Abstract

Jumping is a locomotion strategy widely evolved in both invertebrates and vertebrates. In addition to terrestrial animals, several aquatic animals are also able to jump in their specific environments. In this paper, the state of the art of jumping robots has been systematically analyzed, based on their biological model, including invertebrates (e.g., jumping spiders, locusts, fleas, crickets, cockroaches, froghoppers and leafhoppers), vertebrates (e.g., frogs, galagoes, kangaroos, humans, dogs), as well as aquatic animals (e.g., both invertebrates and vertebrates, such as crabs, water-striders, and dolphins). The strategies adopted by animals and robots to control the jump (e.g., take-off angle, take-off direction, take-off velocity and take-off stability), aerial righting, land buffering, and resetting are concluded and compared. Based on this, the developmental trends of bioinspired jumping robots are predicted.

Highlights

  • Animals’ locomotion is robust, complex, and adaptive

  • To make the structure of this review concise and simple, jumping animals have been classified into three subcategories: invertebrates, vertebrate, and aquatic jumping animals and the corresponding bioinspired jumping robots; In vertebrates, and animals jumping in aquatic environments, Section 3, the strategies adopted by jumping animals and robots in controlling take‐off angle, as direction, shown invelocity, Figures and

  • To make the structure of this review concise and simple, jumping animals have been classified into three subcategories: invertebrates, vertebrates, and animals jumping in aquatic environments, as shown in Figures 2–4, instead, show some examples of jumping animals and jumping robotic artifacts respectively

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Summary

Introduction

Animals’ locomotion is robust, complex, and adaptive. Based on the different environmental scenarios, locomotion can be classified into three categories: (i) terrestrial locomotion; (ii) natural flight;. (ii) Intermittent jumping, mainly adopted by small animals, such as locusts and frogs, that need to reaccumulate energy after landing This energy, in insects ranging from a mass of 1 mg (like fleas) to a mass of 2.5 g (like locusts) is accumulated in highly specialized energy storage components and suddenly released to perform powerful jumps [9]. Jumping robots are indicated for applications characterized by uneven, rough terrain [10], such as battlefield reconnaissance, archaeological exploration, antiterrorism operations, freight transportation, patient care, disaster relief [11] They can be employed in interstellar detection [12], since jumping owes greater advantage over other locomotion modes in low-gravity environments, such as Mars and the moon. Inspired by jumping animals’ performances, researchers developed jumping robots mimicking animals’ strategies to achieve controllable take-off, aerial righting, and landing buffering.

Jumping Animals and Biomimetic Miniature Jumping Robots
Figures and
Classification
Invertebrates
Jumping Spider Inspired Jumping Robots
Locust Inspired Jumping Robots
Flea Inspiring Jumping Robot
Cricket Inspired Jumping Robots
Cockroach Inspired Jumping Robots
Froghopper Inspired Jumping Robots
Leafhopper Inspired Jumping Robots
Vertebrates
Frog Inspired Jumping Robots
Kangaroo-Inspired Jumping Robots
Human-Inspired Jumping Robots
Dog-Inspired Jumping Robots
Specialized Jumping Performance
Water-Strider Inspired Jumping Robots
Dolphin-Inspired Jumping Robots
Crab Inspired Jumping Robots
Controllability of Take-Off in Jumping Animals and Robots
Take-off Angle
Take-off Direction
Take-off Velocity
Take-off Stability
Aerial Righting by Way of Aerodynamic Torque
Aerial Righting by Way of Inertia
Using Dragline Silk
Aerial Righting in Jumping Robots
Gliding Wings
Propellers
Landing Buffering and Resetting Mechanisms in Animals and Robots
Active Resetting Using Support Legs
Passive Resetting Assisted by Flexible Frame
Elastic Buffering Legs to Absorb Impact
Discussion
Modeling
Materials
Mechanical Structure
Actuation Mechanisms
Miniaturization
Control Algorithms
High Energy Density
Trajectory Optimization
Findings
Prospects of Jumping Robots
Conclusions
Full Text
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