Development and Applications of Bionic Robots
Kangkai Zhang
a
The School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
Keywords: Bionic Robot, Bionic Hummingbird Robot, Bionic Dog, Bionic Fish, Applications.
Abstract: In recent years, significant progress has been made in the field of bionic robotics. This paper discusses the
development of three major types of bionic robots, namely, bionic hummingbird robots, bionic dogs and
bionic fish, and their applications in production and life. A comprehensive overview of the current status and
future prospects of these robots is presented through an in-depth analysis of their research teams and
achievements, technical key points, problems solved, and practical applications. The bionic hummingbird
robot achieves efficient flight by simulating the wing beat pattern of real hummingbirds; the bionic dog excels
in industrial inspection and disaster rescue; and the bionic fish achieves efficient swimming by simulating the
propulsion mechanism of fish. These robots have a wide range of applications in agriculture, industry,
environmental monitoring, ocean exploration and other fields, providing innovative solutions to practical
problems. With technological progress and multidisciplinary integration, bionic robots will play a greater role
in the future.
1 INTRODUCTION
With the continuous progress of science and
technology, robotics technology is also developing
rapidly, among which bionic robots have attracted
much attention due to their unique design concepts
and wide application prospects. After millions of
years of natural selection and evolutionary
adaptation, organisms in nature have developed
highly optimized locomotion mechanisms and
morphological and structural features, which provide
a rich bionic research basis for the innovative
development of robotics, and these organisms'
locomotion patterns and physiological structures
have become important imitation objects for
researchers to develop bionic robots.
At present, research in the field of bionic robotics
has achieved certain results, and various types of
bionic robots have been introduced one after another,
and they have shown unique advantages and potential
in different application scenarios. However, despite
the progress made, there are still many key technical
problems to be solved, and its application scope and
performance need to be further expanded and
improved, especially in the adaptability of complex
environments, the level of intelligence, and the
a
https://orcid.org/0009-0000-1076-1346
integration of multi-disciplinary applications and
other aspects of the many gaps, which need to be
continuously explored and researched in depth by
researchers.
This study focuses on bionic hummingbird robots,
bionic dogs and bionic fish, three representative and
biomimetic bionic robots with significant features in
biomimicry. In-depth investigation of their R&D
teams and achievements, and analysis of the key
technologies involved behind them, such as bionic
structure design, material selection, drive and control
mechanisms, etc., which are the core support for
realizing bionic robots to move efficiently and work
accurately. At the same time, the problems solved by
these robots in different application scenarios is
analyzed in detail, including stability, mobility, and
diversity of tasks in complex environments, etc.,
describe the important roles they play and the
practical value they bring in many fields such as
agricultural production, industrial inspection, disaster
rescue, environmental monitoring, ocean exploration,
etc., and explore their contributions to improving
production efficiency, safeguarding human safety,
and promoting. The article will discuss their
contribution to improving production efficiency,
Zhang, K.
Development and Applications of Bionic Robots.
DOI: 10.5220/0014321800004718
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence (EMITI 2025), pages 109-115
ISBN: 978-989-758-792-4
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
109
safeguarding human safety and promoting scientific
research.
The goal of this study is to comprehensively and
systematically sort out the development lineage of
bionic hummingbird robots, bionic dogs and bionic
fish, to deeply explore their technical advantages and
application potentials, to reveal the deficiencies in the
current research, and to provide a clear guideline for
future research directions. Through in-depth research
and analysis of these three types of bionic robots, not
only can human understanding and knowledge of
bionic robotics been deepened, technological
innovation and breakthroughs have been promoted in
this field but also help to expand its application in
more fields. Through the in-depth integration of
bionic robotics technology with actual production and
life, more efficient, smarter and more flexible
solutions to solve practical problems can be provided,
thus promoting the overall development of robotics
technology to a new level and making greater
contributions to the progress of human society.
