[PDF] Top 20 An approach to simplify the learning space for robot learning control
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An approach to simplify the learning space for robot learning control
... The main reason for this deficiency is that the learning space for executing general motions of multi-joint robot manipulators is too large, In this paper, we propose an approac[r] ... See full document
16
An approach to enlarge learning space coverage for robot learning control
... motor control block diagram. to deal with the whole class of ...reason for adopting the CMAC-type neural network rather than another type of neural network is that its learning ... See full document
12
Robot motion classification from the standpoint of learning control
... In robot learning control, the learning space for executing the general motions of multi-joint robot ma- nipulators is very ...when the ... See full document
12
Reinforcement learning and robust control for robot compliance tasks
... has an upper bound at zero, and the task objective is fulfilled when r reaches ...In the next stage, the learning process is used to generate commands C d that cause the ... See full document
18
Robot control optimization using reinforcement learning
... of robot dynamics poses considerable problems and faces various uncertainties in task ...reinforcement learning control approach for overcoming such ...drawbacks. An artificial ... See full document
18
Robot motion similarity analysis using an FNN learning mechanism
... of the proposed similarity analysis on robot motion classi7cation can therefore lead to an organized and simpli7ed learning space for motion ...both the similarity ... See full document
16
Robot learning schemes that trade motion accuracy for command simplification
... by the human motor control system in its ability to accommodate a wide variety of ...contrast, the biologically inspired robot learning controller usually encounters huge ... See full document
17
Implementation of a variable D-H parameter model for robot calibration using an FCMAC learning algorithm
... avoid the tedious and time-consuming procedures involved in collecting a large number of measurement data for calibration, an automatic measurement process was ...needed to find a feasible and ... See full document
34
Incremental learning for robot control
... 16 sonar sensors around the robot are taken. The sen- sor readings are divided into four states along each di-.. There are four primitive actions, moving for- ward, moving backward[r] ... See full document
6
Reinforcement learning and its application to force control of an industrial robot
... a learning control design, together with an experimental study for implementing it on an industrial robot working in constrained ...reinforcement learning scheme is ... See full document
8
A repetitive learning method based on sliding mode for robot control
... contrast to Fig. 8 共a兲, tracking errors in Fig. 8共b兲 progressively reduce to a smaller range through ...repetitive learning controller outperforms the sliding mode controller. The large ... See full document
9
Reinforcement learning for an ART-based fuzzy adaptive learning control network
... IEEE TRANSACTIONS ON NEURAL. 3, MAY 1996 reinforcement signals from the critic network, which has only one output node since it is used to predict the external scalar reinforcem[r] ... See full document
23
An Incremental Learning Approach to Motion Planning with Roadmap Management
... approaches to the motion-planning problem can be classified into solu- tions for single-query and multiple-query problems with the tradeoffs on run-time com- putation cost and adaptability ... See full document
14
Dynamic scheduling approach to group control of elevator systems with learning ability
... In this paper; a hybrid model of a multiple elevator system is proposed, consisting of a color-timed transition Petri net (CTTPN) model and a set of control rules [r] ... See full document
6
The Learning-based Approach to Forecasting the Flight Load Factor
... Abstract To effectively forecast the flight load factor is pivotal in the aviation ...proposes the cramming, softening and integrating (CSI) algorithm, a sequentially-learning-based ... See full document
1
Synchronous navigation control for distance learning on the Web
... In this model, an instructor (technically, master) can setup a learning group, and those who wish to be guided distantly (technically, slaves) during the study may h[r] ... See full document
12
INTEGRAL VARIABLE STRUCTURE CONTROL APPROACH FOR ROBOT MANIPULATORS
... Abstract: An integral variable structure control (IVSC) approach for robot manipulators is pre- sented to achieve accurate servo-tracking in the presence of load va[r] ... See full document
6
A Learning State Space Model for Image Retrieval
... though the content could have been retrieved from a much closer ...streams. To address this, there has been a spate of recent e ffort on systems, information exchange, and control to enable ... See full document
12
Learning disjunctive concepts by the version space strategy
... 摘要: Learning general concepts from a set of training instances has become increasingly important for artificial intelligence research on constructing knowledge-based ...systems. Learning strategies, ... See full document
1
Learning disjunctive concepts by the version space strategy
... 摘要: Learning general concepts from a set of training instances has become increasingly important for artificial intelligence research on constructing knowledge-based ...systems. Learning strategies, ... See full document
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