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작성자 Estela 작성일24-08-05 10:25 조회12회 댓글0건본문
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 developed by biologists from Mote Marine Laboratory, and engineers from Harvey Mudd College using components that were readily available.
It can endure a pull-off force that is 340 times greater than its own weight. It also detects changes in objects and alter its course in line with the changes.
Autonomous Underwater Vehicles
Autonomous underwater vehicle (AUV) are programmable robotic machines that, depending on the design, can drift or drive through the ocean, with no human-controlled control in real-time. They are equipped with a variety of sensors to monitor water parameters, and to explore and map the ocean's geological features, seafloor habitats and communities, and more.
They are controlled by a surface vessel with Wi-Fi or acoustic connections for sending data back to the operator. The AUVS can be utilized to collect any kind of spatial or temporal samples and can be used in large teams to cover more ground faster than can be accomplished by the use of a single vehicle.
AUVs are able to use GPS and the Global Navigation Satellite System to determine where they are around the globe, and the distance they've traveled from their starting location. This information about their location, along with sensors for the environment that transmit data to the onboard computers, allows AUVs to travel on a planned course without losing sight of their goals.
After completing a research mission after completing a research project, the AUV will be able to float back to the surface. It can then be recovered by the research vessel from the vessel from which it was launched. Alternatively an AUV with a resident status can be submerged and conduct regular, pre-programmed checks for months at a time. In either scenario, an AUV will periodically surface to communicate its position via an GPS or acoustic signal which is sent to the vessel that is on the surface.
Some AUVs can communicate with their operators continuously via a satellite connection on the research vessel. This allows scientists to continue conducting experiments from the ship while the AUV is off collecting data under water. Other AUVs may communicate with their operators only at specific dates, like when they require fuel or to check the status of their sensor systems.
In addition to providing oceanographic data, AUVs can also be utilized to search for underwater resources such as natural gas and minerals according to Free Think. They can also be utilized in response to environmental disasters like tsunamis or oil spills. They can be used to monitor subsurface volcano activity and the conditions of marine life, including whale populations or coral reefs.
Curious Robots
Contrary to traditional underwater robots that are programmed to search for only one characteristic of the ocean floor The curious robots are built to look around and adapt to changing conditions. This is important because the conditions beneath the waves can be unpredictable. For instance, if the water suddenly gets warmer it could alter the behavior of marine creatures or even cause an oil spill. Robots that are curious are designed to swiftly and efficiently detect these changes.
One team of researchers is working on a new Robotic Shark system that makes use of reinforcement learning to teach the robot to be curious about its surroundings. The robot, which appears like a child, complete with yellow clothing and a green arm, is able to detect patterns that could signal an interesting discovery. It can also be taught to make decisions based on its past actions. The results of this research could be used to design an artificial intelligence that is capable of self-learning and adapting to changing environments.
Other researchers are using robotics with a curious nature to investigate areas of the ocean that are dangerous for human divers. Woods Hole Oceanographic Institute's (WHOI), for example has a robot named WARP-AUV that is used to investigate shipwrecks and find them. The robot can recognize creatures living in reefs, and can distinguish semi-transparent jellyfish as well as fish from their dark backgrounds.
It takes years to train an individual to be able to do this. The brain of the WARP-AUV has been trained by exposing it to thousands of images of marine life making it able to recognize familiar species upon its first dive. The WARP-AUV functions as a marine detective that also sends real-time images of sea creatures and underwater scenery to supervisors on the surface.
Other teams are working to develop robots with the same curiosity as humans. For instance, a team headed by the University of Washington's Paul G. Allen School of Computer Science & Engineering is looking for ways to train robots to be curious about their surroundings. This team is a part of a Honda Research Institute USA initiative to create curious machines.
Remote Missions
There are many uncertainties with space missions that could result in mission failure. Scientists don't know how long mission events will take, how well parts of the spacecraft work and if any other forces or objects will disrupt spacecraft operations. The Remote Agent software is designed to reduce these uncertainties. It will be able to perform a variety of the difficult tasks ground control personnel would do if they were DS1 at the time of the mission.
