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Tracking Sharks With Robots
Scientists have been tracking sharks with robots for decades But a new system is able 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 capable of enduring pull-off forces 340 times its own weight. It can also sense and alter its path depending on the changing conditions of the home.
Autonomous Underwater Vehicles
Autonomous underwater vehicles (AUVs) are robotic shark (http://mariskamast.net:/smf/index.php?action=Profile;u=2995231) machines that, dependent on their design, can drift, drive or glide across the ocean with no real-time supervision from human operators. They are equipped with a range of sensors that record water parameters and explore and map ocean geological features, sea floor habitats and communities and much more.
They are controlled by a surface vessel with Wi-Fi or acoustic connections to send data back to the operator. AUVS can be used to collect temporal or spatial data and can be used in a larger group to cover more ground more quickly than one vehicle.
Similar to their land counterparts, AUVs can navigate using GPS and the 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, combined with sensors for the environment that send information to computers onboard, allow AUVs to follow their intended course without losing sight of the goal.
Once a research project is complete after which the AUV will sink to the surface, vacuum and mop combo shark be recovered on the research vessel from which it was launched. Alternatively an AUV with a resident status can remain underwater and conduct regular pre-programmed inspections for a period of months. In either case the AUV will periodically surface to communicate its position via the GPS or acoustic signal which is then transmitted to the vessel that is on the surface.
Certain AUVs are able to communicate with their operators continuously via a satellite connection on the research vessel. Scientists can continue their research on the ship while the AUV collects data under water. Other AUVs communicate with their operators at certain times. For instance, when they need to replenish their sensors or verify their status.
In addition to providing oceanographic data, AUVs can also be used to locate underwater resources like natural gas and minerals, according to Free Think. They can also be used as part of an environmental disaster response plan to aid in rescue and search operations following oil spills or tsunamis. They can also be used to monitor subsurface volcano activity as well as the conditions of marine life, including whale populations or coral reefs.
Curious Robots
Unlike traditional undersea robots, which are preprogrammed to look for a single feature of the ocean floor The curious robots are built to explore the surroundings and adapt to changing conditions. This is important since the environment beneath the waves can be unpredictable. For instance, if the water suddenly gets warmer it can alter the behavior of marine animals or even lead to an oil spill. Curious robots are able to detect these changes quickly and effectively.
Researchers are working on a robotic platform which uses reinforcement learning to train robots to be curious. The robot, which resembles a child in a yellow jacket with a green hand can be taught to recognize patterns, which could be a sign of an interesting discovery. It can also be taught to make decisions based on the past actions. The results of this research could be used to develop an autonomous robot capable of learning and adapting to the changing environment.
Other scientists are using robots that are curious to study areas of the ocean that are too risky for human divers. For instance, Woods Hole Oceanographic Institution (WHOI) has a curious robot named WARP-AUV. It is used to search for and study shipwrecks. This robot is able to recognize reef creatures and discern jellyfish and semi-transparent fish from their dim backgrounds.
It takes a long time to train an individual to do this. The WARP-AUV's brain is trained by exposing it to thousands of images of marine life, so it is able to detect familiar species on its first dive. In addition to its ability as a marine detective the WARP-AUV can send topside supervisors live images of underwater scenes and sea creatures.
Other teams are developing robots that learn by observing the same curiosity humans have. For instance, a group headed by the University of Washington's Paul G. Allen School of Computer Science & Engineering is investigating ways to teach robots to be curious about their surroundings. This team is part of a three-year project by Honda Research Institute USA to develop machines that are curious.
Remote Missions
A myriad of uncertainties could result in an unplanned mission failure. Scientists aren't certain of what time the mission will take, how well certain parts of the spacecraft will work and if any other forces or objects will affect the spacecraft's operations. The Remote Agent software is designed to help reduce the uncertainty. It will be able to perform a variety of the complicated tasks ground control personnel would do if they were on DS1 during the mission.
