Search Results - Optimization and Optimal Control Reinforcement Learning Machine Learning for Robot Control

2-DOF Robot Optimal Control via Artificial Neural Network Reinforcement Learning by Romasevych, Yuriy, Loveikin, Viatcheslav

“…In the study optimal control problem a 2-DOF robot is stated. Criterion, which must be minimized, reflected RMS of drives power and length of the load trajectory in the "x- y" plane…”
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Robot Arm Movement Control by Model-based Reinforcement Learning using Machine Learning Regression Techniques and Particle Swarm Optimization by Mueangprasert, Meta, Chermprayong, Pisak, Boonlong, Kittipong

“… The robot arm movement control is important in the use of robot arms. This paper presents model-based reinforcement learning (MBRL…”
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Robot Control Optimization Using Reinforcement Learning by Song, Kai-Tai, Sun, Wen-Yu

“… This paper proposes a reinforcement learning control approach for overcoming such drawbacks…”
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Deep Reinforcement Learning for Robot Batching Optimization and Flow Control by Hildebrand, Max, Andersen, Rasmus S., Bøgh, Simon

“…Robot batching is an optimization problem found in many industrial applications. Current state-of-the-art approaches utilize a combination of heuristic based parameters and statistical analysis…”
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Optimal control of a two‐wheeled self‐balancing robot by reinforcement learning by Guo, Linyuan, Rizvi, Syed Ali Asad, Lin, Zongli

“…Summary This article concerns optimal control of the linear motion, tilt motion, and yaw motion of a two‐wheeled self‐balancing robot (TWSBR…”
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Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning by Peng, Guangzhu, Chen, C. L. Philip, Yang, Chenguang

“…In this paper, an adaptive admittance control scheme is developed for robots to interact with time-varying environments…”
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Optimal balancing control of bipedal robots using reinforcement learning by Fang Peng, Lijia Ding, Zhijun Li, Chenguang Yang, Chun-Yi Su

“…The balance control a bipedal robot in the presence of external disturbances is still a challenge…”
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Agile Legged Robots Through Reinforcement Learning and Optimal Control by Yang, Yuxiang

“… Traditional optimal control methods, which rely on predefined physics models to optimize motor commands, can precisely track desired motions but cannot plan for complex, long-horizon trajectories due…”
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Online parameter adaptive control of mobile robots based on deep reinforcement learning under multiple optimisation objectives by Sui, Xiuli, Chen, Haiyong

“…Fixed control parameters and various optimisation objectives significantly limit the robot control performance…”
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An Admittance Parameter Optimization Method Based on Reinforcement Learning for Robot Force Control by Hu, Xiaoyi, Liu, Gongping, Ren, Peipei, Jia, Bing, Liang, Yiwen, Li, Longxi, Duan, Shilin

“… control method, which combines classical adaptive control and machine learning methods to make them use their respective advantages in different stages of training and, ultimately, achieve better performance…”
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Self-optimization composite dynamic control for trajectory tracking of robot manipulators via deep reinforcement learning by Kuang, Chenyang, Han, Linyan, Liang, Kun, Mao, Jianliang, Zhang, Chuanlin

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Optimization Control of Attitude Stability for Hexapod Robots Based on Reinforcement Learning by Ji, Shujie, Wei, Wu, Liu, Xiongding, Wu, Junqi

“…To enhance the attitude stability of hexapod robots on rough terrain, this paper introduces a layered modular motion control method, termed reinforcement learning integrated with foot impedance…”
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Decentralized Reinforcement Learning Robust Optimal Tracking Control for Time Varying Constrained Reconfigurable Modular Robot Based on ACI and Q-Function by Dong, Bo, Li, Yuanchun

“…A novel decentralized reinforcement learning robust optimal tracking control theory for time varying constrained reconfigurable modular robots based on action-critic-identifier (ACI…”
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Reinforcement Learning Control of an Aerial Robot Based on a Tuned Proximal Policy Optimization in Takeoff and Hover Phases by Esfandiari, Mohamadamin, Amiri Atashgah, M. A.

“…This paper is dedicated to the implementation of a control system for a flying robot based on reinforcement learning (RL…”
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Value Iteration-Based Adaptive Fuzzy Backstepping Optimal Control of Modular Robot Manipulators via Integral Reinforcement Learning by Dong, Bo, Jiang, Hucheng, Cui, Yiming, Zhu, Xinye, An, Tianjiao

“… The integral reinforcement learning (IRL) is integrated into the VI algorithm, which solves the optimal tracking control issue without system drift dynamics…”
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Adaptive Prescribed-Time Optimal Control for Flexible-Joint Robots via Reinforcement Learning by Xie, Shiyu, Sun, Wei, Sun, Yougang, Su, Shun-Feng

“…) robot systems utilizing the reinforcement learning (RL) strategy. The uniqueness of this method lies in its ability to ensure optimal tracking performance for n-link…”
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Student-t policy in reinforcement learning to acquire global optimum of robot control by Kobayashi, Taisuke

“… optimum for tasks to be learned. The actor-critic algorithm is one of the policy-gradient methods in reinforcement learning, and is proved to learn the policy converging on one of the local optima…”
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Adaptive Optimal Control of Four-Wheel Omni Robot using Reinforcement Learning by Khac, Tuan Nguyen, Thai Huu, Nguyen, Van, Minh Nguyen, Bui Trung, Tuyen

“… This paper develops an optimal adaptive traction control structure based on reinforcement learning for a 4-wheel Omni robot in the condition in which a part of the model is known…”
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Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control by Liu, Wentao, Zhong, Junmin, Wu, Ruofan, Fylstra, Bretta L, Si, Jennie, Huang, He Helen

“…, we validated the effectiveness of two solution approaches to solving the inverse problem using inverse reinforcement learning (IRL…”
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Fault Estimate and Reinforcement Learning Based Optimal Output Feedback Control for Single-Link Robot Arm Model by Liu, Sihan, Yan, Hailong, Zhao, Lixia, Gao, Dongxiang

“…This paper presents an optimal output feedback tracking control scheme for a single-link robot arm (SLRA…”
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