A Real-Time Robot Motion Generation System Based on Human Gesture

Lecture Notes on Data Engineering and Communications Technologies - Advances on Broadband and Wireless Computing, Communication and Applications ◽

10.1007/978-3-030-02613-4_12 ◽

2018 ◽

pp. 135-146

Author(s):

Toshiyuki Haramaki ◽

Kenta Goto ◽

Hokuto Tsutsumi ◽

Akihito Yatsuda ◽

Hiroaki Nishino

Keyword(s):

Real Time ◽

Robot Motion ◽

Motion Generation ◽

Generation System

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Real-Time Collision-Free Multi-Objective Robot Motion Generation

Advanced Human-Robot Collaboration in Manufacturing ◽

10.1007/978-3-030-69178-3_5 ◽

2021 ◽

pp. 115-139

Author(s):

Yuquan Wang ◽

Lihui Wang

Keyword(s):

Real Time ◽

Robot Motion ◽

Motion Generation ◽

Multi Objective

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Hardware-in-the-loop Real-time Simulation of Back-to-back Converter for Doubly-fed Wind Power Generation System Based on FPGA

2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia) ◽

10.1109/ipemc-ecceasia48364.2020.9368132 ◽

2020 ◽

Author(s):

Jin Gao ◽

Siyu Wang ◽

Pengfei Zhan ◽

Jing Wang ◽

Ning Wang ◽

...

Keyword(s):

Power Generation ◽

Real Time ◽

Wind Power ◽

Wind Power Generation ◽

Hardware In The Loop ◽

Generation System ◽

Real Time Simulation ◽

Time Simulation ◽

Power Generation System ◽

Doubly Fed

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Bi-level stochastic real-time pricing model in multi-energy generation system: A reinforcement learning approach

Energy ◽

10.1016/j.energy.2021.121926 ◽

2021 ◽

pp. 121926

Author(s):

Li Zhang ◽

Yan Gao ◽

Hongbo Zhu ◽

Li Tao

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Energy Generation ◽

Learning Approach ◽

Pricing Model ◽

Generation System ◽

System A ◽

Real Time Pricing

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A Real-time Sculpting and Terrain Generation System for Interactive Content Creation

IEEE Access ◽

10.1109/access.2021.3105417 ◽

2021 ◽

pp. 1-1

Author(s):

Chien-Wen Chen ◽

Min-Chun Hu ◽

Wei-Ta Chu ◽

Jun-Cheng Chen

Keyword(s):

Real Time ◽

Generation System ◽

Content Creation ◽

Terrain Generation

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Humanoid robot motion generation with sequential physical constraints

Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. ◽

10.1109/robot.2006.1642101 ◽

2006 ◽

Cited By ~ 18

Author(s):

M. Ruchanurucks ◽

S. Nakaoka ◽

Shunsuke Kudoh ◽

K. Ikeuchi

Keyword(s):

Humanoid Robot ◽

Robot Motion ◽

Motion Generation ◽

Physical Constraints

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Real-time humanoid motion generation through ZMP manipulation based on inverted pendulum control

Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292) ◽

10.1109/robot.2002.1014740 ◽

2003 ◽

Cited By ~ 138

Author(s):

T. Sugihara ◽

Y. Nakamura ◽

H. Inoue

Keyword(s):

Real Time ◽

Inverted Pendulum ◽

Motion Generation

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Real-Time Scheduling Method Based on Deep Reinforcement Learning for a Hybrid Wind-Solar-Storage Energy Generation System

10.1049/icp.2021.2317 ◽

2021 ◽

Author(s):

Z. Wu ◽

Y. Chi ◽

X. Tang ◽

X. Yang ◽

R. Lin ◽

...

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Energy Generation ◽

Generation System ◽

Real Time Scheduling ◽

Time Scheduling ◽

Scheduling Method ◽

Storage Energy

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Implementation of Real-Time Power Swing Detection Based on Support Vector Machine of Distributed Generation System Using LabVIEW MyRIO

2018 21st International Conference on Electrical Machines and Systems (ICEMS) ◽

10.23919/icems.2018.8549072 ◽

2018 ◽

Cited By ~ 1

Author(s):

Wirot Buangam ◽

Watanyu Meesrisuk

Keyword(s):

Support Vector Machine ◽

Real Time ◽

Distributed Generation ◽

Support Vector ◽

Generation System ◽

Power Swing

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Modelling, simulation and real-time control of a laboratory tide generation system

Control Engineering Practice ◽

10.1016/j.conengprac.2018.10.016 ◽

2019 ◽

Vol 83 ◽

pp. 165-175 ◽

Cited By ~ 4

Author(s):

Mirco Rampazzo ◽

Davide Tognin ◽

Martina Pagan ◽

Luca Carniello ◽

Alessandro Beghi

Keyword(s):

Real Time ◽

Generation System ◽

Real Time Control ◽

Time Control ◽

Modelling Simulation

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Study on the Motion Generation Method of Gun Training Simulator

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.182-183.1673 ◽

2012 ◽

Vol 182-183 ◽

pp. 1673-1680

Author(s):

Yu Wang ◽

Ri Na Su

Keyword(s):

Real Time ◽

Driving Force ◽

Motion Simulation ◽

Motion Generation ◽

Motion Platform ◽

Training Simulator ◽

Simulation Experiments ◽

Optimize Design ◽

Homogeneous Matrix ◽

And Control

A kind of 3-RPS and 3-DOF parallel robotic mechanisms is used as motion-sensible-platform of gun training simulator to implement the motion simulation. Its dynamics is analyzed and driving force of joint is gained. This paper introduces the study on motion generation of gun training simulator. The moving model of gun is established on the basis of the model of vehicle. We solve the pose of gun by applying the theory of homogeneous matrix. In order to ensure actuators moving at a preset speed and enable the motion-sensible-platform to perform a real-time moving posture simulation of a wheeled gun vehicle in running, the speed equation of actuator is given. The feasibility of models was tested through the simulation experiments. All of these works are beneficial to optimize design and control realization of motion platform structure.

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