Remote Agent is a Remote Agent software system includes a planner/scheduler, an executive, and model-based reasoning algorithms. The planner/scheduler generates a set of time-based, event-based activities called tokens. These are delivered to the executive. The executive determines how to expand the tokens into a series of commands which are sent directly to spacecraft.
During the experiment during the test, a DS1 crew member is present to monitor and resolve any issues that might arise outside the scope of the test. Regional bureaus must adhere to Department guidelines for managing records and keep all documentation related to the establishment of a remote mission.
REMUS SharkCam
Sharks are mysterious creatures, and researchers have no idea about their activities beneath the ocean's surface. Scientists are piercing the blue veil using an autonomous underwater vehicle known as the REMUS SharkCam. The results are both astonishing and terrifying.
The SharkCam team formed by the 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 resultant 13 hours of video footage as well as images from acoustic tag tags attached to sharks, provide details about the underwater behaviour of these top predators.
The REMUS SharkCam, developed in Pocasset, MA by Hydroid, is designed to follow the position of an animal that has been tagged without disrupting its behavior or causing alarm. It employs an omnidirectional ultra-short baseline navigation system to determine the range, bearing and depth of the shark sweep and mop robot. It and then closes in at a predetermined standoff distance and position (left, right above or below) to film it swimming and interacting with its surroundings. It communicates with scientists at the surface every 20 seconds and can accept commands to alter its speed, depth, or standoff distance.
When Roger Stokey, REMUS SharkCam developer Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark vacuum robot mop researcher from Mexico's Marine Conservation Society, first thought of tracking great white sharks using the self-propelled REMUS SharkCam torpedo, they were worried that the torpedo would disrupt the sharks' movement and possibly 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 during the course of a week of research off the coast of Guadalupe, the SharkCam survived--and revealed some intriguing new behaviors about the great white shark vacuum self empty.
The researchers concluded that the sharks' interactions with REMUS SharkCam, which was monitoring and recording the activities of four sharks that were tagged, as predatory behavior. They recorded 30 shark interactions with the robot including simple approaches, bumps and on nine occasions, aggressive bites by sharks that appeared to be aiming at REMUS.
Scientists have been tracking sharks with robots for decades But a new system is able 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 capable of enduring pull-off forces 340 times its own weight. It can also sense and alter its path depending on the changing conditions of the home.Autonomous Underwater Vehicles
Autonomous underwater vehicles (AUVs) are robotic shark (http://mariskamast.net:/smf/index.php?action=Profile;u=2995231) machines that, dependent on their design, can drift, drive or glide across the ocean with no real-time supervision from human operators. They are equipped with a range of sensors that record water parameters and explore and map ocean geological features, sea floor habitats and communities and much more.
They are controlled by a surface vessel with Wi-Fi or acoustic connections to send data back to the operator. AUVS can be used to collect temporal or spatial data and can be used in a larger group to cover more ground more quickly than one vehicle.
Similar to their land counterparts, AUVs can navigate using GPS and the 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, combined with sensors for the environment that send information to computers onboard, allow AUVs to follow their intended course without losing sight of the goal.
Once a research project is complete after which the AUV will sink to the surface, vacuum and mop combo shark be recovered on the research vessel from which it was launched. Alternatively an AUV with a resident status can remain underwater and conduct regular pre-programmed inspections for a period of months. In either case the AUV will periodically surface to communicate its position via the GPS or acoustic signal which is then transmitted to the vessel that is on the surface.
Certain AUVs are able to communicate with their operators continuously via a satellite connection on the research vessel. Scientists can continue their research on the ship while the AUV collects data under water. Other AUVs communicate with their operators at certain times. For instance, when they need to replenish their sensors or verify their status.
In addition to providing oceanographic data, AUVs can also be used to locate underwater resources like natural gas and minerals, according to Free Think. They can also be used as part of an environmental disaster response plan to aid in rescue and search operations following oil spills or tsunamis. They can also be used to monitor subsurface volcano activity as well as the conditions of marine life, including whale populations or coral reefs.
