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An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment
This paper demonstrates a controller design of a multi-legged robotic swarm in a rough terrain environment. Many studies in swarm robotics are...
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Blockchain-Empowered PSO for Scalable Swarm Robotics
Swarm robotics is an innovative field that utilizes collective behavior principles to design systems where multiple robots coordinate through simple...
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Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach
This paper demonstrates to generate a collective behavior of a multi-legged robotic swarm based on the evolutionary robotics approach. Most studies...
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Noise-resistant and scalable collective preference learning via ranked voting in swarm robotics
Swarm robotics studies how to use large groups of cooperating robots to perform designated tasks. Given the need for scalability, individual members...
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A no-code swarm simulation framework for agent-based modeling using nature-inspired algorithms
Swarm robotics describes the coordination among multiple robots assigned to perform a single task collectively and work as a system. The system is...
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Swarm robots using Lévy walk with concession in targets exploration
In the swarm robotics community, Lévy walk has been recognized as one of the most efficient search strategies for the environment, with sparse...
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Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting
Natural events, such as wildfires, pose a serious threat to the human population and cause significant environmental and economic damage. As climate...
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On the evolution of adaptable and scalable mechanisms for collective decision-making in a swarm of robots
A swarm of robots can collectively select an option among the available alternatives offered by the environment through a process known as collective...
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Deep reinforcement learning in mobile robotics – a concise review
Mobile robotics is one of the emerging research area in the robotics. The recently evolving techniques, artificial intelligence and precise hardware...
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Emergence of Communication Through Artificial Evolution in an Orientation Consensus Task in Swarm Robotics
The emergence of communication through evolutionary computation in a swarm of initially non-communicative robots is a highly complex research topic...
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DISS: A Discrete Input-Space Sampling Path Planning and Obstacle Avoidance Strategy for Swarm Robotics
In this research, the path planning and obstacle avoidance problem for Swarm Robotics is addressed. Our contribution consists in a Discrete...
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Choeur Synthétique: An Art Installation Based on Swarm Robotics
A robot swarm is a self-organising system in which a global cooperative response emerges from the local interactions between the robots and their...
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Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Human-machine Hybrid Swarm Intelligence
Swarm intelligence has become a hot research field of artificial intelligence. Considering the importance of swarm intelligence for the future...
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Sl4u: a scenario description language for unmanned swarm
Unmanned swarm systems are now employed in a wide range of applications. Agriculture, commerce, and the military will all benefit from the...
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Self-Organizing Multi-User UAV Swarm Simulation Platform
AbstractUnmanned aerial vehicles (UAV) swarms offer a cost-effective, time-efficient data collection and analysis solution across various...
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Advances in Swarm Intelligence 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II
This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14thInternational Conference on Advances in Swarm Intelligence, ICSI...
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Predictive search model of flocking for quadcopter swarm in the presence of static and dynamic obstacles
One of the main challenges in swarm robotics is to achieve robust and scalable flocking, such that large numbers of robots can move together in a...
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Discrete collective estimation in swarm robotics with distributed Bayesian belief sharing
Multi-option collective decision-making is a challenging task in the context of swarm intelligence. In this paper, we extend the problem of...
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Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution
This paper focuses on generating collective behavior of a robotic swarm using an attention agent. The selective attention mechanism enables an agent...
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Systematic review: Potential effectiveness of educational robotics for 21st century skills development in young learners
Educational Robotics (ER) is an upcoming trend in education. It has been introduced in classrooms to improve the learning environment. It provides...
