[PDF] Top 20 A macroscopic probabilistic model of adaptive foraging in swarm robotics systems
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A macroscopic probabilistic model of adaptive foraging in swarm robotics systems
... a macroscopic probabilistic model of a swarm of foraging robots from the homogeneous to the heterogeneous ...the swarm, each robot is capable of adjusting its searching time and ... See full document
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Modeling and optimization of adaptive foraging in swarm robotic systems
... in swarm robotics using probabilistic ...is macroscopic modelling, which aims to directly describe the overall collective behaviour of the ...the macroscopic probabilistic ... See full document
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Swarm robotics: Cooperative navigation in unknown environments
... design swarm robotics ...to model the behavior of stick pulling where two robots have to collaborate to pull a stick [ 48 , 57 ...to model the individual behavior of foraging using each ... See full document
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Implementation of symbolic model checking for probabilistic systems
... An alternative usage of MTBDDs for MDP analysis can be found in [HSAHB99]. Al- though the application domain is very different, decision-theoretic planning, the solution algorithm implemented bears a marked similarity to ... See full document
222
Combining Blockchain and Swarm Robotics to Deploy Surveillance Missions
... As Benet mentions in his paper [17] “The InterPlanetary File System (IPFS) is a Peer-to-Peer distributed file system that seeks to connect all computing devices with the same system of files.”. Robots throughout the life ... See full document
53
Design and development of an inexpensive aquatic swarm robotics system
... II. H ULL D ESIGN For our robotics units, we opted for a monohull- shaped vessel (see Figure 2), which is machinable from a single block of raw material. The robots are relatively small (L 65 cm × W 40 cm × H 15 ... See full document
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An Adaptive Probabilistic Model for Broadcasting in Mobile Ad Hoc Networks
... Figure 1 shows the efficiency of each protocol for these different networks and Figure 2 plots the delivery ratio. As can be seen from Figure 2, all five protocols manage a reachability of 95% or higher, which can be ... See full document
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Cooperative transport in swarm robotics. Multi object transportation
... Introduction Swarm robotics is a field of robotics in which multiple robots are coordinated in a decentralized and distributed manner as defined by Navarro and Matía [ 4 ...]. Swarm ... See full document
101
Probabilistic Online Learning Of Appearance And Structure For Robotics
... grasping. They viewed the GPIS representation as a good choice for the applicaiton becuase it allows uncertain sensory fusion in a probabilistic way and it serves as a basis for efficient grasp and motion ... See full document
121
Adaptive Bacterial Foraging Oriented Particle Swarm Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem
... from noxious elements known as Foraging. BFO algorithm draws its inspiration from this foraging behaviour. Bacteria have a tendency to gather to the nutrient-rich areas by activity called Chemo taxis. Its ... See full document
6
Adaptive Particle Swarm Optimization Scheduling Model for Jobs on Cloud
... Particle swarm optimization [KE95] is another prominent algorithm used in scheduling resources on the cloud [M+13]. It implements the natural schooling behavior of fish and schooling behavior of birds. Reasons for ... See full document
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Probabilistic DHP adaptive critic for nonlinear stochastic control systems
... the probabilistic DHP adaptive critic approach discussed in Section ...the probabilistic DHP adaptive critic approach involves multiple computation levels, its implementation can be made by ... See full document
12
Efficient Strategy for Collective Navigation Control in Swarm Robotics
... the swarm able to perform complex tasks is the division of the entire behavior into ...the swarm as a ...the swarm may be divided into groups to perform the same - or different - subtasks in ... See full document
10
Synthesis of formation control for an aquatic swarm robotics system
... accurate model that mimics the dynamics and the interac- tion of the robot in the environment, which can be developed through the measure of the real-world parameters making use of robot's sensors and actuators, ... See full document
83
Probabilistic and Epistemic Model Checking for Multi-Agent Systems
... properties as well as likelihoods of events. The syntax of K-PCTL is as follows: φ ::= true | a | ¬φ | φ ∧ φ | P rel p [ψ] | K i φ | C G φ | E G φ ψ ::= φ | φU ≤k φ | φUφ where a is an atomic proposition, rel ∈ {≤, ... See full document
152
Learning Collaborative Foraging in a Swarm of Robots using Embodied Evolution
... To further investigate this behavior, we look at how items of different colors are collected. Figure 5 shows the proportion of the total number of items of each color collected per run. The violin plots are grouped in ... See full document
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Distributed Colony-Level Algorithm Switching for Robot Swarm Foraging
... 3.3 Adaptive Algorithm The rst two algorithms, gradient and sweeper, each have strengths and weak- ...The adaptive algorithm combines the benets of these two algorithms, along with random walk, by trying ... See full document
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A probabilistic model for user interest propagation in recommender systems
... 3) IMPACT OF THE DIMENSIONALITY k We analyze the impact of the dimensionality k of users and items for the models under comparison. We perform this study on the FilmTrust dataset. Here, we consider the dimen- sion k = ... See full document
11
Cloud Robotics Model
... “cloud-enabled robotics” was presented by James Kuffner for the first time at the IEEE RAS ...Humanoid Robotics in ...with robotics, primarily to enhance the robot [3]. Cloud Robotics has ... See full document
8
Adaptive particle swarm optimization
... Industrial Systems and Control Limited, ...control systems and the discovery of novel systems using evolutionary learning and intelligent search ...on Systems, Control, and Drives in ... See full document
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