The Remote Agent software system includes an executive planner/scheduler model-based reasoning algorithm, and a. The planner/scheduler generates a set of time-based and event-based actions known as tokens which are then delivered to the executive. The executive decides on how to expand these tokens into a sequence of commands that are directly transmitted to the spacecraft.
During the test, during the test, a DS1 crew member is present to monitor and resolve any problems that may arise outside of the scope of the test. Regional bureaus must adhere to Department guidelines for managing records and keep all documentation related to the creation of a remote task.
REMUS SharkCam
Sharks are elusive creatures and scientists know little about their activities below the ocean's surface. Scientists are cutting through the blue barrier with an autonomous underwater vehicle named the REMUS SharkCam. The results are astonishing and terrifying.
The SharkCam team, a group from Woods Hole Oceanographic Institution, took the torpedo-shaped SharkCam to Guadalupe Island last year to monitor and film great white sharks in their natural habitat. The resulting 13 hours of video footage together with images from acoustic tags that are attached to sharks, reveal details about the underwater behaviour of these top predators.
The REMUS sharkCam, built by Hydroid in Pocasset MA It is designed to follow the location of a tag without affecting their behavior or alarming them. It utilizes an ultra-short navigation system that determines the range, bearing and depth of the animal. Then, it closes in on the shark vacuum mop robot at a predetermined distance and location (left or right, above or below) and films its swimming and interactions with its surroundings. It can communicate with scientists at the surface every 20 second and can respond to commands to change the speed, depth or standoff distance.
When Roger Stokey, REMUS SharkCam developer Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark researcher from Mexico's Marine Conservation Society, first thought of tracking great white sharks using the self-propelled REMUS SharkCam torpedo, they concerned that the torpedo could interfere with the sharks' movements and may even cause them to flee. However, 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 a week of research off the coast of Guadalupe the SharkCam did not fail and revealed some interesting new behaviors about the great white shark.
The researchers concluded that the sharks' interactions with REMUS SharkCam, which had been monitoring and recording the activities of four sharks that were tagged, as predatory behavior. Researchers recorded 30 shark self empty robot vacuum interactions including simple bumps and nine aggressive bites.
Scientists have tracked sharks using robots for years. However, a new design allows them to do this while tracking the animal. The system was developed by biologists from Mote Marine Laboratory, and engineers from Harvey Mudd College using components that were readily available.
It can endure a pull-off force that is 340 times greater than its own weight. It also detects changes in objects and alter its course in line with the changes.
Autonomous Underwater Vehicles
Autonomous underwater vehicle (AUV) are programmable robotic machines that, depending on the design, can drift or drive through the ocean, with no human-controlled control in real-time. They are equipped with a variety of sensors to monitor water parameters, and to explore and map the ocean's geological features, seafloor habitats and communities, and more.
They are controlled by a surface vessel with Wi-Fi or acoustic connections for sending data back to the operator. The AUVS can be utilized to collect any kind of spatial or temporal samples and can be used in large teams to cover more ground faster than can be accomplished by the use of a single vehicle.
AUVs are able to use GPS and the Global Navigation Satellite System to determine where they are around the globe, and the distance they've traveled from their starting location. This information about their location, along with sensors for the environment that transmit data to the onboard computers, allows AUVs to travel on a planned course without losing sight of their goals.
After completing a research mission after completing a research project, the AUV will be able to float back to the surface. It can then be recovered by the research vessel from the vessel from which it was launched. Alternatively an AUV with a resident status can be submerged and conduct regular, pre-programmed checks for months at a time. In either scenario, an AUV will periodically surface to communicate its position via an GPS or acoustic signal which is sent to the vessel that is on the surface.
Some AUVs can communicate with their operators continuously via a satellite connection on the research vessel. This allows scientists to continue conducting experiments from the ship while the AUV is off collecting data under water. Other AUVs may communicate with their operators only at specific dates, like when they require fuel or to check the status of their sensor systems.
In addition to providing oceanographic data, AUVs can also be utilized to search for underwater resources such as natural gas and minerals according to Free Think. They can also be utilized in response to environmental disasters like tsunamis or oil spills. They can be used to monitor subsurface volcano activity and the conditions of marine life, including whale populations or coral reefs.
