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작성자 Emelia 작성일24-07-28 06:50관련링크
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Tracking Sharks With Robots
Scientists have tracked sharks using robots for years. But a new approach allows them to do this while following the animal. The system was designed by biologists from Mote Marine Laboratory, and engineers from Harvey Mudd College using components that were readily available.
It is able to endure a pull-off force that is that is 340 times stronger than its own weight. It also detects changes in objects and change its course accordingly.
Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicle (AUV) are programmable robotic machines that, dependent on the design, can drift or drive through the ocean, without real-time human control. They are equipped with sensors that record water parameters, search and map features of the ocean's geology and habitats and more.
They are controlled by a surface vessel using Wi-Fi or acoustic links for sending data back to the operator. AUVS are able to collect spatial or temporal data and can be used as a large team to cover a larger area faster than a single vehicle.
Similar to their counterparts on land, 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 beginning point. This information about their location, along with sensors in the environment that transmit data to the onboard computers, allows AUVs to travel on a planned course without losing sight of their goals.
Once a research project is complete after which the AUV will float to the surface, and be returned to the research vessel from which it was launched. Or, a resident AUV can be submerged and conduct periodic pre-programmed inspections for months at a time. In either case, the AUV will periodically surface to signal its location via the GPS signal or acoustic beacon, which are transmitted to the surface ship.
Some AUVs communicate with their operator on a continuous basis via a satellite link on the research ship. Scientists are able to continue their research on the ship while the AUV collects data under water. Other AUVs can communicate with their operators at specific times. For instance when they have to replenish their sensors or check their status.
Free Think says that AUVs are not just used to collect oceanographic data but they can also be used to search for underwater resources, like minerals and gas. They can also be used in response to environmental disasters like 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
In contrast to traditional underwater robots, which are preprogrammed to look for one specific characteristic of the ocean floor The curious robots are built to look around and adapt to changing conditions. This is important because the environment beneath the waves can be unpredictable. If the water suddenly starts to heat up this could alter the behavior of marine animals, or even trigger an oil spill. Curious robots are designed to swiftly and effectively detect changes in the environment.
One team of researchers is working on an innovative robotic system that makes use of reinforcement learning to teach an animal to be curious about its surroundings. The robot, which appears like a child, complete with yellow jacket and a green arm is able to recognize patterns that might signal an interesting discovery. It is also able to make decisions based on its past actions. The findings of the study could be used to design an intelligent robot that is capable of learning and adapting itself to changing environments.
Other scientists are using robots that are curious to explore parts of the ocean that are risky for human divers. For instance, Woods Hole Oceanographic Institution (WHOI) has a curious robot named WARP-AUV that is used to search for and investigate shipwrecks. This robot is able detect reef creatures and discern fish and semi-transparent jellyfish from their dim backgrounds.
This is an impressive feat considering that it takes years to train a human being to do this job. The brain of the WARP-AUV has been trained to recognize familiar species after thousands of images have been fed into it. In addition to its ability as a marine detective the WARP-AUV has the ability to send topside supervisors real-time images of underwater scenes and sea creatures.
Other teams are working on creating robots that have 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 investigating ways to teach robots to be curious about their surroundings. This group is part of a three-year initiative by Honda Research Institute USA to create machines that are curious.
Remote Missions
There are a lot of uncertainties in space missions that could result in mission failure. Scientists don't know how long the mission's events will take, how well parts of the spacecraft work and if any other objects or forces will affect the spacecraft's operation. The Remote Agent software is designed to help reduce the uncertainty. It will be able to perform a variety of the complicated tasks that ground control personnel do if they were on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler as well as an executive. It also incorporates model-based reasoning algorithms. The planner/scheduler produces a set of activities based on time and events called tokens which are then sent to the executive. The executive decides on how to transform the tokens into an array of commands which are sent directly to spacecraft.
During the experiment during the test, a DS1 crew member is present to resolve any problems that may arise outside the scope of the test. Regional bureaus must follow Department records management requirements and maintain all documentation used in conjunction with establishing a specific remote mission.