2 BIONIC HUMMINGBIRD
ROBOT
2.1 Research Team and Achievements
A research team from Nanjing University has
developed a micro drone that can simulate the flight
of a hummingbird. The robot imitates the
hummingbird's efficient wing-flapping action and
flexible steering ability, using lightweight materials
to make the wings and built-in motor drive to achieve
hovering in the air, forward and backward flight and
rapid steering and other actions. The team analyzed
the effects of hummingbird wing geometry and
flapping frequency on flight performance, optimized
the wing design parameters with the help of
computational fluid dynamics simulations, and
introduced flexible materials to enhance the stability
and manoeuvrability of the robot in complex airflow
environments (Jia, Guo and Cao, 2025).
The Hummingbird Robot, designed by a team
from the Swiss Federal Institute of Technology in
Lausanne, has made a breakthrough in flight
manoeuvrability. The team explored the complex
deformation mechanism of hummingbird wings
during high-speed flight and rapid steering, and used
flexible materials and smart alloys to make wings that
deform like real hummingbird wings during flapping,
thus excelling in generating lift and thrust, and
achieving difficult manoeuvres such as emergency
stops, rapid steering and aerial circling. At the same
time, the team develops bio-inspired control
algorithms that enable the robot to adjust its flight
attitude in real time according to environmental
changes, demonstrating excellent autonomous flight
capabilities (Karl.et al,2012).
The Robohummingbird bionic hummingbird
robot developed by a joint research team from the
University of Reading and the University of Glasgow,
UK, excels in the precise control of its flight attitude.
The researchers analyzed the kinematics and
dynamics of the hummingbird's wings during flight,
especially the torsion and deformation mechanisms
during the up and down flapping of the wings. Using
advanced motion capture systems and sensors to
monitor the flight attitude in real time, the team
combined with intelligent algorithms to precisely
control the frequency, amplitude and torsion angle of
the wing beats, so that the robot can fly stably in
complex airflow environments. The team also studied
the role of the hummingbird's tail and introduced a
similar structure into the robot design to improve
flight stability and manoeuvrability (Coleman.et al,
2015)
2.2 Technical Key Points
Hummingbird flight capability relies on its unique
musculoskeletal system. Researchers have found that
hummingbird pectoralis major and supraorbital
muscles are responsible for the downward and
upward wing beats, respectively, in flight. The bionic
hummingbird robot uses a combination of high-
efficiency motors and transmission mechanisms to
simulate muscle contraction and relaxation, and
precisely controls the motor speed and torque to
achieve precise wing flapping. Drawing on the
lightweight and high-strength characteristics of the
hummingbird skeleton, carbon fibre and other
composite materials are used to make the robot's
skeleton to reduce weight and improve structural
strength.
The complex vortex structure generated by
hummingbird wing beats is the key to its efficient
flight. Using a combination of computational fluid
dynamics simulations and wind tunnel experiments,
the researchers investigated the characteristics of the
flow field around the hummingbird's wings,
especially the leading edge vortex formation and
evolution mechanism. Based on this, the shape of the
robot's wings and flapping trajectory are optimized,
and the wing curvature, torsion angle and flapping
frequency are adjusted to generate stronger lift and
thrust in flight and reduce energy consumption.
EMITI 2025 - International Conference on Engineering Management, Information Technology and Intelligence
110
Meanwhile, the mimicry of hummingbird wing
surface microstructure is explored to further improve
the aerodynamic performance.
Hummingbird wings and tails are critical to their
flight stability and manoeuvrability. Researchers
have analyzed in detail the morphology and
movement of hummingbird wings and tails and their
impact on flight. The tail of the bionic hummingbird
robot is designed as an adjustable structure, so that
precise attitude control and flight trajectory
adjustment can be achieved by changing the angle
and shape of the tail during flight. For example, the
tail can be deployed or retracted to change the flight
direction, adjust the flight altitude, or maintain the
hovering state, which makes the robot more flexible
in complex environments.
