Daily Technology
·04/06/2026
A groundbreaking robotic fish, inspired by the unique "undulating tripod gait" of walking catfish and other amphibious species, is offering unprecedented insights into how ancient animals first transitioned from water to land. Researchers have developed a robot that replicates this primitive yet effective movement, potentially unlocking secrets of early terrestrial life.
A new robot reproduces the distinctive movement used by fish that can travel across land.
The gait relies on the tail for thrust while the front fins or head brace the body against the ground.
The results may help explain how ancient fish began moving onto land hundreds of millions of years ago.
Researchers confirmed the gait's efficiency through both simulation and robotic testing.
Scientists have long been fascinated by fish that can survive and move on land, such as the walking catfish (Clarias batrachus) and bichirs. These creatures possess the remarkable ability to breathe air for extended periods and navigate terrestrial environments using a distinctive wiggling motion. This new study focused on understanding the mechanics behind this "undulating tripod gait," where fish use their tails to propel themselves forward while their front fins or heads provide support.
The fish swings or undulates its tail to push the body forward.
The front fins or head contact the ground and act as a support point.
By combining thrust and support, the fish can keep advancing across land instead of simply flopping in place.
The research team initially created a computer model based on the grey bichir (Polypterus senegalus), observing that its locomotion method was remarkably similar to other walking fish. This recurring, primitive movement across diverse fish species suggested a fundamental evolutionary advantage. "It's such a simple movement and can recur from a very basic starting point," explained Michael Ishida, a co-author of the study.
Building upon their computer simulations, the researchers constructed a physical robot designed to replicate the walking fish's movements. They discovered that the most efficient strategy the robot could adopt closely mirrored the bichir's "flop-walk." This finding was particularly surprising, as any deviation from this pattern resulted in slower and less effective locomotion. The optimal walking pattern observed in both the simulations and the robot precisely matched the actual movements of real fish.
Best = bichir-like flop-walk
In both the simulations and the physical robot, the most efficient movement matched the gait used by real walking fish.
The success of this approach, combining computational modeling with robotic replication, holds significant promise for understanding how ancient fish, such as the 375-million-year-old Tiktaalik, made the monumental leap from sea to land. This research could provide crucial answers to a major question about the evolution of life on Earth: how our earliest vertebrate ancestors began their journey onto land.
| Research element | What it shows | Why it matters |
|---|---|---|
| Computer modeling | Tests possible movement strategies in a controlled way | Helps identify which locomotion patterns are mechanically effective |
| Physical robot | Recreates walking-fish motion in the real world | Checks whether the simulated gait still works outside the model |
| Tiktaalik comparison | Links the findings to a 375-million-year-old transitional fish | Offers clues about how vertebrate ancestors may have first moved onto land |