:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pham, Tan-Hanh, Aikins, Godwyll, Truong, Tri, Nguyen, Kim-Doang
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2409.14435
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhanced Droplet Analysis Using Generative Adversarial Networks
by: Pham, Tan-Hanh, et al.
Published: (2024)

Predicting Space Tourism Demand Using Explainable AI
by: Pham, Tan-Hanh, et al.
Published: (2025)

Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods
by: Pham, Tan-Hanh, et al.
Published: (2025)

Equivariant Reinforcement Learning under Partial Observability
by: Nguyen, Hai, et al.
Published: (2024)

Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
by: Nguyen, Hai, et al.
Published: (2024)

The Emergence of Deep Reinforcement Learning for Path Planning
by: Nguyen, Thanh Thi, et al.
Published: (2025)

Learning-Based Navigation for Indoor Mobile Robots
by: Nguyen, Tri-Tin, et al.
Published: (2026)

SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving
by: Huynh, Minh Tri, et al.
Published: (2024)

STR Robot: Design of an Autonomous Mobile Robot from Simulation to Reality
by: Nguyen, Vinh, et al.
Published: (2026)

SPOC: Safety-Aware Planning Under Partial Observability And Physical Constraints
by: Kim, Hyungmin, et al.
Published: (2026)

Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning
by: Nguyen, Thanh, et al.
Published: (2026)

Enhancing Depth Image Estimation for Underwater Robots by Combining Image Processing and Machine Learning
by: Nguyen, Quang Truong, et al.
Published: (2024)

Inferring Belief States in Partially-Observable Human-Robot Teams
by: Kolb, Jack, et al.
Published: (2024)

When Backdoors Meet Partial Observability: Attacking Real-World Reinforcement Learning
by: Huang, Tairan, et al.
Published: (2026)

Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator
by: Lee, Seokju, et al.
Published: (2025)

Crash Landing onto "you": Untethered Soft Aerial Robots for Safe Environmental Interaction, Sensing, and Perching
by: Nguyen, Pham Huy
Published: (2024)

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics
by: Chen, Nelson, et al.
Published: (2026)

Adaptive Fuzzy‐LQR for Stability Control of Bipedal Wheel‐Legged Robots on Variable Terrain
by: Duc Thien Tran, et al.
Published: (2026)

Soil Sample Search in Partially Observable Environments
by: Yang, Han, et al.
Published: (2024)

LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
by: Nayak, Siddharth, et al.
Published: (2024)

Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability
by: Meng, Lingheng, et al.
Published: (2022)

PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
by: Amiri, Mohsen, et al.
Published: (2026)

ROBOGATE: Adaptive Failure Discovery for Safe Robot Policy Deployment via Two-Stage Boundary-Focused Sampling
by: Kim, Azuki
Published: (2026)

Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking
by: Kim, Mincheol, et al.
Published: (2024)

Sensorless Estimation of Contact Using Deep-Learning for Human-Robot Interaction
by: Shan, Shilin, et al.
Published: (2023)

Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
by: Zheng, Meng, et al.
Published: (2026)

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)

Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments
by: Jia, Jie, et al.
Published: (2026)

PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning
by: Li, Zexin, et al.
Published: (2026)

Deep Reinforcement Learning-based Quadcopter Controller: A Practical Approach and Experiments
by: Do, Truong-Dong, et al.
Published: (2024)

Sensor Observability Analysis for Maximizing Task-Space Observability of Articulated Robots
by: Wong, Christopher Yee, et al.
Published: (2023)

Disturbance-Aware Adaptive Compensation in Hybrid Force-Position Locomotion Policy for Legged Robots
by: Zhang, Yang, et al.
Published: (2025)

Partially Observable Monte-Carlo Graph Search
by: You, Yang, et al.
Published: (2025)

Socially Aware Motion Planning for Service Robots Using LiDAR and RGB-D Camera
by: Nguyen, Duc Phu, et al.
Published: (2024)

Causality-Based Reinforcement Learning Method for Multi-Stage Robotic Tasks
by: Deng, Jiechao, et al.
Published: (2025)

Heterogeneous Team Coordination on Partially Observable Graphs with Realistic Communication
by: Zhou, Yanlin, et al.
Published: (2024)

Evaluating and Improving the Robustness of LiDAR Odometry and Localization Under Real-World Corruptions
by: Yang, Bo, et al.
Published: (2024)

RoboDesign1M: A Large-scale Dataset for Robot Design Understanding
by: Le, Tri, et al.
Published: (2025)

Adaptive Drift Compensation for Soft Sensorized Finger Using Continual Learning
by: Kushawaha, Nilay, et al.
Published: (2025)

Online Gaussian Process State-Space Model: Learning and Planning for Partially Observable Dynamical Systems
by: Park, Soon-Seo, et al.
Published: (2019)