2.3 Problems Solved
Stable flight in a complex airflow environment is a
major challenge for micro UAVs. The bionic
hummingbird robot adopts multi-sensor fusion
technology, combining gyroscopes, accelerometers
and barometers, to monitor its own attitude and speed
changes in real time. Based on these data, the
feedback control algorithm quickly adjusts the
frequency, amplitude and twisting angle of the wing
beats to counteract the interference of external
airflow. The adjustable tail design, which mimics the
tail of a hummingbird, also provides important
support for flight stability, enabling the robot to
maintain a stable flight attitude when the wind is
strong.
The hummingbird's manoeuvrability provides an
excellent mimic for bionic robots. By precisely
controlling the movements of its wings and tail, the
bionic hummingbird robot achieves complex
manoeuvres such as rapid steering, emergency stops
and hovering in the air. The researchers developed a
high-performance motor drive system and advanced
control algorithms to respond quickly to changes in
flight attitude. The flexible deformation
characteristics of the hummingbird's wings are
mimicked to generate more thrust and lift for rapid
manoeuvring in flight. The fine control of the tail also
further enhances the robot's manoeuvrability,
enabling it to travel flexibly in tight spaces.
2.4 Application of Production and Life
In agricultural production, the bionic hummingbird
robot can enter greenhouses and orchards in low-
altitude areas to monitor crop growth, pest control and
pollination assistance. Its flexible flight capability
allows it to travel between crop plants, capture high-
definition images and collect environmental data to
help farmers understand crop growth. In terms of pest
control, it can accurately deliver pesticides, reducing
the use of chemicals and environmental pollution. By
simulating the pollination behaviour of
hummingbirds, it can also pollinate crops, improving
pollination efficiency and crop yields, and making up
for the lack of pollination caused by the reduction in
the number of bees.
In industrial environments, bionic hummingbird
robots can be used for complex facility inspections,
such as high-rise shelf inventory, pipeline leakage
detection, and power equipment inspections. With its
small and flexible body, the robot can enter areas that
are difficult for traditional inspection equipment to
reach, such as narrow pipelines and the tops of tall
shelves. Equipped with high-definition cameras and
sensors, the robot can transmit images and data in real
time to help staff find equipment failures and safety
hazards in a timely manner, reduce the risk and cost
of manual inspection, and improve the safety and
efficiency of industrial production.
The bionic hummingbird robot has unique advantages
in the field of environmental monitoring and can be
used for environmental monitoring work in
ecological reserves, urban and industrial areas to
collect data on air quality, water pollution and noise
levels. Its stealthy and low-noise characteristics allow
it to observe the behaviour of wildlife at close range
for long periods of time and collect biodiversity data
without disturbing them. In air pollution monitoring,
it can quickly reach the vicinity of the pollution
source and monitor the distribution of pollutant
concentration in real time, providing a scientific basis
for environmental management. In the event of
natural disasters, such as earthquakes and floods, it
can quickly enter the affected area, assess the degree
of environmental hazards, and provide key
information to support rescue efforts.
3 BIONIC DOG
3.1 Research Team and Achievements
The Spot robot dog developed by Boston Dynamics
integrates multi-modal sensors to achieve accurate
perception and understanding of the environment. At
the same time, Spot perceives the environment based
on meta-learning, and can update its environmental
perception in time to improve its understanding of the
real environment, and then realize a more flexible and
agile movement with high speed, agility and
Development and Applications of Bionic Robots
111
endurance. For example, Yushu Technology's Go1
robot dog can run at a speed of up to 4.7m/s and can
cover a large area in a short time(Raibert.et al,2008).
The Jue Ying series of quadruped robots
developed by Hangzhou DeepCloud Technology Co.,
Ltd. have performed well in the fields of electric
power inspection and emergency rescue. For
example, the Jue Ying X20 has a speed of 4.95
m/s, a payload capacity of 20 kg, and can cross 20 cm
obstacles, 1 m gullies, and move stably in complex
terrain such as 45-degree slopes and ruins. Its IP66
protection level supports operations in extreme
environments such as rainstorms and snow, and it is
equipped with a dual-light head, robotic arm and
other modules to achieve fully autonomous
navigation and dynamic obstacle avoidance(Semini.
et al,2011) (Bellicoso. et al, 2018).
