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This paper introduces a distributed leaderless swarm formation control framework to address the problem of collectively driving a swarm of robots to track a time-varying formation. The swarm's formation is captured by the trajectory of an…

机器人学 · 计算机科学 2022-04-12 Solomon Gudeta , Ali Karimoddini , Mohammadreza Davoodi , Ioannis Raptis

Coordination of movement and configuration in robotic swarms is a challenging endeavor. Deciding when and where each individual robot must move is a computationally complex problem. The challenge is further exacerbated by difficulties…

机器人学 · 计算机科学 2025-11-17 Prab Prasertying , Paulo Garcia , Warisa Sritriratanarak

Humans possess a remarkable talent for flexibly alternating to different senses when interacting with the environment. Picture a chef skillfully gauging the timing of ingredient additions and controlling the heat according to the colors,…

机器人学 · 计算机科学 2024-10-28 Ruoxuan Feng , Di Hu , Wenke Ma , Xuelong Li

Many swarm robotics tasks consist of multiple conflicting objectives. This research proposes a multi-objective evolutionary neural network approach to developing controllers for swarms of robots. The swarm robot controllers are trained in a…

机器人学 · 计算机科学 2023-07-27 Karl Mason , Sabine Hauert

The development of robot control programs is a complex task. Many robots are different in their electrical and mechanical structure which is also reflected in the software. Specific robot software environments support the program…

机器人学 · 计算机科学 2015-03-17 Michael Reckhaus , Nico Hochgeschwender , Paul G. Ploeger , Gerhard K. Kraetzschmar

Swarm robotics has experienced a rapid expansion in recent years, primarily fueled by specialized multi-robot systems developed to achieve dedicated collective actions. These specialized platforms are in general designed with swarming…

Micro- and molecular-robotic systems act as large-scale swarms. Capabilities of sensing, communication and information processing are very limited on these scales. This short position paper describes a swarm-based minimalistic approach,…

机器人学 · 计算机科学 2015-03-19 S. Kornienko , O. Kornienko

A command-following robot that serves people in everyday life must continually improve itself in deployment domains with minimal help from its end users, instead of engineers. Previous methods are either difficult to continuously improve…

机器人学 · 计算机科学 2023-10-18 Peixin Chang , Shuijing Liu , Tianchen Ji , Neeloy Chakraborty , Kaiwen Hong , Katherine Driggs-Campbell

In this work we present AURA, a framework for synergistic human-artist painting. We developed a robot arm that collaboratively paints with a human artist. The robot has an awareness of the artist's heartbeat through the EmotiBit sensor,…

机器人学 · 计算机科学 2025-11-20 Angshu Adhya , Cindy Yang , Emily Wu , Rishad Hasan , Abhishek Narula , Patrícia Alves-Oliveira

When designing swarm-robotic systems, systematic comparison of algorithms from different domains is necessary to determine which is capable of scaling up to handle the target problem size and target operating conditions. We propose a set of…

机器人学 · 计算机科学 2019-07-10 John Harwell , Maria Gini

Long-term monitoring and exploration of extreme environments, such as underwater storage facilities, is costly, labor-intensive, and hazardous. Automating this process with low-cost, collaborative robots can greatly improve efficiency.…

机器人学 · 计算机科学 2025-03-05 Shuang Chen , Yifeng He , Barry Lennox , Farshad Arvin , Amir Atapour-Abarghouei

Robotic technology has been widely used in nowadays society, which has made great progress in various fields such as agriculture, manufacturing and entertainment. In this paper, we focus on the topic of drumming robots in entertainment. To…

机器人学 · 计算机科学 2023-10-05 Yang Yi , Zonghan Li

We propose a novel human-swarm interaction system, allowing the user to directly control a swarm of drones in a complex environment through trajectory drawing with a hand gesture interface based on the DNN-based gesture recognition. The…

机器人学 · 计算机科学 2021-07-26 Valerii Serpiva , Ekaterina Karmanova , Aleksey Fedoseev , Stepan Perminov , Dzmitry Tsetserukou

Soft robotics has emerged as a versatile field with applications across various domains, from healthcare to industrial automation, and more recently, art and interactive installations. The inherent flexibility, adaptability, and safety of…

We propose a decentralized control algorithm for a minimalistic robotic swarm with limited capabilities such that the desired global behavior emerges. We consider the problem of searching for and encapsulating various targets present in the…

机器人学 · 计算机科学 2023-01-16 Himani Sinhmar , Hadas Kress-Gazit

Continuum robots, which often rely on interdisciplinary and multimedia collaborations, have been increasingly recognized for their potential to revolutionize the field of human-computer interaction (HCI) in varied applications due to their…

机器人学 · 计算机科学 2024-10-08 Po-Yu Hsieh , June-Hao Hou

This paper focuses on coordinating a robot swarm orbiting a convex path without collisions among the individuals. The individual robots lack braking capabilities and can only adjust their courses while maintaining their constant but…

机器人学 · 计算机科学 2024-02-22 Jesús Bautista , Héctor García de Marina

Swarm behaviour engineering is an area of research that seeks to investigate methods and techniques for coordinating computation and action within groups of simple agents to achieve complex global goals like pattern formation, collective…

人工智能 · 计算机科学 2025-08-13 Gianluca Aguzzi , Roberto Casadei , Mirko Viroli

Innovative ideas are continuously emerging to produce better life conditions where essential human needs are supposed to be fulfilled with perfect scenarios leading us to propose modern strategies drawing the future of smart cities. In this…

机器人学 · 计算机科学 2025-12-23 Abdullatif Baba

In this work we consider development of IR-based communication and perception mechanisms for real microrobotic systems. It is demonstrated that a specific combination of hardware and software elements provides capabilities for navigation,…

机器人学 · 计算机科学 2011-09-19 S. Kornienko , S. Kornienko