SharkCam by REMUS
Researchers aren't aware of the actions of sharks below the surface. However, scientists using an autonomous underwater vehicle known as REMUS SharkCam are beginning to pierce that blue layer, and the results are both incredible and terrifying.
The SharkCam team is a group of Woods Hole Oceanographic Institution, took the torpedo-shaped SharkCam to Guadalupe Island last year to track and film great white sharks in their natural habitat. The 13 hours of video footage combined with the images from the acoustic tag that is attached to the sharks tell us a lot about their behavior underwater.
The REMUS sharkCam, built by Hydroid in Pocasset MA, is designed to track the location of a animal that has been tagged without disrupting their behavior or alarming them. It is a ultra-short navigation system that determines the range, bearing and depth of the animal. Then it focuses on the shark robot vacuum for pets at a specified distance and position (left or right above, below,) and captures its swimming and interactions with its surroundings. It is able to communicate with scientists at the surface at intervals of 20 seconds and respond to commands to alter speed and depth, as well as the standoff distance.
When Roger Stokey, REMUS SharkCam creator Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark researcher from Mexico's Marine Conservation Society, first envisioned tracking great whites with the self-propelled REMUS SharkCam torpedo, they worried that the torpedo would interfere with the sharks' movements and may even cause them to flee. But in an article recently published in the Journal of Fish Biology, Skomal and his colleagues write that despite nine bumps and bites from great whites weighing thousands of pounds over a week of research off the coast of Guadalupe, the SharkCam did not fail and revealed some interesting new behaviors about the great white Efficient Cleaning Perfection: Shark RV2400WD: 2-in-1 Robot Vacuum And Mop IQ Self-Emptying Robot (https://www.robotvacuummops.com/products/shark-iq-self-emptying-robot-vacuum-black).
Researchers interpreted the interactions between sharks and the REMUS SharkCam (which was tracking four tagged sharks) as predatory behavior. The researchers recorded 30 shark interactions including bumps that were simple and nine aggressive bites.
Scientists have tracked sharks using robots for years. But a new approach allows them to do this while following the animal. The system was designed by biologists from Mote Marine Laboratory, and engineers from Harvey Mudd College using components that were readily available.It is able to endure a pull-off force that is that is 340 times stronger than its own weight. It also detects changes in objects and change its course accordingly.
Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicle (AUV) are programmable robotic machines that, dependent on the design, can drift or drive through the ocean, without real-time human control. They are equipped with sensors that record water parameters, search and map features of the ocean's geology and habitats and more.
They are controlled by a surface vessel using Wi-Fi or acoustic links for sending data back to the operator. AUVS are able to collect spatial or temporal data and can be used as a large team to cover a larger area faster than a single vehicle.
Similar to their counterparts on land, 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 beginning point. This information about their location, along with sensors in the environment that transmit data to the onboard computers, allows AUVs to travel on a planned course without losing sight of their goals.
Once a research project is complete after which the AUV will float to the surface, and be returned to the research vessel from which it was launched. Or, a resident AUV can be submerged and conduct periodic pre-programmed inspections for months at a time. In either case, the AUV will periodically surface to signal its location via the GPS signal or acoustic beacon, which are transmitted to the surface ship.
Some AUVs communicate with their operator on a continuous basis via a satellite link on the research ship. Scientists are able to continue their research on the ship while the AUV collects data under water. Other AUVs can communicate with their operators at specific times. For instance when they have to replenish their sensors or check their status.
Free Think says that AUVs are not just used to collect oceanographic data but they can also be used to search for underwater resources, like minerals and gas. They can also be used in response to environmental disasters like 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
In contrast to traditional underwater robots, which are preprogrammed to look for one specific characteristic of the ocean floor The curious robots are built to look around and adapt to changing conditions. This is important because the environment beneath the waves can be unpredictable. If the water suddenly starts to heat up this could alter the behavior of marine animals, or even trigger an oil spill. Curious robots are designed to swiftly and effectively detect changes in the environment.
