15 Startling Facts About Robotic Shark That You Never Knew
2024-09-09 23:01
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Tracking Sharks With Robots
Scientists have tracked sharks using robots for years. However, a new design allows them to do this while tracking the animal. The system was created by biologists from Mote Marine Laboratory, and engineers from Harvey Mudd College using components that were readily available.
It has serious gripping power, able to withstand pull-off forces 340 times its own weight. It can also sense and alter its path according to the changes in objects around the home.
Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicles (AUVs) are programmable robotic devices that, dependent on their design they can drift, drive or glide across the ocean with no real-time supervision from human operators. They are equipped with a variety of sensors that record the water's parameters and identify ocean geological features, sea floor communities and habitats and much more.
They are controlled by a surface ship by using Wi-Fi or acoustic links to send data back to the operator. They are used to collect any kind of temporal or spatial data and are able to be deployed in large teams to cover a greater area faster than could be done by one vehicle.
Similar to their land counterparts, AUVs can navigate using GPS and a Global Navigation Satellite System (GNSS) to determine where they are in the world and how far they have traveled from their starting point. This information, in conjunction with sensors for the environment that send information to computers onboard, allows AUVs to follow their route without losing sight of the goal.
Once a research project is completed after which the AUV will float to the surface, and be returned to the research vessel from which it was launched. A resident AUV can remain submerged for a long time and perform regular inspections pre-programmed. In either scenario, the AUV will periodically surface to signal its location via a GPS signal or acoustic beacon, which are then transmitted to the surface ship.
Certain AUVs communicate with their operator on a continuous basis via an internet connection on the research ship. This lets scientists continue to conduct experiments from the ship while the AUV is away collecting data under water. Other AUVs communicate with their owners at specific times. For instance, when they need to refill their sensors or verify their status.
Free Think claims that AUVs are not just used to collect data from oceanography but can also be used to search underwater resources, such as gas and minerals. They can also be employed in response to environmental disasters, such as oil spills or tsunamis. They can also be used to monitor volcanic activity in subsurface areas and to monitor the health of marine life, such as coral reefs and whale populations.
Curious Robots
Contrary to traditional underwater robots that are programmed to search for one specific element of the ocean floor The curious robots are built to be able to see and adjust to changing conditions. This is crucial because the underwater environment can be unpredictable. For instance, if the water suddenly warms up it could alter the behavior of marine creatures or cause an oil spill. Robots that are curious are designed to swiftly and effectively detect changes in the environment.
One team of researchers is working on an innovative robotic platform that uses reinforcement learning to teach a robot to be curious about its surroundings. The robot, which appears like a child with yellow jacket and a green arm can be taught to spot patterns that could suggest an interesting discovery. It is also able to make decisions based on the past actions. The results of the research could be used to design an autonomous robot that is capable of learning and adapting itself to the changing environment.
Other scientists are using curious robots to explore parts of the ocean that are too risky for human divers. Woods Hole Oceanographic Institution's (WHOI) for instance has a robot known as WARP-AUV that is used to search for shipwrecks and locate them. The robot is able to identify creatures living in reefs, and can distinguish semi-transparent jellyfish as well as fish from their dark backgrounds.
It takes years to learn to do this. The brain of the WARP-AUV has been trained by feeding it thousands of images of marine life which means it can identify familiar species on its first dive. In addition to its capabilities as a marine detective the WARP-AUV is able to send topside supervisors real-time images of underwater scenery and sea creatures.
Other teams are working to develop robots with the same curiosity as humans. For instance, a group that is led by the University Washington's Paul G. Allen School of Computer Science & Engineering is looking for ways to train robots to be curious about their surroundings. The team is part of a Honda Research Institute USA initiative to create curious machines.
Remote Missions
There are many uncertainties in space missions that could result in mission failure. Scientists aren't certain of how long mission events will take, how well parts of the spacecraft work or if other forces or objects will affect the spacecraft's operations. The Remote Agent software is designed to eliminate these uncertainties. It will perform many of the complex tasks ground control personnel would do if they were on DS1 at the time of the mission.
The Remote Agent software system consists of a planner/scheduler and an executive. It also incorporates model-based reasoning algorithms. The planner/scheduler creates a set events-based and time-based activities that are referred to as tokens which are then passed to the executive. The executive decides how to use the tokens in a series of commands that are transmitted directly to spacecraft.
