Gillawat et al., 2020 - Google Patents
Human upper limb joint torque minimization using genetic algorithmGillawat et al., 2020
View PDF- Document ID
- 8466036575939202663
- Author
- Gillawat A
- Nagarsheth H
- Publication year
- Publication venue
- Recent Advances in Mechanical Engineering: Select Proceedings of NCAME 2019
External Links
Snippet
Minimization of joint torque has been a keen interest of researchers to predict the trajectory to achieve the desired position. Dynamic equations are used to define objective function and range of motions of human upper limb joints are set as constraints. MATLAB genetic …
- 230000002068 genetic 0 title abstract description 28
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/39—Robotics, robotics to robotics hand
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/40—Robotics, robotics mapping to robotics vision
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Patel et al. | Task based synthesis of serial manipulators | |
Köker et al. | A neuro-genetic-simulated annealing approach to the inverse kinematics solution of robots: a simulation based study | |
Rokbani et al. | A beta salp swarm algorithm meta-heuristic for inverse kinematics and optimization | |
Gao et al. | Optimal trajectory planning for robotic manipulators using improved teaching-learning-based optimization algorithm | |
Zhu et al. | Human–robot shared control for humanoid manipulator trajectory planning | |
Lai et al. | A learning-based inverse kinematics solver for a multi-segment continuum robot in robot-independent mapping | |
Singh et al. | A review on forward and inverse kinematics of classical serial manipulators | |
Chen et al. | Jerk-level synchronous repetitive motion scheme with gradient-type and zeroing-type dynamics algorithms applied to dual-arm redundant robot system control | |
Zhang et al. | An intelligent manufacturing cell based on human–robot collaboration of frequent task learning for flexible manufacturing | |
Weitschat et al. | Dynamic optimality in real-time: A learning framework for near-optimal robot motions | |
Jangid et al. | Trajectory tracking optimization and control of a three link robotic manipulator for application in casting | |
Ortiz et al. | Coordinated control of a omnidirectional double mobile manipulator | |
Gillawat et al. | Human upper limb joint torque minimization using genetic algorithm | |
Kumar et al. | Robotic arm movement optimization using soft computing | |
Zhou et al. | Collision-free compliance control for redundant manipulators: an optimization case | |
Chandan et al. | Inverse kinematics analysis of 7-degree of freedom welding and drilling robot using artificial intelligence techniques | |
Jiang et al. | Obstacle avoidance of a redundant robot using virtual force field and null space projection | |
Oguz et al. | Hybrid human motion prediction for action selection within human-robot collaboration | |
Andaluz et al. | Numerical methods for cooperative control of double mobile manipulators | |
Mishra et al. | Development of a flexible assembly system using industrial robot with machine vision guidance and dexterous multi-finger gripper | |
Lopes et al. | A Review on Quadruped Manipulators | |
Kodali et al. | development of an Optimal pId Controller for the 4-dOF manipulator Using Genetic Algorithm | |
Habib et al. | Engineering creative design in robotics and mechatronics | |
Abed et al. | Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators | |
Guan et al. | A novel RBF neural network–based sliding mode controller for a master–slave motor coordinated drive system |