The use of collaborative robots (or cobots) in rehabilitation therapies is aimed at assisting and shortening the patient’s recovery after neurological injuries. Cobots are inherently safe when interacting with humans can be programmed different working modalities based on needs level injury. This study presents a design optimization robotic system for upper limb manipulability ellipsoid method....

Several biology inspired optimization algorithms such as Genetic Algorithms, Ant Colony Optimization (ACO)and Particle Swarm Optimization (PSO) have previously been proposed by researchers. Recent approaches in numerical optimization have shifted to motivate from complex human social behaviors. In this paper, a new optimization algorithm, namely parliamentary optimization algorithm (POA) is pro...

This paper focuses on the development of an efficient distributed collaborative optimization method for the design of remote sensing small satellite mission in low earth orbit (LEO). The satellite mission requirement involves the duration in which the satellite is able to take images, send data to the ground station and the amount of information it can store. Conventionally, all at once methods...

In this paper we focus on solving DCOPs in communication constrained scenarios. The GDL algorithm optimally solves DCOP problems, but requires the exchange of exponentially large messages which makes it impractical in such settings. Function filtering is a technique that alleviates this high communication requirement while maintaining optimality. Function filtering involves calculating approxim...

Large networks, such as the electric grid, are controlled by multitudes of agents, such as relays, voltage regulators and optimization programs. To make such agents more effective, we suggest: a common framework for specifying tasks, a collaborative net by which neighboring agents can exchange information, and a protocol to ensure that the collaborations will be helpful. We propose a basic prot...

In order to more effectively study the resource optimization problem of complex manufacturing collaborative logistics network, the study combines the features of complex manufacturing, has a system analysis for complex manufacturing collaborative logistics network and expect to have a better understand about its internal composition. Therefore, under the guidance of Synergetic and dissipative s...

Multidisciplinary Design Optimization (MDO) is the most active fields in the current complex engineering system design. Forcing to the defects of traditional Collaborative Optimization, such as unable to convergence or falling into local optimum, we propose a Collaborate Optimization based on Simulated Annealing and Artificial Neural Networks, (SA-ANN-CO). The SA-ANN-CO algorithm inherit the pa...

Collaborative optimization is a new design architecture speci cally created for large-scale distributed-analysis applications. In this approach, a problem is decomposed into a user-de ned number of subspace optimization problems that are driven towards interdisciplinary compatibility and the appropriate solution by a system-level coordination process. This decentralized design strategy allows d...