Curious Robots
Unlike traditional undersea robots, which are preprogrammed to look for a single feature of the ocean floor The curious robots are built to explore the surroundings and adapt to changing conditions. This is important since the environment beneath the waves can be unpredictable. For instance, if the water suddenly gets warmer it can alter the behavior of marine animals or even lead to an oil spill. Curious robots are able to detect these changes quickly and effectively.
Researchers are working on a robotic platform which uses reinforcement learning to train robots to be curious. The robot, which resembles a child in a yellow jacket with a green hand can be taught to recognize patterns, which could be a sign of an interesting discovery. It can also be taught to make decisions based on the past actions. The results of this research could be used to develop an autonomous robot capable of learning and adapting to the changing environment.
Other scientists are using robots that are curious to study areas of the ocean that are too risky for human divers. For instance, Woods Hole Oceanographic Institution (WHOI) has a curious robot named WARP-AUV. It is used to search for and study shipwrecks. This robot is able to recognize reef creatures and discern jellyfish and semi-transparent fish from their dim backgrounds.
It takes a long time to train an individual to do this. The WARP-AUV's brain is trained by exposing it to thousands of images of marine life, so it is able to detect familiar species on its first dive. In addition to its ability as a marine detective the WARP-AUV can send topside supervisors live images of underwater scenes and sea creatures.
Other teams are developing robots that learn by observing the same curiosity humans have. For instance, a group headed by the University of Washington's Paul G. Allen School of Computer Science & Engineering is investigating ways to teach robots to be curious about their surroundings. This team is part of a three-year project by Honda Research Institute USA to develop machines that are curious.
Remote Missions
A myriad of uncertainties could result in an unplanned mission failure. Scientists aren't certain of what time the mission will take, how well certain parts of the spacecraft will work and if any other forces or objects will affect the spacecraft's operations. The Remote Agent software is designed to help reduce the uncertainty. It will be able to perform a variety of the complicated tasks ground control personnel would do if they were on DS1 during the mission.
Remote Agent is a Remote Agent software system includes a planner/scheduler, an executive, and model-based reasoning algorithms. The planner/scheduler generates a set of time-based, event-based activities called tokens. These are delivered to the executive. The executive determines how to expand the tokens into a series of commands which are sent directly to spacecraft.
During the experiment during the test, a DS1 crew member is present to monitor and resolve any issues that might arise outside the scope of the test. Regional bureaus must adhere to Department guidelines for managing records and keep all documentation related to the establishment of a remote mission.
REMUS SharkCam
Sharks are mysterious creatures, and researchers have no idea about their activities beneath the ocean's surface. Scientists are piercing the blue veil using an autonomous underwater vehicle known as the REMUS SharkCam. The results are both astonishing and terrifying.
The SharkCam team formed by the 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 resultant 13 hours of video footage as well as images from acoustic tag tags attached to sharks, provide details about the underwater behaviour of these top predators.
The REMUS SharkCam, developed in Pocasset, MA by Hydroid, is designed to follow the position of an animal that has been tagged without disrupting its behavior or causing alarm. It employs an omnidirectional ultra-short baseline navigation system to determine the range, bearing and depth of the shark sweep and mop robot. It and then closes in at a predetermined standoff distance and position (left, right above or below) to film it swimming and interacting with its surroundings. It communicates with scientists at the surface every 20 seconds and can accept commands to alter its speed, depth, or standoff distance.
When Roger Stokey, REMUS SharkCam developer Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark vacuum robot mop researcher from Mexico's Marine Conservation Society, first thought of tracking great white sharks using the self-propelled REMUS SharkCam torpedo, they were worried that the torpedo would disrupt the sharks' movement and possibly 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 during the course of a week of research off the coast of Guadalupe, the SharkCam survived--and revealed some intriguing new behaviors about the great white shark vacuum self empty.
The researchers concluded that the sharks' interactions with REMUS SharkCam, which was monitoring and recording the activities of four sharks that were tagged, as predatory behavior. They recorded 30 shark interactions with the robot including simple approaches, bumps and on nine occasions, aggressive bites by sharks that appeared to be aiming at REMUS.
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