One team of researchers is working on an innovative robotic system that makes use of reinforcement learning to teach an animal to be curious about its surroundings. The robot, which appears like a child, complete with yellow jacket and a green arm is able to recognize patterns that might signal an interesting discovery. It is also able to make decisions based on its past actions. The findings of the study could be used to design an intelligent robot that is capable of learning and adapting itself to changing environments.
Other scientists are using robots that are curious to explore parts of the ocean that are risky for human divers. For instance, Woods Hole Oceanographic Institution (WHOI) has a curious robot named WARP-AUV that is used to search for and investigate shipwrecks. This robot is able detect reef creatures and discern fish and semi-transparent jellyfish from their dim backgrounds.
This is an impressive feat considering that it takes years to train a human being to do this job. The brain of the WARP-AUV has been trained to recognize familiar species after thousands of images have been fed into it. In addition to its ability as a marine detective the WARP-AUV has the ability to send topside supervisors real-time images of underwater scenes and sea creatures.
Other teams are working on creating robots that have 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 investigating ways to teach robots to be curious about their surroundings. This group is part of a three-year initiative by Honda Research Institute USA to create machines that are curious.
Remote Missions
There are a lot of uncertainties in space missions that could result in mission failure. Scientists don't know how long the mission's events will take, how well parts of the spacecraft work and if any other objects or forces will affect the spacecraft's operation. The Remote Agent software is designed to help reduce the uncertainty. It will be able to perform a variety of the complicated tasks that ground control personnel do if they were on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler as well as an executive. It also incorporates model-based reasoning algorithms. The planner/scheduler produces a set of activities based on time and events called tokens which are then sent to the executive. The executive decides on how to transform the tokens into an array of commands which are sent directly to spacecraft.
During the experiment during the test, a DS1 crew member is present to resolve any problems that may arise outside the scope of the test. Regional bureaus must follow Department records management requirements and maintain all documentation used in conjunction with establishing a specific remote mission.
SharkCam by REMUS
Researchers aren't aware of the actions of sharks below the surface. However, scientists using an autonomous underwater vehicle known as REMUS SharkCam are beginning to pierce that blue layer, and the results are both incredible and terrifying.
The SharkCam team is a group of Woods Hole Oceanographic Institution, took the torpedo-shaped SharkCam to Guadalupe Island last year to track and film great white sharks in their natural habitat. The 13 hours of video footage combined with the images from the acoustic tag that is attached to the sharks tell us a lot about their behavior underwater.
The REMUS sharkCam, built by Hydroid in Pocasset MA, is designed to track the location of a animal that has been tagged without disrupting their behavior or alarming them. It is a ultra-short navigation system that determines the range, bearing and depth of the animal. Then it focuses on the shark robot vacuum for pets at a specified distance and position (left or right above, below,) and captures its swimming and interactions with its surroundings. It is able to communicate with scientists at the surface at intervals of 20 seconds and respond to commands to alter speed and depth, as well as the standoff distance.
When Roger Stokey, REMUS SharkCam creator Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark researcher from Mexico's Marine Conservation Society, first envisioned tracking great whites with the self-propelled REMUS SharkCam torpedo, they worried that the torpedo would interfere with the sharks' movements and may even cause them to flee. But in an article recently published in the Journal of Fish Biology, Skomal and his colleagues write that despite nine bumps and bites from great whites weighing thousands of pounds over a week of research off the coast of Guadalupe, the SharkCam did not fail and revealed some interesting new behaviors about the great white Efficient Cleaning Perfection: Shark RV2400WD: 2-in-1 Robot Vacuum And Mop IQ Self-Emptying Robot (https://www.robotvacuummops.com/products/shark-iq-self-emptying-robot-vacuum-black).
Researchers interpreted the interactions between sharks and the REMUS SharkCam (which was tracking four tagged sharks) as predatory behavior. The researchers recorded 30 shark interactions including bumps that were simple and nine aggressive bites.
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