A new constraint-based virtual environment for haptic assembly training

Jiang, Wei; Zheng, Jinjin; Zhou, Huaishan; Zhang, Bing-kai

doi:10.1016/j.advengsoft.2016.03.004

Cited by 19 publications

(8 citation statements)

References 18 publications

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“…However, the amount of data in other location databases is very small, which can greatly reduce information transmission to the network. At the same time, it can improve the security of local data [13]. (2) Multiuser interaction: with the development of network technology, the interaction of networks is indispensable for decentralized virtual reality systems [14].…”

Section: Basketball Equipmentmentioning

confidence: 99%

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Zhou

2021

Mathematical Problems in Engineering

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With the development of social economy and the improvement of material level, people are paying more and more attention to their own health, and they are also constantly improving their fitness awareness. As far as the current sports equipment is concerned, the boring exercise methods can no longer satisfy people’s pursuit of higher quality fitness exercises. The embedding of the distributed virtual environment can incorporate its perceptual, immersive, and interactive characteristics, which increases the realization of multiuser interactive behavior in the field of sports equipment in the virtual scene. Therefore, this paper proposes the research and development of basketball sports equipment embedded system based on distributed virtual environment. First of all, this article adopts the literature method to learn the application of distributed virtual environment and embedded system in depth and, secondly, designs the embedded system architecture of basketball sports equipment suitable for distributed virtual environment and the software and hardware framework of the embedded system. Finally, the performance, delay comparison, system optimization test, and other aspects of the embedded system are analyzed. The average delay of interactive functions of embedded systems based on distributed virtual environment is 1.4 min, which saves 4 min compared with traditional interactive methods. And, the throughput rate of the system has also been greatly improved. The research on the embedded system of sports equipment based on the distributed virtual environment proposed in this paper will be beneficial to the development of society and economy, and it can also help more people to enrich the way of sports and enhance the fun of sports.

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Section: Basketball Equipmentmentioning

confidence: 99%

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Zhou

2021

Mathematical Problems in Engineering

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“…In most VR systems for training or maintenance, the disassembly sequence of the product is usually authored just for a specific sequence and stored in the database [5,40,41]. When the faulty part is not in the specific sequence, the system will not work normally.…”

Section: Resultsmentioning

confidence: 99%

Adaptive Disassembly Sequence Planning for VR Maintenance Training via Deep Reinforcement Learning

Mao

Liu²,

Qiu

2021

Preprint

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Given the great inconvenience caused by the randomness of the fault to the maintenance work, it is necessary to perform on-site and efficient disassembly planning for the faulty parts and present them in combination with virtual reality (VR) technology to achieve rapid repair. As a promising method in solving dynamistic and stochastic problems, deep reinforcement learning (DRL) is adopted in this paper for the solution of adaptive disassembly sequence planning (DSP) in the VR maintenance training system, in which sequences can be generated dynamically based on user inputs. Disassembly Petri net is established to describe and model the disassembly process, and then the DSP problem is defined as a Markov decision process (MDP) that can be solved by the deep Q-network (DQN). For handling the temporal credit assignment with sparse rewards, the long-term return in DQN is replaced with the fitness function of the genetic algorithm (GA). Meanwhile, the update method of gradient descent in DQN is adopted to speed up the iteration of the population in GA. A case study has been conducted to prove that the proposed method can provide better solutions for DSP problems in terms of VR maintenance training.

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“…One of the challenging problems to integrate the force feedback is how the physics engine satisfies the high update frequency (1000 Hz) of haptic rendering for stable force feedback. Since the frequency of the physics simulation is limited to 100 Hz in the physics engine, the physics engine and haptic engine are made to run in an asynchronous execution [ 30 ]. Figure 5 illustrates the two main haptic units of a tele-nano-manipulation system.…”

Section: Methodsmentioning

confidence: 99%

Haptic-Based Manipulation Scheme of Magnetic Nanoparticles in a Multi-Branch Blood Vessel for Targeted Drug Delivery

Hamdipoor

Afzal

et al. 2018

Micromachines

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Magnetic drug targeting is a promising technique that can deliver drugs to the diseased region, while keeping the drug away from healthy parts of body. Introducing a human in the control loop of a targeted drug delivery system and using inherent bilateralism of a haptic device at the same time can considerably improve the performance of targeted drug delivery systems. In this paper, we suggest a novel intelligent haptic guidance scheme for steering a number of magnetic nanoparticles (MNPs) using forbidden region virtual fixtures and a haptic rendering scheme with multi particles. Forbidden region virtual fixtures are a general class of guidance modes implemented in software, which help a human-machine collaborative system accomplish a specific task by constraining a movement into limited regions. To examine the effectiveness of our proposed scheme, we implemented a magnetic guided drug delivery system in a virtual environment using a physics-based model of targeted drug delivery including a multi-branch blood vessel and realistic blood dynamics. We performed user studies with different guidance modes: unguided, semi virtual fixture and full virtual fixture modes. We found out that the efficiency of targeting was significantly improved using the forbidden region virtual fixture and the proposed haptic rendering of MNPs. We can expect that using intelligent haptic feedback in real targeted drug delivery systems can improve the targeting efficiency of MNPs in multi-branch vessels.

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A new constraint-based virtual environment for haptic assembly training

Cited by 19 publications

References 18 publications

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Adaptive Disassembly Sequence Planning for VR Maintenance Training via Deep Reinforcement Learning

Haptic-Based Manipulation Scheme of Magnetic Nanoparticles in a Multi-Branch Blood Vessel for Targeted Drug Delivery

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