Robot dog swimming in a a lake

ARD swimming test in a natural lake environment. (Credit: Bioinspiration & Biomimetics)

In a nutshell

  • The robot swims like a dog. Engineers developed a four-legged robot that mimics the paddling motion of real dogs, allowing it to transition seamlessly from walking on land to swimming in water using the same limbs.
  • Different gaits affect speed and stability. The robot performed fastest using a dog-like paddling gait called the lateral sequence paddling gait (LSPG), while a trot-like gait (TLPG) offered more stability in the water, highlighting a key trade-off in amphibious design.
  • Swimming is more energy-efficient than walking. Tests showed that swimming with the LSPG gait used nearly half as much energy as walking on land, demonstrating the robot’s potential for long-duration missions in mixed environments.

GUANGZHOU, China — Dogs are natural swimmers, instinctively knowing how to paddle when they hit the water. Now, engineers have created a robotic dog that can do the same, seamlessly transitioning from land to water without missing a beat.

A team of international researchers has developed a waterproof robotic dog that can trot on land and paddle in water, mimicking the swimming technique of real canines. The amphibious robotic dog (ARD) achieved a swimming speed of 0.16 meters per second (about 6 inches per second) and can move on land at more than twice that speed.

The research, published in the journal Bioinspiration & Biomimetics, builds on established designs and movement patterns from existing robotic dogs rather than starting from scratch.

How Dogs Inspired a Swimming Robot Design

Unlike previous amphibious robots that need special propellers, inflatable skins, or jet devices to move through water, this new robot uses the same four legs for both walking and swimming. It simply changes its gait pattern when transitioning between environments.

Robotic dog swimming
Robotic Dog Mimics Mammals for Superior Mobility on Land and in Water. (Credit: J Qu et al)

Engineers closely studied how dogs swim, analyzing the back-and-forth motion of their legs and how they extend their limbs during what’s called the “power phase” of paddling to generate thrust. They then programmed these movements into their robot.

Many mammals can swim at relatively high speeds when necessary for survival activities like hunting, migration, or escaping danger, particularly over shorter distances.

The team tested three different swimming patterns: two versions of what’s called a “lateral sequence paddling gait” (LSPG), where the legs move in a specific sequence like a dog’s natural swim, and a “trot-like paddling gait” (TLPG), where diagonal pairs of legs move together.

The Trade-Off Between Speed and Stability

The LSPG provided faster swimming speeds but less stability, while the TLPG offered greater stability in the water with slower speeds. This presents an important design consideration for future amphibious robots depending on their intended use.

Robotic dog walking
ARD land gait test on an asphalt road terrain. (Credit: Bioinspiration & Biomimetics)

The team found that creating effective amphibious robots requires finding the right balance between speed and stability, depending on the tasks the robot needs to perform. LSPG is preferable for speed-critical missions, while TLPG is better suited for operations requiring stability.

The robot’s design carefully considered the relationship between the center of gravity and center of buoyancy. Like a dog, the robot needed its lungs (or in this case, lighter components) positioned to keep it properly oriented in water. The team deliberately placed the battery and main control board near the bottom of the shell to lower the center of gravity and improve stability.

The researchers put their robot through rigorous testing with swimming tests in both controlled laboratory pools and natural lake environments. They even tested how well it could handle moving water by having it swim against currents of different strengths.

The amphibious robotic dog reached a maximum water speed of 0.16 meters per second (0.54 body lengths per second) and a land speed of 0.35 meters per second (1.16 body lengths per second). While not as fast as some specialized robots designed specifically for either land or water, it demonstrates impressive versatility across both environments.

Golden retriever swimming
The design was inspired by how dogs swim. (Denis Moskvinov/Shutterstock)

The team also measured how much power the robot consumed in different modes and calculated the “cost of transport,” essentially how much energy is required to move a certain distance. Swimming with the LSPG consumed much less power than walking with a trot gait (23.26 watts versus 40.70 watts) and provided 46% better energy efficiency than the TLPG swimming mode.

Researchers were impressed with the robot’s ability to transition between environments. In one test, the team had the robot walk down a sloped surface into water, automatically switching from walking to swimming as it became submerged.

Future improvements could include adding more sensing capabilities and refining the control algorithms to handle more complex terrains. The researchers also mentioned the potential for exploring “underactuated multi-joint leg structures” that could further improve swimming efficiency.

Robots could one day seamlessly navigate across diverse environments without specialized equipment for each terrain type, just like many animals do. Advancements like these would help to make robots more useful for real-world applications like search and rescue operations.

Paper Summary

Methodology

The researchers developed a four-legged robot called the Amphibious Robotic Dog (ARD) with 8 degrees of freedom (two per leg) and legs composed of two segments each—thigh and shank. They carefully waterproofed the robot’s body shell using a sandwich structure with silicone rubber fillers between upper and lower shells. The team designed three different paddling gaits by studying dog swimming patterns: two lateral sequence paddling gaits (LSPG) with 25% and 33% power phase proportions, and one trot-like paddling gait (TLPG) with a 50% power phase proportion. They created mathematical models to analyze the hydrodynamic forces during paddling and conducted extensive tests measuring thrust, drag, lift, and stability in still water, flowing water, and natural environments. The robot’s swimming performance was measured using force sensors, motion tracking, and gyroscopes to record changes in pitch, roll, and yaw angles.

Results

The ARD achieved a maximum swimming speed of 0.16 meters per second (0.54 body lengths per second) and a land speed of 0.35 meters per second (1.16 body lengths per second). The researchers found that the LSPG with 33% power phase generated the highest swimming speed, while the TLPG provided superior stability but slower speed. The ARD demonstrated successful transitions between land and water environments by walking down a 10-degree slope into water and automatically switching from trotting to paddling. Energy consumption tests showed that LSPG required 23.26 watts of power compared to 40.70 watts for the trot gait on land, making swimming more energy-efficient than walking for this robot. The robot could operate for 42 minutes on a single charge while swimming with LSPG, compared to only 24 minutes while walking with the trot gait.

Limitations

The robot’s two-joint simplified leg structure limited the range of motion compared to a real dog’s four-joint leg structure. The ARD had limitations when navigating complex terrains due to the lack of abduction-adduction freedom in the legs (side-to-side movement) and the use of an open-loop control algorithm without real-time feedback. All tests were conducted in controlled freshwater environments, so performance in different water conditions (density, viscosity, particles) remains unexplored. The robot currently lacks advanced sensing capabilities for environmental adaptation. The study also noted measurement errors during force testing due to flow field interference between the robot’s legs, inertial effects, and vibrations.

Funding and Disclosures

The research was funded in part by the National Natural Science Foundation of China (No. 52405019), Guangzhou basic and applied basic research Project (No. 2023A04J1583), GJYC program of Guangzhou (No. 2024D01J0077), and Guang Dong Basic and Applied Basic Research Foundation (No. 2022A1515110067).

Publication Information

The study “Amphibious robotic dog: design, paddling gait planning, and experimental characterization” was published in the journal Bioinspiration & Biomimetics (Volume 20, 2025, article number 036012). The authors are Jingting Qu, Qingqian Cai, Frank E Fish, Yunquan Li, Ye Chen, Yong Zhong, Jiutian Xia, Shiling Fu, Wenhao Xie, Haohua Luo, Sengyuan Lin, and Yonghua Chen from various institutions including South China University of Technology, West Chester University, and The University of Hong Kong.

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