Curious Robots
Contrary to traditional underwater robots that are programmed to search for only one characteristic of the ocean floor The curious robots are built to look around and adapt to changing conditions. This is important because the conditions beneath the waves can be unpredictable. For instance, if the water suddenly gets warmer it could alter the behavior of marine creatures or even cause an oil spill. Robots that are curious are designed to swiftly and efficiently detect these changes.
One team of researchers is working on a new Robotic Shark system that makes use of reinforcement learning to teach the robot to be curious about its surroundings. The robot, which appears like a child, complete with yellow clothing and a green arm, is able to detect patterns that could signal an interesting discovery. It can also be taught to make decisions based on its past actions. The results of this research could be used to design an artificial intelligence that is capable of self-learning and adapting to changing environments.
Other researchers are using robotics with a curious nature to investigate areas of the ocean that are dangerous for human divers. Woods Hole Oceanographic Institute's (WHOI), for example has a robot named WARP-AUV that is used to investigate shipwrecks and find them. The robot can recognize creatures living in reefs, and can distinguish semi-transparent jellyfish as well as fish from their dark backgrounds.
It takes years to train an individual to be able to do this. The brain of the WARP-AUV has been trained by exposing it to thousands of images of marine life making it able to recognize familiar species upon its first dive. The WARP-AUV functions as a marine detective that also sends real-time images of sea creatures and underwater scenery to supervisors on the surface.
Other teams are working to develop robots with the same curiosity as humans. For instance, a team headed by the University of Washington's Paul G. Allen School of Computer Science & Engineering is looking for ways to train robots to be curious about their surroundings. This team is a part of a Honda Research Institute USA initiative to create curious machines.
Remote Missions
There are many uncertainties with space missions that could result in mission failure. Scientists don't know how long mission events will take, how well parts of the spacecraft work and if any other forces or objects will disrupt spacecraft operations. The Remote Agent software is designed to reduce these uncertainties. It will be able to perform a variety of the difficult tasks ground control personnel would do if they were DS1 at the time of the mission.
The Remote Agent software system includes an executive planner/scheduler model-based reasoning algorithm, and a. The planner/scheduler generates a set of time-based and event-based actions known as tokens which are then delivered to the executive. The executive decides on how to expand these tokens into a sequence of commands that are directly transmitted to the spacecraft.
During the test, during the test, a DS1 crew member is present to monitor and resolve any problems that may arise outside of the scope of the test. Regional bureaus must adhere to Department guidelines for managing records and keep all documentation related to the creation of a remote task.
REMUS SharkCam
Sharks are elusive creatures and scientists know little about their activities below the ocean's surface. Scientists are cutting through the blue barrier with an autonomous underwater vehicle named the REMUS SharkCam. The results are astonishing and terrifying.
The SharkCam team, a group from Woods Hole Oceanographic Institution, took the torpedo-shaped SharkCam to Guadalupe Island last year to monitor and film great white sharks in their natural habitat. The resulting 13 hours of video footage together with images from acoustic tags that are attached to sharks, reveal details about the underwater behaviour of these top predators.
The REMUS sharkCam, built by Hydroid in Pocasset MA It is designed to follow the location of a tag without affecting their behavior or alarming them. It utilizes an ultra-short navigation system that determines the range, bearing and depth of the animal. Then, it closes in on the shark vacuum mop robot at a predetermined distance and location (left or right, above or below) and films its swimming and interactions with its surroundings. It can communicate with scientists at the surface every 20 second and can respond to commands to change the speed, depth or standoff distance.
When Roger Stokey, REMUS SharkCam developer Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark researcher from Mexico's Marine Conservation Society, first thought of tracking great white sharks using the self-propelled REMUS SharkCam torpedo, they concerned that the torpedo could interfere with the sharks' movements and may even cause them to flee. However, 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 a week of research off the coast of Guadalupe the SharkCam did not fail and revealed some interesting new behaviors about the great white shark.
The researchers concluded that the sharks' interactions with REMUS SharkCam, which had been monitoring and recording the activities of four sharks that were tagged, as predatory behavior. Researchers recorded 30 shark self empty robot vacuum interactions including simple bumps and nine aggressive bites.
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