Article
Engineering, Multidisciplinary
Yang Zhou, Wei Wang, Han Zhang, Xingwen Zheng, Liang Li, Chen Wang, Gang Xu, Guangming Xie
Summary: This study develops an underwater multi-robot coordination system using a bio-inspired electrocommunication mechanism. By designing a TDMA network protocol and a distributed controller, coordination and control among underwater robots are achieved.
BIOINSPIRATION & BIOMIMETICS
(2022)
Article
Chemistry, Multidisciplinary
Giovanni Bianchi, Simone Cinquemani, Ferruccio Resta
Summary: A bio-inspired underwater robot is suitable for underwater exploration, environmental monitoring, and search and rescue due to its high propulsion efficiency. Fish swimming serves as a promising inspiration source, as their unique fin motion allows for thrust generation with small energy dissipation.
APPLIED SCIENCES-BASEL
(2021)
Review
Computer Science, Interdisciplinary Applications
Amjaad Alhaqbani, Heba A. Kurdi, Manar Hosny
Summary: This paper presents a comprehensive survey on fish-inspired heuristics, including artificial fish swarm algorithm (AFSA), Fish school search (FSS), and other algorithms inspired by specific fish species. The findings of the survey suggest that these algorithms still have great potential in solving complex problems and are very active in recent literature.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Review
Multidisciplinary Sciences
Haibin Duan, Mengzhen Huo, Yanming Fan
Summary: This article discusses the inspiration of swarm robotics from the collective behaviors of animals and their application in unmanned swarm systems and human-machine systems. Collective behaviors in animals, driven by simple interaction rules, exhibit intelligent properties such as self-organization, robustness, adaptability, and expansibility. These properties have inspired the design of autonomous unmanned swarm systems. The article reviews typical natural collective behaviors, introduces the concept of swarm intelligence, and presents application cases of animal collective behaviors. It also focuses on the progress and bionic achievements of aerial, ground, and marine robotics swarms, mapping biological cooperative mechanisms to cooperative unmanned cluster systems. The significance of coexisting-cooperative-cognitive human-machine systems is considered, and key technologies to be solved are identified as reference directions for future exploration.
NATIONAL SCIENCE REVIEW
(2023)
Article
Computer Science, Information Systems
Yuzhan Wu, Meng Li, Guannan Li, Yvon Savaria
Summary: The proposed controller in this article utilizes swarm intelligence to coordinate a group of robots forming a mobile sensor network, effectively covering an area of interest persistently. Inspired by the marking behavior of lions, the controller consists of a region divider and a path planner, enhancing the efficiency of region coverage.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Alexandre Campo, Stamatios C. Nicolis, Jean-Louis Deneubourg
Summary: Remembering information is crucial for adaptation and behavior adjustment in both living organisms and artificial systems. Pavlov's experiments demonstrate how single animals can trigger behavioral responses based on memory of stimuli associated with rewards. Researchers propose a novel behavior based on aggregation process to enable robotic swarm to exhibit collective memory.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Multidisciplinary
Daisuke Aragaki, Toi Nishimura, Ryuki Sato, Aiguo Ming
Summary: Underwater robots are gaining importance in various fields and fish robots are being considered as an alternative to existing screw-type robots. In this paper, a compact and high-performing robot was developed by mimicking the anatomical structure of fish. The robot's swimming performance was improved by replacing the red muscle structure with shape memory alloy wires and rigid body links, and by mimicking the muscle contractions of mackerel using a pulley mechanism.
Article
Robotics
Qi Wang, Xiaolong Lu, Ningyi Yuan, Peng Jiang, Junyi Yao, Yu Liu, Jianning Ding
Summary: This study successfully developed a small underwater robot (JR) with high-speed swimming ability, inspired by the jellyfish ephyra. It combines electromagnetic drive, flexible structures, and miniaturization, achieving small size and high-speed swimming. The design and control strategies of this research will provide a reference for future design and lay a solid foundation for the practical use of small underwater robots.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Engineering, Marine
Qian Jiao, Boshen Liu, Lifang Zheng, Fei Ma
Summary: In this study, an identification method based on the improved particle swarm optimization (IPSO) was established to identify the soil parameters for accurate traversability prediction of tracked mobile robots in the underwater environment. A dynamic model of the underwater tracked mobile robot was built to study the relationship between the track and the terrain. Experimental investigations on the characteristics of underwater soil were conducted, and the proposed model accurately identified the soil parameters with a maximum relative error of 3.8%, providing an effective method to predict the real-time tractive effort of the underwater tracked mobile robot.
