (2026)

ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
by: Shafiee, Milad, et al.
Published: (2023)

PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors
by: Han, Chenxi, et al.
Published: (2026)

PMG: Parameterized Motion Generator for Human-like Locomotion Control
by: Han, Chenxi, et al.
Published: (2026)

LocoFormer: Generalist Locomotion via Long-context Adaptation
by: Liu, Min, et al.
Published: (2025)

Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion
by: Coholich, Jeremiah, et al.
Published: (2025)

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
by: Wang, Yuanfei, et al.
Published: (2025)

MarineFormer: A Spatio-Temporal Attention Model for USV Navigation in Dynamic Marine Environments
by: Kazemi, Ehsan, et al.
Published: (2024)

Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
by: Zhang, Ruipeng, et al.
Published: (2022)

Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning
by: Sato, Hiroshi, et al.
Published: (2024)