Probability-Based Force Control for Flexible Ureteroscopy Robots
Y Deng, T Yang, Y Zou, J Zhao, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In robotic flexible ureteroscopy, great care should be taken to prevent excessive collision
force at the ureteroscope tip to avoid urinary tissue damage. However, the passive flexure of …
force at the ureteroscope tip to avoid urinary tissue damage. However, the passive flexure of …
[HTML][HTML] Autonomous Robot Goal Seeking and Collision Avoidance in the Physical World: An Automated Learning and Evaluation Framework Based on the PPO …
Mobile robot navigation is a critical aspect of robotics, with applications spanning from
service robots to industrial automation. However, navigating in complex and dynamic …
service robots to industrial automation. However, navigating in complex and dynamic …
Robust Adaptive Trajectory Tracking Sliding Mode Control for Industrial Robot Manipulator using Fuzzy Neural Network
This paper presents a control method for a two-link industrial robot manipulator system that
uses Fuzzy Neural Networks (FNNs) based on Sliding Mode Control (SMC) to investigate …
uses Fuzzy Neural Networks (FNNs) based on Sliding Mode Control (SMC) to investigate …
Tailor-Made Reinforcement Learning Approach with Advanced Noise Optimization for Soft Continuum Robots
J Jayan, LP PS, H Kumar - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
Advancements in the fusion of reinforcement learning (RL) and soft robotics are presented in
this study, with a focus on refining training methodologies for soft planar continuum robots …
this study, with a focus on refining training methodologies for soft planar continuum robots …
Learning-based Control for Tendon-Driven Continuum Robotic Arms
N Maghooli, O Mahdizadeh, M Bajelani… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents a learning-based approach for centralized position control of Tendon
Driven Continuum Robots (TDCRs) using Deep Reinforcement Learning (DRL), with a …
Driven Continuum Robots (TDCRs) using Deep Reinforcement Learning (DRL), with a …
[PDF][PDF] 基于强化学习的多段连续体机器人轨迹规划
刘宜成， 杨迦凌， 梁斌， 陈章 - ELECTRONIC MEASUREMENT …, 2024 - jemi.cnjournals.com
针对多段连续体机器人的轨迹规划问题, 提出了一种基于深度确定性策略梯度强化学习的轨迹
规划算法. 首先, 基于分段常曲率假设方法, 建立连续体机器人的关节角速度和末端位姿的正向 …
规划算法. 首先, 基于分段常曲率假设方法, 建立连续体机器人的关节角速度和末端位姿的正向 …
Research on Key Techniques of Dexterous Movement of Continuum Robots: A Review
Continuum robot has good motion flexibility and strong environmental compliance. It can
well adapt to large deformation and complex environment, and can carry out safe, dexterous …
well adapt to large deformation and complex environment, and can carry out safe, dexterous …
[HTML][HTML] DDPG-based reinforcement learning for controlling a spatial three-section continuum robot
This paper proposes an approach to controlling a spatial three-section continuum robot
using reinforcement learning (RL). Rather than relying on traditional methods that use …
using reinforcement learning (RL). Rather than relying on traditional methods that use …
Trajectory tracking control based on deep reinforcement learning and ensemble random network distillation for robotic manipulator
J Hu, F Wang, J Yi, X Li, Z Xie - Journal of Physics: Conference …, 2024 - iopscience.iop.org
In general, the trajectory tracking of robotic manipulator is exceptionally challenging due to
the complex and strongly coupled mechanical architecture. In this paper, precise track …
the complex and strongly coupled mechanical architecture. In this paper, precise track …
Trajectory planning of multi-stage continuum robot based on reinforcement learning
刘宜成， 杨迦凌， 梁斌， 陈章 - Electric Measurement …, 2024 - emt.cnjournals.com
针对多段连续体机器人的轨迹规划问题, 提出了一种基于深度确定性策略梯度强化学习的轨迹
规划算法. 首先, 基于分段常曲率假设方法, 建立连续体机器人的关节角速度和末端位姿的正向 …
规划算法. 首先, 基于分段常曲率假设方法, 建立连续体机器人的关节角速度和末端位姿的正向 …