Article
Chemistry, Multidisciplinary
Qingsong Xu, Zichen Xu
Summary: This study presents a reconfigurable microrobot swarm that is constructed by programming paramagnetic microparticles into carpets with cilia. The swarm is wirelessly controlled and can perform dexterous manipulation tasks with high output force and efficiency. Various biomedical tasks can be accomplished at the microscale by applying different types of magnetic fields.
Article
Chemistry, Analytical
Ruochen An, Shuxiang Guo, Yuanhua Yu, Chunying Li, Tendeng Awa
Summary: This paper presents a bio-inspired underwater robot system for target acquisition and identification. The system consists of a father underwater robot with strong dynamic balance and maneuverability and a son underwater robot that serves as a manipulator with multiple degrees of freedom and different movement modes. By incorporating a vision system, this system is able to acquire image information of target objects and identify them.
Article
Engineering, Marine
Marvin Wright, Qing Xiao, Saishuai Dai, Mark Post, Hong Yue, Bodhi Sarkar
Summary: This paper describes the design and construction of a magnetically coupled modular bio-inspired underwater robot called the Modular Magnetic Bio-Inspired Underwater Vehicle (MMBAUV). It uses a traveling wave to mimic efficient Body Caudal Fin (BCF) swimming and manoeuvring, while its modularity allows for flexible system setup and cost reduction. The novel feature of this design is the use of a permanent synchronous magnetic coupling between neighbouring modules with a rotational degree of freedom (DoF). Lab testing results demonstrate the design's functionality, thrust generation, and manoeuvrability.
Article
Engineering, Multidisciplinary
Jack Connor, Matthew Joordens, Benjamin Champion
Summary: This study proposes a novel flocking algorithm for robotic fish, called FIRA, which incorporates various fish behaviors and utilizes high-latency, non-guaranteed communication methods for simulation and study of biological fish. Experimental results show that FIRA outperforms other algorithms in collision avoidance and exploration.
BIOINSPIRATION & BIOMIMETICS
(2023)
Article
Computer Science, Artificial Intelligence
Tugay Alperen Karaguzel, Ali Emre Turgut, A. E. Eiben, Eliseo Ferrante
Summary: This paper investigates collective and emergent sensing with a flying robot swarm without gradient sensing capability. Two methods, desired distance modulation and speed modulation, are proposed and tested using different metrics and simulation methods. The results show that the proposed methods are effective in guiding a swarm to follow the gradient in a scalar field, and real nano-drone experiments further confirm their applicability in real-life scenarios.
SWARM INTELLIGENCE
(2023)
Article
Chemistry, Multidisciplinary
Yara Khaluf
Summary: This study examines the issue of measurement errors in robot swarms during the decision-making process and proposes three algorithms to address this problem.