During the test there will be an DS1 crewmember will be available to monitor the progress of the Remote Agent and deal with any problems outside the scope of the test. Regional bureaus are required to follow Department records management guidelines and keep all documentation related to the establishment of a remote mission.
REMUS SharkCam
Sharks are elusive creatures, and researchers have no idea about their activities beneath the surface of the ocean. However, scientists using an autonomous underwater vehicle known as REMUS SharkCam are starting to penetrate the blue barrier and the results are incredible and terrifying.
The SharkCam Team, a group of scientists from Woods Hole Oceanographic Institution took the SharkCam which is a torpedo-shaped camera that was taken to Guadalupe Island to track and film white great sharks in their natural habitat. The resulting 13 hours of video footage, combined with visuals from acoustic tag tags attached to sharks, reveal much about the underwater behavior of these predators.
The REMUS sharkCam is manufactured by Hydroid in Pocasset MA It is designed to track the location of a tagged animals without disturbing their behavior or causing alarm. It utilizes an ultra-short navigation system to determine the range, bearing and depth of the animal. Then it closes in on the shark self-emptying vacuum with a predetermined distance and location (left or right, above, below) and captures its swimming and interaction with its environment. It communicates with scientists at the surface every 20 seconds, and is able to accept commands to change its speed, depth, or standoff distance.
When state shark mop vac robot scientist Greg Skomal, WHOI engineer Amy Kukulya, Pelagios-Kakunja shark robot vacuum and mop self emptying researcher Edgar Mauricio Hoyos-Padilla of Mexico's Marine Conservation Society and REMUS SharkCam software creator Roger Stokey first envisioned tracking and filming great white sharks using the self-propelled torpedo that they named REMUS SharkCam, they worried that it could disrupt the sharks' movements and could cause them to flee from the area they were studying. In a recent article published in the Journal of Fish Biology, Skomal and his colleagues write that despite nine bites and bumps from great whites weighing thousands of pounds over the course of a week of research off the coast of Guadalupe, the SharkCam was able to survive and revealed some fascinating new behaviors about the great white shark.
Researchers interpreted the interactions of sharks and the REMUS SharkCam (which was able to track four sharks tagged) as predatory behavior. The researchers recorded 30 Shark Vacuum robot self empty interactions which included simple bumps and nine bites with a ferocious force.
Scientists have tracked sharks using robots for years. However, a new design allows them to do this while tracking the animal. The system was created by biologists from Mote Marine Laboratory, and engineers from Harvey Mudd College using components that were readily available.
It has serious gripping power, able to withstand pull-off forces 340 times its own weight. It can also sense and alter its path according to the changes in objects around the home.
Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicles (AUVs) are programmable robotic devices that, dependent on their design they can drift, drive or glide across the ocean with no real-time supervision from human operators. They are equipped with a variety of sensors that record the water's parameters and identify ocean geological features, sea floor communities and habitats and much more.
They are controlled by a surface ship by using Wi-Fi or acoustic links to send data back to the operator. They are used to collect any kind of temporal or spatial data and are able to be deployed in large teams to cover a greater area faster than could be done by one vehicle.
Similar to their land counterparts, AUVs can navigate using GPS and a Global Navigation Satellite System (GNSS) to determine where they are in the world and how far they have traveled from their starting point. This information, in conjunction with sensors for the environment that send information to computers onboard, allows AUVs to follow their route without losing sight of the goal.
Once a research project is completed after which the AUV will float to the surface, and be returned to the research vessel from which it was launched. A resident AUV can remain submerged for a long time and perform regular inspections pre-programmed. In either scenario, the AUV will periodically surface to signal its location via a GPS signal or acoustic beacon, which are then transmitted to the surface ship.
Certain AUVs communicate with their operator on a continuous basis via an internet connection on the research ship. This lets scientists continue to conduct experiments from the ship while the AUV is away collecting data under water. Other AUVs communicate with their owners at specific times. For instance, when they need to refill their sensors or verify their status.
Free Think claims that AUVs are not just used to collect data from oceanography but can also be used to search underwater resources, such as gas and minerals. They can also be employed in response to environmental disasters, such as oil spills or tsunamis. They can also be used to monitor volcanic activity in subsurface areas and to monitor the health of marine life, such as coral reefs and whale populations.
