Proactivity of fish and leadership of self-propelled robotic fish during interaction.

Ziye Zhou, Jincun Liu, Jie Pan, Junzhi Yu
Author Information
  1. Ziye Zhou: State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, People's Republic of China.
  2. Jincun Liu: College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, People's Republic of China.
  3. Jie Pan: State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, People's Republic of China.
  4. Junzhi Yu: State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, People's Republic of China. ORCID

Abstract

Fish interacting with biomimetic robotic fish is beneficial for animal behavior research, particularly in the study of collective behavior. Compared with passive-dragging robotic fish, self-propelled robotic fish floats in water, and its movement matches the flow field formed by the caudal fin oscillation, leading to more realistic interaction with animals. In this paper, we propose a self-propelled koi-mimicking robotic fish entity, develop a system for robotic fish and koi fish interaction, and conduct extensive experiments on quantity variation and parameter variation. The results showed that fish exhibited significantly lower proactivity when alone, and the most proactive case is one robotic fish interacting with two real fish. The experiments on parameter variation indicated that fish may respond more proactivity to robotic fish that swim with high frequency and low amplitude, but may also move together with high-frequency and high-amplitude swimming robotic fish. These findings could provide insights into fish collective behavior, guide the design of further fish-robot interaction experiments, and suggest directions for future improvements in goal-oriented robotic fish platforms.

Keywords

MeSH Term

Animals
Leadership
Robotics
Robotic Surgical Procedures
Computer Simulation
Equipment Design
Fishes
Swimming
Biomimetics

Word Cloud

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