APPLIED SCIENCES-BASEL
(2022)
Article
Biology
Daniel S. Calovi, Paul Bardunias, Nicole Carey, J. Scott Turner, Radhika Nagpal, Justin Werfel
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2019)
Article
Instruments & Instrumentation
M. Duduta, F. C. J. Berlinger, R. Nagpal, D. R. Clarke, R. J. Wood, F. Zeynep Temel
SMART MATERIALS AND STRUCTURES
(2019)
Article
Biology
Helen F. McCreery, Jenna Bilek, Radhika Nagpal, Michael D. Breed
JOURNAL OF EXPERIMENTAL BIOLOGY
(2019)
Article
Biology
Nicole E. Carey, Daniel S. Calovi, Paul Bardunias, J. Scott Turner, Radhika Nagpal, Justin Werfel
JOURNAL OF EXPERIMENTAL BIOLOGY
(2019)
Article
Biology
Paul M. Bardunias, Daniel S. Calovi, Nicole Carey, Rupert Soar, J. Scott Turner, Radhika Nagpal, Justin Werfel
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2020)
Article
Robotics
Mihai Duduta, Florian Berlinger, Radhika Nagpal, David R. Clarke, Robert J. Wood, F. Zeynep Temel
IEEE ROBOTICS AND AUTOMATION LETTERS
(2020)
Article
Engineering, Multidisciplinary
F. Berlinger, M. Saadat, H. Haj-Hariri, G. Lauder, R. Nagpal
Summary: Fish have remarkable agility and migrate long distances to avoid predators and feed. The Finbot robot is introduced in this study, featuring high degrees of autonomy, maneuverability, and biomimicry in a miniature size well-suited for controlled experiments on fish swimming. Finbot can be reconfigured with different caudal fins for swimming at different speeds while providing sensory feedback for precise underwater locomotion. Through experiments, Finbot narrows the gap between fish and fish-like robots, offering insights into aquatic locomotion and energy savings principles in fish schools.
BIOINSPIRATION & BIOMIMETICS
(2021)
Article
Engineering, Multidisciplinary
Mehdi Saadat, Florian Berlinger, Artan Sheshmani, Radhika Nagpal, George Lauder, Hossein Haj-Hariri
Summary: Fish save energy by swimming behind their neighbor in a school, gaining hydrodynamic benefits through two mechanisms to increase propulsion thrust, resulting in potential energy savings of up to 70%. This study provides insights into bioinspired designs for significantly more efficient propulsion systems.
BIOINSPIRATION & BIOMIMETICS
(2021)
Article
Multidisciplinary Sciences
Helen F. McCreery, Georgina Gemayel, Ana Isabel Pais, Simon Garnier, Radhika Nagpal
Summary: Biological systems must adjust to changing external conditions, and their resilience depends on their control mechanisms. Dynamic control in noisy, decentralized systems remains a key challenge. Army ants' self-assembled bridges built on unstable features demonstrate resilient collective structures emerging from individual decisions. The bridges' response to unstable ground reveals stabilizing hysteresis, an important feature of many biological and engineered systems.
NATURE COMMUNICATIONS
(2022)
Proceedings Paper
Automation & Control Systems
Florian Berlinger, Julia T. Ebert, Radhika Nagpal
Summary: The study explores the application of impressionist algorithms in controlling robot swarm behaviors. Through simulation experiments and theoretical analyses of flocking behaviors, it is demonstrated that even with minimal and imperfect information, reliable coordination can be achieved with simple neighborhood-awareness metrics.
2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2022)
Proceedings Paper
Automation & Control Systems
Julia T. Ebert, Florian Berlinger, Bahar Haghighat, Radhika Nagpal
Summary: This paper presents a two-stage hybrid algorithm to solve the target search problem in a group of robots. By using a variation of particle swarm optimization algorithm for target localization and moving to maximize target knowledge dissemination across the group. Experimental results show that the algorithm can effectively improve search efficiency in large spaces and is competitive compared to existing algorithms.
2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2022)
Proceedings Paper
Automation & Control Systems
Florian Berlinger, Paula Wulkop, Radhika Nagpal
Summary: Animal species and robotic systems both self-organize into large groups to carry out important behaviors, but while robotic technology has advanced in achieving multi-agent systems, successful demonstrations have mostly been above ground or with partial assistance from central controllers and external tracking.
2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021)
(2021)
Article
Robotics
Nicole E. Carey, Paul Bardunias, Radhika Nagpal, Justin Werfel
Summary: This study found that humidity may play a key role in the construction of termite mounds, and a robot experiment simulated this process and produced results supporting the operation of a humidity coordination mechanism in termites.
FRONTIERS IN ROBOTICS AND AI
(2021)
Proceedings Paper
Automation & Control Systems
Melinda Malley, Bahar Haghighat, Lucie Houe, Radhika Nagpal
2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
(2020)