Search
Search Results
-
Collective Behavior for Swarm Robots with Distributed Learning
The swarm robot system has great application potential in surveillance and reconnaissance tasks. In this paper, we apply a swarm robot system, which...
-
Combining Lévy Walks and Flocking for Cooperative Surveillance Using Aerial Swarms
Continuous area coverage missions are a fundamental part of many swarm robotics applications. One of such missions is cooperative surveillance, where...
-
Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework
In this paper, we introduce the large language model (LLM) ChatGPT-3.5 to automatically and intelligently generate a new metaheuristic algorithm (MA)...
-
A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms
In this paper, we propose a novel range and bearing sensing (RnB) system for micro-air vehicle (MAV) swarms. The RnB system uses 12 infrared (IR)...
-
Detecting Swarm Degradation: Measuring Human and Machine Performance
Swarms comprise robotic assets that operate via local control algorithms. As these technologies come online, understanding how humans interact with...
-
MacroSwarm: A Field-Based Compositional Framework for Swarm Programming
Swarm behaviour engineering is an area of research that seeks to investigate methods for coordinating computation and action within groups of simple...
-
Social DNA Nanorobots
We describe social DNA nanorobots, which are autonomous mobile DNA devices that execute a series of pair-wise interactions between simple individual...
-
Design of PSO tuned PID controller for different types of plants
Several innovative techniques have been developed recently for the intelligent design of the widely used PID controllers for industrial systems where...
-
Collective Gradient Perception in a Flocking Robot Swarm
Animals can carry their environmental sensing abilities beyond their own limits by using the advantage of being in a group. Some animal groups use...
-
Particle Swarm Optimization
Particle Swarm Optimization (PSO) [Kennedy, 2010, Kennedy and Eberhart, 1995] is an optimization algorithm designed for continuous optimization. Like...
-
Swarming as a Bird/Fish: Investigating the Effect of First-Person Perspective Simulation on Players’ Connectedness with Nature
During recent years, the need to promote environmental knowledge and pro-environmental behaviors has become more evident. The efforts towards...
-
I2SL: Learn How to Swarm Autonomous Quadrotors Using Iterative Imitation Supervised Learning
In this paper, a decentralized controller for a quadrotor swarm is presented following the leader-follower principle. The quadrotors embedding the...
-
Modelling Flocks of Birds from the Bottom Up
We argue that compositional specification based on formal languages can facilitate the modelling of, and reasoning about, sophisticated collective...
-
Bio-inspired self-organized cooperative control consensus for crowded UUV swarm based on adaptive dynamic interaction topology
Cooperative control is currently a challenging topic of crowded unmanned underwater vehicle (UUV) swarm. However, individual behavior conflict and...
-
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...
-
Sm-vsn-3c: a new Starlings model-based virtual sensor networks for coverage, connectivity, and data ccommunication
The study of continuous natural or industrial phenomena in time and space requires the emergence of new wireless sensor networks. A virtual sensor...
-
Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments
Coordinating multiple unmanned aerial vehicles (multi-UAVs) is a challenging technique in highly dynamic and sophisticated environments. Based on...
-
A State-of-the-Art Literature Review on Drone Optimization
Drone optimization is a process where optimal results of drone applications are drawn. In this chapter, we have reviewed some recent work on drone...
-
An analytical study on leader and follower switching in V-shaped Canada Goose flocks for energy management purposes
Migrating birds may take advantage of V-shaped flocking to reduce the required energy for their flight. Studies have shown that the birds in...
-
A Framework for UAV Swarm Situation Awareness
This paper proposes a framework for situation awareness in a multi-agent environment. In our work, the framework is composed of 3 key components:...