3.2 Technical Key Points
The design of the limbs and body structure of the
bionic dog is crucial. For example, Boston Dynamics'
Spot adopts lightweight, high-strength and flexible
materials to build its limbs and body structure, so that
it can move flexibly like a real dog, and at the same
time, it has strong stability and support ability. The
design of the joints is based on the physiological
structure of the dog to achieve a wide range of motion
and flexible steering.
In order to make the bionic dog walk, run and jump
stably in different terrains and environments, the
researchers develop advanced gait planning and
control algorithms. Take the Hangzhou Cloud Deep's
Jade Shadow series of robotic dogs as an example, it
adopts advanced control algorithms, adjusts its gait in
real time according to the terrain and task
requirements, and realizes stable walking and fast
running under complex terrain.
3.3 Problems Solved
Traditional wheeled or tracked robots in rugged
mountain roads, ruins, swamps and other complex
terrain action is limited, while the bionic dog with
flexible limb movement and good balance ability, can
freely shuttle in these terrains. For example, Yushu
Technology's B1 industrial robotic dog, with its self-
developed motion control algorithms, has superb
obstacle-crossing capabilities, can easily climb stairs
and traverse rugged terrain, and can adapt to ruins,
railway tracks and other complex terrain.
Compared with single-function robots, bionic dogs
can be integrated with multi-tasking equipment to
complete a variety of complex tasks such as rescue,
inspection, security and other tasks. For example,
DeepCloud's Jue Ying X30 is designed for
power inspection and factory corridors, and can
autonomously complete tasks such as substation
equipment inspection and abnormality warning; it can
also carry life detectors, gas sensors and other
modules in emergency rescue, and carry out
reconnaissance and material transport tasks in
dangerous areas.
3.4 Application in Production Life
In the industrial environment, bionic dogs can be used
for equipment inspection, logistics handling and other
work. For example, the Jue Ying X20 in the
depths of the clouds is outstanding in electric power
inspection, and can replace manpower to complete
autonomous inspection in complex environments
such as substations, underground cable tunnels, etc. It
collects data in real time through high-precision
sensors to reduce safety hazards and operation and
maintenance costs.
After the disaster, the bionic dog can quickly enter the
ruins, collapsed buildings and other dangerous sites,
looking for survivors, delivering rescue supplies. For
example, Boston Dynamics' Spot robot dog has been
used in earthquake rescue simulation exercises, which
can traverse narrow gaps and complex ruins to find
trapped people and provide material support.
4 BIONIC FISH
4.1 Research Status
The Yinbo research team of the Institute of
Mechanics of the Chinese Academy of Sciences has
conducted an in-depth study on the propulsion
mechanism and energy efficiency improvement of
intelligent robotic fish, and has established a three-
dimensional autonomous swimming model by
observing the swimming of tuna, analyzing the force
and the process of formation and shedding of tail
vortexes, and providing theoretical foundations for
the development of an intelligent robotic fish that
swims fast and has low energy consumption. The
robot fish imitating manta rays and lionfish developed
by Zhejiang University and other units adopts
intelligent drive of dielectric elastic material, and
realizes the drive experiment in the Mariana Trench
at 10,000 meters(Li.et al,2021)
An innovative wire-driven elastic bionic fish (WE-
RoFi) has been proposed by a research team
EMITI 2025 - International Conference on Engineering Management, Information Technology and Intelligence
112
consisting of Xiaocun Liao, Chao Zhou and others.
