☆ 4.5 Article

Navigation of Mobile Robots Based on Deep Reinforcement Learning: Reward Function Optimization and Knowledge Transfer

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints

Yongming Li et al.

Summary: This article presents an adaptive neural network output feedback optimized control design for strict-feedback nonlinear systems with unknown internal dynamics. By constructing optimal cost functions for subsystems and using the actor-critic architecture, virtual and actual optimal controllers are developed to ensure the boundedness of all closed-loop signals. The proposed strategy also guarantees that system states are always confined within some preselected compact sets.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

Article Automation & Control Systems

Adaptive Optimized Backstepping Control-Based RL Algorithm for Stochastic Nonlinear Systems With State Constraints and Its Application

Yongming Li et al.

Summary: This article investigates the adaptive neural-network (NN) tracking optimal control problem for stochastic nonlinear systems with state constraints and uncertain dynamics. The proposed optimal control strategy ensures the boundedness of closed-loop signals and the following ability of the output signal, while restricting the system states within preselected compact sets. The effectiveness of the approach is further demonstrated through numerical and practical system experiments.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

添加到收藏夹

Article Automation & Control Systems

Scene perception based visual navigation of mobile robot in indoor environment

T. Ran et al.

Summary: The paper introduces a vision-based navigation approach using deep learning techniques and shallow CNN to improve scene classification accuracy and efficiency, as well as introducing a combination of AWC algorithm and RC control to enhance robot motion performance.

ISA TRANSACTIONS (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Vision-Based Autonomous Navigation Approach for a Tracked Robot Using Deep Reinforcement Learning

Muhammad Mudassir Ejaz et al.

Summary: A novel end-to-end network architecture was proposed for tracked robots to achieve collision-free autonomous navigation through deep reinforcement learning, improving learning time and exploratory nature. The proposed model, LND3QN, showed superior performance across various environments, with the ability to be directly transferred to a real robot without fine-tuning after training in a simulation environment.

IEEE SENSORS JOURNAL (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Active Inference: Demystified and Compared

Noor Sajid et al.

Summary: Active inference is a first principle account of how autonomous agents operate in dynamic, nonstationary environments. In this paper, the authors provide an overview of active inference in a discrete state setting and compare it to reinforcement learning on the same environments. They show that active inference agents can perform epistemic exploration and account for uncertainty in a Bayesian optimal way, without the need for explicit rewards like in reinforcement learning. Additionally, the paper demonstrates how active inference agents can infer behaviors in reward-free environments compared to Q-learning and Bayesian model-based reinforcement learning agents.

NEURAL COMPUTATION (2021)

添加到收藏夹

Article Automation & Control Systems

An Improved Adaptive Unscented FastSLAM with Genetic Resampling

Ming Tang et al.

Summary: This paper proposes an improved adaptive unscented FastSLAM algorithm, which enhances system tracking ability by using an adaptive factor and constructing a Huber cost function, resampling in particle filter with an improved genetic algorithm to complete robot tracking, achieving good tracking performance and reliable state estimation.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning

Keyu Wu et al.

Summary: This paper proposes a novel end-to-end network architecture for mobile robots to achieve safe autonomous steering through deep reinforcement learning. The proposed method demonstrates significant superiority in various metrics and performs outstandingly in real-world environments containing both static and dynamic obstacles.

IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2021)

添加到收藏夹

Article Geochemistry & Geophysics

Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning

Xiwen Yao et al.

Summary: This article proposes a dynamic curriculum learning strategy to progressively learn object detectors by increasing the difficulty of training images to match the current detection ability. By ranking training images in ascending order of difficulty and selecting easy images to provide reliable instances, the detection ability can be enhanced gradually.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

添加到收藏夹

Article Automation & Control Systems

Real-time Depth Estimation Using Recurrent CNN with Sparse Depth Cues for SLAM System

Sang Jun Lee et al.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2020)

添加到收藏夹

Article Automation & Control Systems

A Neural Network Technique of Compensating for an Inertia Model Error in a Time-delayed Controller for Robot Manipulators

Seul Jung

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Principled reward shaping for reinforcement learning via lyapunov stability theory

Yunlong Dong et al.

NEUROCOMPUTING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Reinforcement learning-based collision avoidance: impact of reward function and knowledge transfer

Xiongqing Liu et al.

AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING (2020)

添加到收藏夹

Article Automation & Control Systems

Adaptive Trajectory Neural Network Tracking Control for Industrial Robot Manipulators with Deadzone Robust Compensator

La Van Truong et al.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference

Changhao Chen et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

添加到收藏夹

Article Automation & Control Systems

Path planning for intelligent robots based on deep Q-learning with experience replay and heuristic knowledge

Lan Jiang et al.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2020)

添加到收藏夹

Article Chemistry, Analytical

Deep Reinforcement Learning for Indoor Mobile Robot Path Planning

Junli Gao et al.

SENSORS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Tractor-Trailer Vehicle Trajectory Planning in Narrow Environments With a Progressively Constrained Optimal Control Approach

Bai Li et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Hierarchical automatic curriculum learning: Converting a sparse reward navigation task into dense reward

Nan Jiang et al.

NEUROCOMPUTING (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-Modal Curriculum Learning for Semi-Supervised Image Classification

Chen Gong et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)

添加到收藏夹

Article Automation & Control Systems

A Continuous Robust Antiswing Tracking Control Scheme for Underactuated Crane Systems With Experimental Verification

Ning Sun et al.

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones

Yongming Li et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An Optimal Satellite Antenna Profile Using Reinforcement Learning

Hyo-Sung Ahn et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2011)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.