:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Suzie, Shin, Hye-Bin, Lee, Seong-Whan
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.13171
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
by: Kim, Suzie
Published: (2025)

Accelerating Reinforcement Learning via Error-Related Human Brain Signals
by: Kim, Suzie, et al.
Published: (2025)

LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
by: Han, Dongge, et al.
Published: (2024)

Aligning Robot and Human Representations
by: Bobu, Andreea, et al.
Published: (2023)

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
by: Luo, Jianlan, et al.
Published: (2024)

Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
by: Kim, Dongyoung, et al.
Published: (2025)

Learning to Transfer Human Hand Skills for Robot Manipulations
by: Park, Sungjae, et al.
Published: (2025)

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)

Safe Navigation for Robotic Digestive Endoscopy via Human Intervention-based Reinforcement Learning
by: Tan, Min, et al.
Published: (2024)

ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback
by: Chen, Sirui, et al.
Published: (2024)

MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training
by: Li, Haoyun, et al.
Published: (2025)

Toward Aligning Human and Robot Actions via Multi-Modal Demonstration Learning
by: Zahid, Azizul, et al.
Published: (2025)

Aligning Robot Navigation Behaviors with Human Intentions and Preferences
by: Karnan, Haresh
Published: (2024)

GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
by: Lee, Sungjae, et al.
Published: (2025)

Towards Human-level Dexterity via Robot Learning
by: Khandate, Gagan
Published: (2025)

Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction
by: Jiang, Shuo, et al.
Published: (2025)

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
by: Poddar, Sriyash, et al.
Published: (2024)

Implicit Kinodynamic Motion Retargeting for Human-to-humanoid Imitation Learning
by: Chen, Xingyu, et al.
Published: (2025)

Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
by: Li, Keyu, et al.
Published: (2021)

EEG-based Multimodal Representation Learning for Emotion Recognition
by: Yin, Kang, et al.
Published: (2024)

LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
by: Kim, Chan, et al.
Published: (2025)

ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space
by: Yan, Yashuai, et al.
Published: (2023)

Adaptive Querying for Reward Learning from Human Feedback
by: Anand, Yashwanthi, et al.
Published: (2024)

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning
by: Doroudian, Erfan, et al.
Published: (2024)

Rapidly Learning Soft Robot Control via Implicit Time-Stepping
by: Choi, Andrew, et al.
Published: (2025)

Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
by: Lum, Tyler Ga Wei, et al.
Published: (2025)

Autonomous Human-Robot Interaction via Operator Imitation
by: Christen, Sammy, et al.
Published: (2025)

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)

Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach
by: Kim, Dohyeong, et al.
Published: (2024)

HALO: Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization
by: Zhang, Hao, et al.
Published: (2026)

Relevance for Human Robot Collaboration
by: Zhang, Xiaotong, et al.
Published: (2024)

Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
by: Wachowiak, Lennart, et al.
Published: (2024)

Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model Feedback
by: Domberg, Fabian, et al.
Published: (2026)

Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
by: Kim, Jinyeob, et al.
Published: (2024)

Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
by: Mattson, Connor, et al.
Published: (2024)

Human-assisted Robotic Policy Refinement via Action Preference Optimization
by: Xia, Wenke, et al.
Published: (2025)

Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration
by: Schneiders, Eike, et al.
Published: (2024)

How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots
by: Yu, Hang, et al.
Published: (2024)

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
by: Yuan, Yifu, et al.
Published: (2024)

Align2Act: Instruction-Tuned Models for Human-Aligned Autonomous Driving
by: Jaisankar, Kanishkha, et al.
Published: (2025)