The design is inspired by natural fish muscle and
spine structure, and adopts multi-wire drive to
simulate fish muscle, combined with fish spine design
based on elastic elements, to achieve continuous tail
swing and C- and S-shaped swing modes, solving the
problems of traditional multi-jointed bionic fish, such
as unbalanced loads and uneven servomotor output
power, and verifying its propulsive performance
through the Lagrange Dynamic Model, with the
maximal swimming speed reaching 0.58 m/s (04
times the length of the fish body) in experiments. 0.58
m/s (1.04 times the length of the fish/sec)(Zhou.et
al,2022).
MIT researchers in the US have used SoFi, a soft
robot fish, to spy on fish living in Fiji's coral reefs,
minimizing the environmental disruption of human
behaviour(Katzschmann.et al,2018). University of
Florida researchers install artificial tendons in bionic
tuna and make them adjust tail stiffness based on
speed, halving energy consumption on average(Liu.et
al,2021).
4.2 Technical Key Points
Mimicking the way fish swim is the key to achieving
efficient swimming for bionic fish. Researchers have
developed various drive technologies to mimic this
propulsion mode, such as bionic muscle drive and
electromagnetic drive, by studying fish muscle
movement and hydrodynamic principles. For
example, the bionic robotic fish integrates tail and
pectoral fin structures, and the propulsion efficiency
of the robotic fish is derived through calculations, and
a comparative analysis of the hydrodynamic and
swimming performance of different fin structures is
conducted using computational fluid dynamics
methods to optimize the swimming performance of
the robotic fish.
The use of new materials, such as flexible materials,
is an important trend in the development of bionic
fish. These materials have good elasticity, flexibility
and biocompatibility, which can make the bionic fish
closer to the movement characteristics and
adaptability of real fish, and at the same time reduce
the interference to the environment. For example,
SoFi is made of flexible materials and can swim
freely in coral reefs without causing damage to fragile
corals (Keennon, Klingebiel and Won, 2012).
In order to enable bionic fish to autonomously swim,
avoid obstacles and perform tasks in an underwater
environment, advanced sensing and control systems
need to be developed. By integrating various sensors,
such as pressure sensors, acceleration sensors, and
vision sensors, the bionic fish can perceive
information about its own motion state and the
surrounding environment. Then, intelligent control
algorithms, such as central pattern generator (CPG)-
based control methods and fuzzy neural network
control, are used to process and analyze the
information fed back from the sensors, so as to
achieve effective control of the bionic fish's
movement. For example, the bionic robot fish
obstacle avoidance control technique based on
augmented learning can improve the autonomy and
flexibility of the bionic fish in complex underwater
environments.
WE-RoFi uses two pairs of thin wires to transmit the
servo motor torque to a specific position on the tail to
realize fish-like oscillations. This multi-wire coupled
drive not only allows the tail to oscillate continuously,
but also realizes complex oscillation patterns,
increasing bionicity and flexibility of movement,
which is a significant advantage over traditional
single-wire drives.
4.3 Problems Solved
Traditional underwater robots mostly use propellers
for propulsion, which has problems such as low
efficiency and high noise. By simulating the efficient
swimming mechanism of fish, the bionic fish has
significantly improved its propulsion efficiency,
which can realize faster swimming speed with lower
energy consumption, extend the underwater working
time and expand the operation range.
Fish are extremely maneuverable in the water, and the
bionic fish inherits this advantage to achieve flexible
and maneuverable movements in complex
underwater environments, such as weaving through
narrow gaps and quickly avoiding obstacles, to better
adapt to the needs of various underwater tasks.
The bionic fish with flexible materials and bionic
propulsion method produces less noise during
underwater movement, and the disturbance to the
water current is relatively small, which will not affect
the normal life and behavior of underwater organisms
too much, and is conducive to obtaining more
accurate and natural data in application scenarios
such as underwater biological observation and
ecological monitoring.
4.4 Application in Production and Life
Bionic fish can swim freely in complex environments
such as deep oceans, narrow coral reef areas, or
dangerous shipwreck sites to perform tasks such as
marine environmental data collection, undersea
Development and Applications of Bionic Robots
113
topographic mapping, and marine life monitoring,
providing richer and more accurate data support for
marine scientific research. For example, it monitors
changes in environmental parameters such as
temperature, salinity, acidity and alkalinity, and
pollutant concentration in the ocean, as well as
observing the types, numbers, distribution and
behavioral patterns of marine organisms.