Curious Robots
Contrary to traditional underwater robots that are programmed to search for one specific element of the ocean floor The curious robots are built to be able to see and adjust to changing conditions. This is crucial because the underwater environment can be unpredictable. For instance, if the water suddenly warms up it could alter the behavior of marine creatures or cause an oil spill. Robots that are curious are designed to swiftly and effectively detect changes in the environment.
One team of researchers is working on an innovative robotic platform that uses reinforcement learning to teach a robot to be curious about its surroundings. The robot, which appears like a child with yellow jacket and a green arm can be taught to spot patterns that could suggest an interesting discovery. It is also able to make decisions based on the past actions. The results of the research could be used to design an autonomous robot that is capable of learning and adapting itself to the changing environment.
Other scientists are using curious robots to explore parts of the ocean that are too risky for human divers. Woods Hole Oceanographic Institution's (WHOI) for instance has a robot known as WARP-AUV that is used to search for shipwrecks and locate them. The robot is able to identify creatures living in reefs, and can distinguish semi-transparent jellyfish as well as fish from their dark backgrounds.
It takes years to learn to do this. The brain of the WARP-AUV has been trained by feeding it thousands of images of marine life which means it can identify familiar species on its first dive. In addition to its capabilities as a marine detective the WARP-AUV is able to send topside supervisors real-time images of underwater scenery and sea creatures.
Other teams are working to develop robots with the same curiosity as humans. For instance, a group that is led by the University Washington's Paul G. Allen School of Computer Science & Engineering is looking for ways to train robots to be curious about their surroundings. The team is part of a Honda Research Institute USA initiative to create curious machines.
Remote Missions
There are many uncertainties in space missions that could result in mission failure. Scientists aren't certain of how long mission events will take, how well parts of the spacecraft work or if other forces or objects will affect the spacecraft's operations. The Remote Agent software is designed to eliminate these uncertainties. It will perform many of the complex tasks ground control personnel would do if they were on DS1 at the time of the mission.
The Remote Agent software system consists of a planner/scheduler and an executive. It also incorporates model-based reasoning algorithms. The planner/scheduler creates a set events-based and time-based activities that are referred to as tokens which are then passed to the executive. The executive decides how to use the tokens in a series of commands that are transmitted directly to spacecraft.
During the test there will be an DS1 crewmember will be available to monitor the progress of the Remote Agent and deal with any problems outside the scope of the test. Regional bureaus are required to follow Department records management guidelines and keep all documentation related to the establishment of a remote mission.
REMUS SharkCam
Sharks are elusive creatures, and researchers have no idea about their activities beneath the surface of the ocean. However, scientists using an autonomous underwater vehicle known as REMUS SharkCam are starting to penetrate the blue barrier and the results are incredible and terrifying.
The SharkCam Team, a group of scientists from Woods Hole Oceanographic Institution took the SharkCam which is a torpedo-shaped camera that was taken to Guadalupe Island to track and film white great sharks in their natural habitat. The resulting 13 hours of video footage, combined with visuals from acoustic tag tags attached to sharks, reveal much about the underwater behavior of these predators.
The REMUS sharkCam is manufactured by Hydroid in Pocasset MA It is designed to track the location of a tagged animals without disturbing their behavior or causing alarm. It utilizes an ultra-short navigation system to determine the range, bearing and depth of the animal. Then it closes in on the shark self-emptying vacuum with a predetermined distance and location (left or right, above, below) and captures its swimming and interaction with its environment. It communicates with scientists at the surface every 20 seconds, and is able to accept commands to change its speed, depth, or standoff distance.
When state shark mop vac robot scientist Greg Skomal, WHOI engineer Amy Kukulya, Pelagios-Kakunja shark robot vacuum and mop self emptying researcher Edgar Mauricio Hoyos-Padilla of Mexico's Marine Conservation Society and REMUS SharkCam software creator Roger Stokey first envisioned tracking and filming great white sharks using the self-propelled torpedo that they named REMUS SharkCam, they worried that it could disrupt the sharks' movements and could cause them to flee from the area they were studying. In a recent article published in the Journal of Fish Biology, Skomal and his colleagues write that despite nine bites and bumps from great whites weighing thousands of pounds over the course of a week of research off the coast of Guadalupe, the SharkCam was able to survive and revealed some fascinating new behaviors about the great white shark.
Researchers interpreted the interactions of sharks and the REMUS SharkCam (which was able to track four sharks tagged) as predatory behavior. The researchers recorded 30 Shark Vacuum robot self empty interactions which included simple bumps and nine bites with a ferocious force.
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