:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Padmanabhan, Siddharth, Miyazawa, Kazuki, Horii, Takato, Nagai, Takayuki
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2405.18695
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predictive Reachability for Embodiment Selection in Mobile Manipulation Behaviors
by: Feng, Xiaoxu, et al.
Published: (2024)

Creative Agents: Simulating the Systems Model of Creativity with Generative Agents
by: Imasato, Naomi, et al.
Published: (2024)

LiP-LLM: Integrating Linear Programming and dependency graph with Large Language Models for multi-robot task planning
by: Obata, Kazuma, et al.
Published: (2024)

Goal Estimation-based Adaptive Shared Control for Brain-Machine Interfaces Remote Robot Navigation
by: Muraoka, Tomoka, et al.
Published: (2024)

SADP: Subgoal-Aware Diffusion Policy for Explainable Robots Learned from Foundation Model Generated Demonstrations
by: Hu, Site, et al.
Published: (2026)

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning
by: Zhao, Yingnan, et al.
Published: (2025)

External Photoreflective Tactile Sensing Based on Surface Deformation Measurement
by: Yamamoto, Seiichi, et al.
Published: (2025)

Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
by: Tsurumaki, Kazuki, et al.
Published: (2024)

PPF: Pre-training and Preservative Fine-tuning of Humanoid Locomotion via Model-Assumption-based Regularization
by: Jung, Hyunyoung, et al.
Published: (2025)

Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data
by: Pan, Yixuan, et al.
Published: (2025)

Design and Control of a Small Humanoid Equipped with Flight Unit and Wheels for Multimodal Locomotion
by: Sugihara, Kazuki, et al.
Published: (2023)

Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation
by: Su, Run, et al.
Published: (2025)

System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
by: Taniguchi, Tadahiro, et al.
Published: (2025)

D-CLING: Prior-Preserving Depth-Conditioned Fine-Tuning for Navigation Foundation Models
by: Nakaoka, Shintaro, et al.
Published: (2026)

ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation
by: Sun, Wandong, et al.
Published: (2025)

Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots
by: Wei, Yuxi, et al.
Published: (2025)

Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning
by: Li, Baoyu, et al.
Published: (2024)

LEGS: Fine-Tuning Teleop-Free VLAs for Humanoid Loco-manipulation in an Embodied Gaussian Splatting World
by: Kim, Hojune, et al.
Published: (2026)

Proceedings of the Dialogue Robot Competition 2023
by: Higashinaka, Ryuichiro, et al.
Published: (2023)

Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
by: Geiß, Henri-Jacques, et al.
Published: (2024)

Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only
by: Xiao, Wei, et al.
Published: (2025)

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows
by: Yang, Chenyu, et al.
Published: (2026)

Dynamic Properties and Motion Reproducibility of a Compact Pneumatically Actuated Humanoid Upper Body for Data-Driven Control
by: Atsuta, Hiroshi, et al.
Published: (2026)

Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting
by: Hancock, Asher J., et al.
Published: (2025)

GPT-Fabric: Smoothing and Folding Fabric by Leveraging Pre-Trained Foundation Models
by: Raval, Vedant, et al.
Published: (2024)

PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations
by: Yuan, Mingqi, et al.
Published: (2025)

Efficient and Compliant Control Framework for Versatile Human-Humanoid Collaborative Transportation
by: Kumbhar, Shubham S., et al.
Published: (2025)

Synthetic Data Pipelines for Adaptive, Mission-Ready Militarized Humanoids
by: Habib, Mohammed Ayman, et al.
Published: (2025)

HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning
by: Jing, Zhi, et al.
Published: (2025)

ExFace: Expressive Facial Control for Humanoid Robots with Diffusion Transformers and Bootstrap Training
by: Zhang, Dong, et al.
Published: (2025)

Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels
by: Deshpande, Abhay, et al.
Published: (2024)

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data
by: Deng, Shengliang, et al.
Published: (2025)

PHASOR: Phase-Anchored Universal Action Representations for Humanoid Embodiments
by: Kim, Kihyun, et al.
Published: (2026)

CHILD (Controller for Humanoid Imitation and Live Demonstration): a Whole-Body Humanoid Teleoperation System
by: Myers, Noboru, et al.
Published: (2025)

Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
by: Wang, Jifeng, et al.
Published: (2024)

Fine-Tuned Convex Approximations of Probabilistic Reachable Sets under Data-driven Uncertainties
by: Wu, Pengcheng, et al.
Published: (2023)

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning
by: Lin, Kevin, et al.
Published: (2026)

CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)

The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
by: Kaidanov, Oleg, et al.
Published: (2024)

SENTINEL: A Fully End-to-End Language-Action Model for Humanoid Whole Body Control
by: Wang, Yuxuan, et al.
Published: (2025)