The jaguar is the King of the Amazonian food chain- it is best spotted in the forest area, near a stream, close to nightfall-this is also the time it mostly hunts for its prey. Its preferred habitats in the rainforest are the swampy and wooded regions in the rainforest. Some of the walking traits of the Jaguar are that it stalks and ambushes its prey, it is a very good climber, they enter water freely, active during the day, they hunt mainly at night and on the ground. They are also very swift hunters. The Jaguars are extremely powerful and the same power applies for their bite too.
They are the second strongest of all mammals. One of the things we can take out the Jaguar in order to model the robot to be built, since the Jaguar has adaptive features such as its powerful limbs and agility in climbing tree trunks. Theory behind Jaguar The job to be done is to model the Jaguar’s gait style to suit the rainforest region. To do this we create a suitable control algorithm for the rainforest, therefore suitable regions would need to be accessed, like the marshy, sandy and other types of terrains with fallen logs of wood lying in the forest.
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We would like to make sure and robot to be built would have close to the same characteristics of the Jaguar.
It is usually located near water so it would be able to swim and navigate the aquatic terrain of the rainforest.
It is a cautious animal. It usually stalks and ambushes its prey.
It has a short and sturdy limb structure, which makes it adept for climbing, swimming and crawling.
It has a short and sturdy physique and thus easily fits in to adapt to its environment.
Our robot should be strong enough to withstand the rigours of rainforest, so by studying the speed-torque characteristics of the actuators on the robot, to see if it will be strong enough to adapt to the rainforest, just like the Jaguar. The robot to be built would make use of legged locomotion for its movement givig it an edge in some terrains in the rainforest. What to be done is to study how it adapts to the rainforest. In creating these algorithms, once the path is known, a full body trajectory is drawn and with these an algorithm can be drawn.
I have discovered that to create algorithms, a full body trajectory starting with the trajectory for each leg is drawn or calculated using Inverse Kinematics such that the robot to be built would walk and keep balance (static stability analysis) at the same. Since robots walk according to a prescribed trajectory for a particular regionterrain to be studied (the rainforest being the preferred region). Trajectories are acquired by experience or some optimization. The Tapir This is another animal that can be found in the rainforest, their preferred habitat is the dense rainforest.
According to a recent study done by a carnival-in-Brazil team, they are rarely found in mountainous regions. One of the oldest Brazilian Amazon animals, the tapir is the world’s most primitive animal. It is an animal that has short legs, so in order to model the hexapod robot; one good question to be asked is; how does it adapt easily to the rain forest? Other animals in the rainforest that adapt easily are the:
Apes or Orangutans,
The vampire bat
The Tucuxi and Boto Dolphin
The manatee (water ox).