Cover Image

Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sato, Hiroshi, Konosu, Masashi, Sakaino, Sho, Tsuji, Toshiaki
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Imitation Learning Inputting Image Feature to Each Layer of Neural Network
by: Yamane, Koki, et al.
Published: (2024)

Design and Experimental Validation of Sensorless 4-Channel Bilateral Teleoperation for Low-Cost Manipulators
by: Yamane, Koki, et al.
Published: (2025)

Force Generative Imitation Learning: Bridging Position Trajectory and Force Commands through Control Technique
by: Sato, Hiroshi, et al.
Published: (2026)

Variable-Speed Teaching-Playback as Real-World Data Augmentation for Imitation Learning
by: Masuya, Nozomu, et al.
Published: (2024)

Soft and Rigid Object Grasping With Cross-Structure Hand Using Bilateral Control-Based Imitation Learning
by: Yamane, Koki, et al.
Published: (2023)

Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics
by: Oishi, Ryoga, et al.
Published: (2025)

Motion ReTouch: Motion Modification Using Four-Channel Bilateral Control
by: Inami, Koki, et al.
Published: (2025)

Variable-Frequency Imitation Learning for Variable-Speed Motion
by: Masuya, Nozomu, et al.
Published: (2024)

Loss Function Considering Dead Zone for Neural Networks
by: Inami, Koki, et al.
Published: (2024)

Decoupled Scaling 4ch Bilateral Control on the Cartesian coordinate by 6-DoF Manipulator using Rotation Matrix
by: Yamane, Koki, et al.
Published: (2025)

Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning
by: Yamane, Koki, et al.
Published: (2026)

Learning Variable Compliance Control From a Few Demonstrations for Bimanual Robot with Haptic Feedback Teleoperation System
by: Kamijo, Tatsuya, et al.
Published: (2024)

Model-Based Runtime Monitoring with Interactive Imitation Learning
by: Liu, Huihan, et al.
Published: (2023)

Hierarchical Proportion Models for Motion Generation via Integration of Motion Primitives
by: Shu, Yu-Han, et al.
Published: (2026)

TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
by: Zhuang, Zifeng, et al.
Published: (2025)

RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)

Generalization Capability for Imitation Learning
by: Wang, Yixiao
Published: (2025)

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
by: Banayeeanzade, Amin, et al.
Published: (2025)

Sample-Efficient Expert Query Control in Active Imitation Learning via Conformal Prediction
by: Firouzkouhi, Arad, et al.
Published: (2025)

Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)

RIZE: Adaptive Regularization for Imitation Learning
by: Karimi, Adib, et al.
Published: (2025)

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
by: Liu, Zuxin, et al.
Published: (2023)

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
by: Cho, Seongwoong, et al.
Published: (2024)

Memory-Consistent Neural Networks for Imitation Learning
by: Sridhar, Kaustubh, et al.
Published: (2023)

Self-evolved Imitation Learning in Simulated World
by: Ye, Yifan, et al.
Published: (2025)

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
by: Zhao, Michelle, et al.
Published: (2024)

Hybrid Imitation-Learning Motion Planner for Urban Driving
by: Gariboldi, Cristian, et al.
Published: (2024)

IDIL: Imitation Learning of Intent-Driven Expert Behavior
by: Seo, Sangwon, et al.
Published: (2024)

Offline Imitation Learning Through Graph Search and Retrieval
by: Yin, Zhao-Heng, et al.
Published: (2024)

MILES: Making Imitation Learning Easy with Self-Supervision
by: Papagiannis, Georgios, et al.
Published: (2024)

Imitation Learning from Observation through Optimal Transport
by: Chang, Wei-Di, et al.
Published: (2023)

GRAIL: Goal Recognition Alignment through Imitation Learning
by: Elhadad, Osher, et al.
Published: (2026)

Cross-Domain Imitation Learning via Optimal Transport
by: Fickinger, Arnaud, et al.
Published: (2021)

Imitation Learning from Observation with Automatic Discount Scheduling
by: Liu, Yuyang, et al.
Published: (2023)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)

Vision-Language Foundation Models as Effective Robot Imitators
by: Li, Xinghang, et al.
Published: (2023)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
by: Zhang, Xinyu, et al.
Published: (2024)

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
by: Zare, Maryam, et al.
Published: (2023)