Marcucci et al., 2017 - Google Patents
Towards minimum-information adaptive controllers for robot manipulatorsMarcucci et al., 2017
View PDF- Document ID
- 2091955913785330424
- Author
- Marcucci T
- Della Santina C
- Gabiccini M
- Bicchi A
- Publication year
- Publication venue
- 2017 American Control Conference (ACC)
External Links
Snippet
The aim of this paper is to move a step in the direction of determining the minimum amount of information needed to control a robot manipulator within the framework of adaptive control. Recent innovations in the state of the art show how global asymptotic trajectory …
- 230000003044 adaptive 0 title abstract description 20
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
- 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
- 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
- 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
- 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
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
-
- 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
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dai et al. | Robust model predictive tracking control for robot manipulators with disturbances | |
| EP3924884B1 (en) | System and method for robust optimization for trajectory-centric model-based reinforcement learning | |
| Yang et al. | Neural networks enhanced adaptive admittance control of optimized robot–environment interaction | |
| Singletary et al. | Online active safety for robotic manipulators | |
| Cheah et al. | Adaptive vision and force tracking control for robots with constraint uncertainty | |
| Izadbakhsh et al. | Robust adaptive control of robot manipulators using Bernstein polynomials as universal approximator | |
| Kramberger et al. | Passivity based iterative learning of admittance-coupled dynamic movement primitives for interaction with changing environments | |
| Beckers et al. | Stable model-based control with Gaussian process regression for robot manipulators | |
| Bechlioulis et al. | Collaborative multi-robot transportation in obstacle-cluttered environments via implicit communication | |
| Qiu et al. | Model predictive control for uncalibrated and constrained image-based visual servoing without joint velocity measurements | |
| Koofigar | Adaptive tracking with external force disturbance rejection for uncertain robotic systems | |
| Jin et al. | Task-driven hybrid model reduction for dexterous manipulation | |
| Michaux et al. | Can't Touch This: Real-Time, Safe Motion Planning and Control for Manipulators Under Uncertainty | |
| Pierallini et al. | A provably stable iterative learning controller for continuum soft robots | |
| Bargsten et al. | Experimental robot inverse dynamics identification using classical and machine learning techniques | |
| He et al. | BP-RRT: Barrier pair synthesis for temporal logic motion planning | |
| Marcucci et al. | Towards minimum-information adaptive controllers for robot manipulators | |
| Brahmi et al. | Adaptive backstepping control of multi-mobile manipulators handling a rigid object in coordination | |
| Giusti et al. | Ultimate robust performance control of rigid robot manipulators using interval arithmetic | |
| Fan et al. | Robot navigation in complex workspaces using conformal navigation transformations | |
| Fan et al. | Conformal navigation transformations with application to robot navigation in complex workspaces | |
| Sun et al. | Adaptive tracking control of mobile manipulators with affine constraints and under-actuated joints | |
| Merva et al. | Globally-Guided Geometric Fabrics for Reactive Mobile Manipulation in Dynamic Environments | |
| Mbede et al. | Fuzzy and recurrent neural network motion control among dynamic obstacles for robot manipulators | |
| Emami et al. | Survey of Multi-Agent Reinforcement Learning to Solve Inverse Kinematic Problems of Redundant Robotic Manipulators |