In the field of underwater archaeology, the bionic fish
can penetrate into some archaeological sites that are
difficult to reach by humans or dangerous for human
divers, and carry out detailed exploration and
research on shipwrecks and ancient harbors, etc., so
as to obtain precious historical relics and
archaeological information. In underwater rescue
operations, bionic fish can rely on flexible mobility
and small size to quickly arrive at the scene of an
accident, search for missing persons or detect
dangerous environments, buying time and providing
effective support for rescue work.
Bionic fish can be used to monitor water quality
conditions, fish health and growth in aquaculture
environments, helping farmers to adjust farming
parameters in a timely manner and improve farming
efficiency. At the same time, bionic fish can be used
to monitor and guide wild fish populations to achieve
sustainable management of fishery resources. For
example, specific signals or actions emitted by bionic
fish can be used to induce the direction of fish
swimming and prevent fish from being overly dense
or entering dangerous areas.
In the field of education, bionic fish can be used as an
intuitive and vivid teaching tool to show students the
principle of fish swimming, ecological habits and
other knowledge, and stimulate students' interest in
marine science and engineering technology. In the
field of entertainment, bionic fish can be used in
aquarium exhibitions, underwater photography and
other activities to bring visitors a new visual
experience and enhance people's understanding of
marine life and awareness of protection.
5 FUTURE DEVELOPMENTS
5.1 Performance Enhancement
In the future, the performance of bionic robots is
expected to make further breakthroughs. Taking the
bionic hummingbird robot as an example, researchers
will continue to optimize the design of its wings and
tail, and use new smart materials and advanced
manufacturing processes to improve the strength,
flexibility and durability of the wings. For example,
the use of carbon fiber composite materials to make
the robot skeleton and wings, its high strength and
low density characteristics can significantly reduce
the weight of the robot, reduce the lift required for
flight, reduce the power requirements of the drive
motor, optimize energy consumption. At the same
time, the overall structure of the robot is optimized
and designed to remove unnecessary parts and
simplify mechanical connections to further reduce
weight. In addition, efficient gear transmission or
linkage transmission systems are designed to reduce
energy transfer losses and improve energy utilization
efficiency. Introduce advanced transmission
technologies such as harmonic transmission to more
accurately control the frequency and amplitude of
wing beats and reduce energy loss.
5.2 Intelligent Development
Bionic robots will be deeply integrated with artificial
intelligence and machine learning technology to
develop in the direction of intelligence. Researchers
use deep learning algorithms to train robots to learn
flight strategies and environmental characteristics
autonomously. For example, through reinforcement
learning methods, the robot optimizes its flight path
planning and target recognition ability through
continuous trial and error in a simulated environment.
Based on computer vision and pattern recognition
technology, the robot realizes more accurate object
detection, tracking and obstacle avoidance functions,
demonstrates higher autonomy and adaptability, and
reduces its dependence on human intervention.
5.3 Multidisciplinary Integration
Bionic robots will be deeply integrated with biology,
medicine, materials and other multidisciplinary fields
to expand the scope of application. In the field of
biomedicine, researchers develop miniature medical
robots for in vivo surgery, drug delivery and
biological tissue repair. Mimicking the precise flight
ability of hummingbirds, the medical robots travel
through narrow spaces in the human body, such as
blood vessels, to realize precise drug release and
lesion treatment. In the field of materials science, the
development of new bionic materials provides better
performance characteristics for robots, such as self-
repairing ability and shape memory function. This
kind of interdisciplinary integration and innovation
promotes the continuous progress of bionic robotics
and provides the possibility of solving more practical
problems.
