Modeling and designing a robotic swarm: A quantum computing approach

Mannone, Maria; Seidita, Valeria; Chella, Antonio

doi:10.1016/j.swevo.2023.101297

Cited by 15 publications

(5 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, we have also worked in the area of modeling the behavior of robotic swarms [24]. The main goal of our work has been to model the emergent behavior of the swarm from a global goal to be achieved and the behavior of the individual elements of the swarm.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

“…In addition, each matrix element is encoded with a number of qubits corresponding to the number of robots in the swarm. For example, in the simplest case, we used four qubits for the interaction between two robots [24]. The result of the quantum simulation led to the specification of the behavioral response of each robot to the input stimuli.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Modeling Robotic Thinking and Creativity: A Classic–Quantum Dialogue

Mannone,

Chella,

Pilato

et al. 2024

Mathematics

Self Cite

View full text Add to dashboard Cite

The human mind can be thought of as a black box, where the external inputs are elaborated in an unknown way and lead to external outputs. D’Ariano and Faggin schematized thinking and consciousness through quantum state dynamics. The complexity of mental states can be formalized through the entanglement of the so-called qualia states. Thus, the interaction between the mind and the external world can be formalized as an interplay between classical and quantum-state dynamics. Since quantum computing is more and more often being applied to robots, and robots constitute a benchmark to test schematic models of behavior, we propose a case study with a robotic dance, where the thinking and moving mechanisms are modeled according to quantum–classic decision making. In our research, to model the elaboration of multi-sensory stimuli and the following decision making in terms of movement response, we adopt the D’Ariano–Faggin formalism and propose a case study with improvised dance based on a collection of poses, whose combination is presented in response to external and periodic multi-sensory stimuli. We model the dancer’s inner state and reaction to classic stimuli through a quantum circuit. We present our preliminary results, discussing further lines of development.

show abstract

Section: Background and Literature Reviewmentioning

confidence: 99%

Section: Background and Literature Reviewmentioning

confidence: 99%

Modeling Robotic Thinking and Creativity: A Classic–Quantum Dialogue

Mannone,

Chella,

Pilato

et al. 2024

Mathematics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Quantum computing is more and more applied to artificial intelligence [23], [24], robotics [25]- [28], and swarm robotics [29]- [33]. The key reasons are the enhancement of algorithms efficiency, and the translation itself from classic codes to quantum codes.…”

Section: A Quantum Computingmentioning

confidence: 99%

“…These information are used as weights to indicate the likelihood of a stream to be considered or not. Such a strategy has been successfully undertaken for robots, where a quantum circuit, accessing remotely an IBM quantum simulator, has been embedded within a Jupyter Notebook, to compute the decision-making of a swarm of robots [33].…”

Section: B Decision-making Systemmentioning

confidence: 99%

Theoretical Quantum Modeling of Improvisation in Networked Music Performances to Regulate the Behaviour of Artificial Musicians

Mannone,

Turchet

2023

2023 4th International Symposium on the Internet of Sounds

Self Cite

View full text Add to dashboard Cite

During collective musical performances over the network that are characterized by improvisation, a performer may face the problem of what connected musician to follow most in order to direct his/her own improvisation. This choice may be taken on the basis of different factors related to the state of the network and of the kind of the received musical signal. In this paper we investigate the possibility to adopt the mathematical formalism of Quantum Mechanics to describe some interaction phenomena occurring during improvised networked music performances. We propose a decision-making system, having a quantum circuit in its core, where the approximated decision by performers is modeled with state superposition and probability amplitudes used in quantum computing. The model considers the levels of signal clarity (i.e., audio quality related to packet losses), latency, and musical novelty (e.g., melodic or harmonic variation with respect to a previous musical sequence) as the factors that affect the decision of a performer to select another connected performer to follow. This model may be exploited to regulate the behaviour of an artificial intelligent agent playing the role of a virtual musician in the networked ensemble (via generative music techniques). This allows to create mixed human-artificial ensembles and even fully artificial ensembles in networked contexts.

show abstract

“…The advantages of having MARS that may increase the flexibility and scalability as well as reduce load among agents, makes cooperative MARS research still active until present day. Example of applications with MARS such as medical robots known as the nano [8] and magnetic robot [9] have been used to send medicine directly to the human organ, inspection robots to inspect and clean pipelines in oil and gas industries [10,11], planetary rovers [12,13], unmanned aerial vehicles [14][15][16][17][18], and swarm robots [19,20]. Due to the importance of MARS in assisting human activities, several researchers have been actively reviewing and discussed a variety of issues related to cooperative MARS [2,21,22] such as formation [23][24][25][26][27], consensus [28][29][30], containment [31][32][33], tracking [34], and rendezvous [29,[35][36][37].…”

Section: Introduction 11 Motivation Of the Researchmentioning

confidence: 99%

Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller

Sariff,

Hilmi Ismail,

Shah Hizam Md Yasir

et al. 2023

Motion Planning for Dynamic Agents

View full text Add to dashboard Cite

Finding consensus is one of the most important tasks in multi-agent robot motion coordination research, especially in a communication environment. This justification underlies the use of event-triggered controller in current multi-agent consensus research. However, the communication issue has not been adequately addressed in a broadcast communication environment for rendezvous applications. Therefore, the broadcast event-triggered (BET) controller with a new formulation was designed using the Simultaneous Perturbation Stochastic Algorithm (SPSA). Theorems and relevant proofs were presented. Agent performances with the BET controller were evaluated and compared with the conventional broadcast time-triggered (BTT) controller. The results showed an effective motion generated by a multi-agent robot to reach the rendezvous point based on the Bernoulli distribution and gradient approximation of the agent local controller. The BET controller has proven to work more efficiently than the BTT controller when it reaches convergence in less than 40.42% of time and 21.00% of iterations on average. The utilization of communication channels is slightly reduced for BET, which is 71.09% usage instead of fully utilized by BTT. The threshold value of the event-triggered function (ETF) and SPSA parameters affected agent performances. Future research may consider using an effective and efficient BET controller in a complex communication environment with many variations of graph topology networks.

show abstract

Modeling and designing a robotic swarm: A quantum computing approach

Cited by 15 publications

References 72 publications

Modeling Robotic Thinking and Creativity: A Classic–Quantum Dialogue

Modeling Robotic Thinking and Creativity: A Classic–Quantum Dialogue

Theoretical Quantum Modeling of Improvisation in Networked Music Performances to Regulate the Behaviour of Artificial Musicians

Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller

Contact Info

Product

Resources

About