We present a method by which a robot learns to predict effective push-locations as a function of object shape. The robot performs push experiments at many contact locations on multiple objects and records local and gl...
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ISBN:
(纸本)9781479910366
We present a method by which a robot learns to predict effective push-locations as a function of object shape. The robot performs push experiments at many contact locations on multiple objects and records local and global shape features at each point of contact. The robot observes the outcome trajectories of the manipulations and computes a novel push-stability score for each trial. The robot then learns a regression function in order to predict push effectiveness as a function of object shape. This mapping allows the robot to select effective push locations for subsequent objects whether they are previously manipulated instances, new instances from previously encountered object classes, or entirely novel objects. In the totally novel object case, the local shape property coupled with the overall distribution of the object allows for the discovery of effective push locations. These results are demonstrated on a mobile manipulator robot pushing a variety of household objects on a tabletop surface.
With the development of video coding and wireless transformation technology, VOD service based on wireless system is accepted by more and more users. We can watch what we want without any limitation of space. Because ...
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ISBN:
(纸本)9780769539232
With the development of video coding and wireless transformation technology, VOD service based on wireless system is accepted by more and more users. We can watch what we want without any limitation of space. Because of time variability and lack of resource, how to guarantee user QoS is crucial in this transform circumstance. In the paper, an automatic cross-layer scheduling algorithm was proposed. By choosing proper scheduling user and video coding pattern, the multi-aim optimization among user QoS, system throughput and system fairness is implemented. Within this process, we adopted an algorithm based on fuzzy iteration and it was proved effective.
Diabetes is a common genetic disease across the world. It is a chronic disease spurred by either production of insufficient production of insulin by the pancreas or less insulin use by the body. Insulin maintains the ...
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Virtual pet ownership has witnessed significant advancements with the emergence of blockchain and Web3 technology. This research paper delves into the transformative impact of integrating blockchain in virtual pet pla...
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It is essential that students and teachers work together to acquire even the most basic nursing care skills to the full extent of the Nursing Process. The nursing procedure is not something that can be learnt in a sin...
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ISBN:
(数字)9781665410052
ISBN:
(纸本)9781665410052
It is essential that students and teachers work together to acquire even the most basic nursing care skills to the full extent of the Nursing Process. The nursing procedure is not something that can be learnt in a single day by any student. There were various difficulties for both learners and mentors during the COVID-19 outbreak when e-learning was used as a mode of instruction. This project was designed to efficiently address learning needs during a pandemic. In this study, baccalaureate nursing students were taught the nursing process using a flipped classroom methodology with the goal of developing knowledge and skill in the nursing *** teach the nursing process during the covid-19 pandemic;A Flipped learning program was planned with 4 online modules to teach the nursing process. To see the effectiveness one group posttest only design was adopted for 36 students selected by consecutive sampling. The whole program was planned with an integrated pedagogy in pre-classroom, during the classroom, and post-classroom activities to attain the objective of comprehensive knowledge & skills acquisition for delivering the nursing process. Teaching for theory was done virtually with prerecorded Video-lecture, PowerPoint Presentation, Pdf. asynchronous & synchronous discussion and demonstration of procedures were done face to face in the skill lab. The final assessment was performed by a self-structured knowledge questionnaire and a practicum exa mination through OSCE in the *** result shows that students scored mean knowledge of 15.2 out of 20 with a standard deviation of 2.6 and a practice score of 9.42 out of 12 with a standard deviation of *** the pedagogy is engaging, from simple to complex, and the whole process is accompanied by self-learning material on computers, the nursing process can be made easier. Students' critical thinking and synthesizing abilities have been boosted by classroom activities. This course has provided students with the oppor
Due to their capacity to support underwater missions, the development of Underwater Acoustic Sensor Networks (UASNs) has drawn in considerable research interest in the last few years. With higher attenuation, longer p...
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The classification of gender based on the biometric is an old and traditional approach which are treated as a sub-branch of "Soft Computing". But in this proposed work, works on the celebrity images dataset ...
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In the present-day scenario, several clothing recommender systems have been developed for the online e-commerce industry. However, when it comes to recommending clothes that a person already possesses, i.e, from their...
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The proceedings contain 185 papers. The topics discussed include: a dynamical model for simulating a debate outcome;optimal sample selection for batch-mode reinforcement learning;extraction of function features for an...
ISBN:
(纸本)9789898425409
The proceedings contain 185 papers. The topics discussed include: a dynamical model for simulating a debate outcome;optimal sample selection for batch-mode reinforcement learning;extraction of function features for an automatic configuration of particle swarm optimization;partially-controlled Markov decision processes for collision avoidance systems;a Bayesian method for the detection of epistasis in quantitative trait loci using Markov chain Monte Carlo model composition with restricted model spaces;an ABM of the development of shared meaning in a social group;a coalition based incentive mechanism for P2P content distribution systems;a game theoretic bidding agent for the AD auction game;stability in matching problems with weighted preferences;continuous preferences for action selection;formalizing virtual organizations;complete distributed consequence finding with message passing;and convergence analysis of a multiagent cooperation model.
This article describes using an evolutionary algorithms to finding an original rule of generated 1D cellular automaton. In this article will be verified possibility and precision of searching rule from generated 1D ce...
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ISBN:
(纸本)9783319484990;9783319484983
This article describes using an evolutionary algorithms to finding an original rule of generated 1D cellular automaton. In this article will be verified possibility and precision of searching rule from generated 1D cellular automaton using different evolutionary algorithms, random generators and rule definition. This extractor can be used for finding cellular automaton rule generating animals patterns like pigment patterns on the shells of mollusks.
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