EMITI 2025 - International Conference on Engineering Management, Information Technology and Intelligence
114
6 CONCLUSIONS
In this paper, bionic hummingbird robots, bionic dogs
and bionic fish have been thoroughly studied and
their research results and key technologies have been
summarized. By simulating the flight mechanism of
hummingbird, the bionic hummingbird robot has
made significant progress in flight stability, energy
consumption optimization and maneuverability, and
has been successfully applied in the fields of
agricultural monitoring, industrial inspection and
environmental monitoring. The bionic dog, with its
efficient locomotion ability and multi-functional
integration, excels in complex terrain adaptability and
task diversity, and is widely used in industrial
production, disaster rescue and other fields. The
Bionic Fish improves energy efficiency and
maneuverability and reduces interference with the
environment by imitating the swimming mechanism
of fish, and is suitable for scenarios such as ocean
exploration, underwater archaeology and
aquaculture.
These bionic robots play an important role in their
respective fields of application and provide
innovative solutions to practical problems. They not
only improve work efficiency, but also enhance the
ability of humans to operate in complex and
hazardous environments, bringing much convenience
and value to production, life and scientific research.
In the future, the field of bionic robotics still has great
potential for development. With the continuous
progress of technology, bionic robots are expected to
make greater breakthroughs in performance, such as
higher flight speed, stronger load capacity and longer
endurance. The improvement of intelligence level
will enable bionic robots to have stronger
autonomous learning and environmental adaptation
capabilities, and be able to accomplish tasks more
flexibly in complex and changing environments. At
the same time, the integration of multiple disciplines
will further expand the application scope of bionic
robots and promote their innovative applications in
more fields such as biomedicine and materials
science. This will bring more possibilities and
opportunities for the development of human society.
REFERENCES
Bellicoso, C. D., et al. (2018). Dynamic Locomotion Thro
ugh Online Nonlinear Motion Optimization for Quadru
pedal Robots. IEEE Robotics and Automation Letters,
3(3), 2261-2268.
Coleman, D., Benedict, M., Hrishikeshavan, V., & Chopra,
I. (2015). Design, Development and Flight-Testing of
a Robotic Hummingbird. Annual Forum Proceedings -
AHS International, 1.
Jia, F., Guo, G., Cao, Y., et al. (2019). A bionic hummingb
ird flyer (CN201910506376.2). Chinese Patent CN110
329505A.
Katzschmann, R. K., DelPreto, J., MacCurdy, R., & Rus,
D. (2018). Exploration of Underwater Life With an Ac
oustically Controlled Soft Robotic Fish. Science Robot
ics, 3(15), eaar3445.
Keennon, M., Klingebiel, K., & Won, H. (2012). Develop
ment of the Nano Hummingbird: A Tailless Flapping
Wing Micro Air Vehicle. AIAA Conference Proceedin
gs. https://doi.org/10.2514/6.2012-588
Li, G., Chen, X., Zhou, F., et al. (2021). Self-powered soft
robot in the Mariana Trench. Nature, 591(7848), 66-71.
Liao, X., Zhou, C., Zou, Q., Wang, J., & Lu, B. (2022). Dy
namic Modeling and Performance Analysis for a Wire-
Driven Elastic Robotic Fish. IEEE Robotics and Auto
mation Letters, 7(4), 11174-11181.
Liu, J., Zhou, L., Zhang, Z., et al. (2021). Design and Anal
ysis of a Novel Tendon-Driven Continuum Robotic Fis
h. Bioinspiration & Biomimetics, 16(6), 065002.
Raibert, M., Blankespoor, K., Nelson, G., & Playter, R. (2
008). BigDog, the rough-terrain quadruped robot. Proc
eedings of the 17th World Congress of the Internationa
l Federation of Automatic Control (IFAC), 41(2), 1082
2-10825.
Semini, C., et al. (2011). Design of the Hydraulic Quadrup
ed Robot HyQ2Max. IEEE/ASME Transactions on Me
chatronics, 20(5), 2587-2598.
Development and Applications of Bionic Robots
115