싱나벼룩시장 | A Look At The Good And Bad About Robotic Shark
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작성자 Mickey 작성일24-07-28 06:51관련링크
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Tracking Sharks With Robots
Scientists have been tracking sharks using robots for decades. However, a new design 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 has a powerful gripping force capable of enduring pull-off forces that are 340 times its own weight. It can also sense changes in objects and alter its path accordingly.
Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicles (AUV) are programmable robotic machines that, depending on the design they can drift or move through the ocean without any human supervision in real-time. They are equipped with sensors that monitor water parameters, search and map ocean geological features as well as habitats, and more.
They are controlled by a surface ship by using Wi-Fi or acoustic links to send data back to the operator. AUVS are used to collect any type of temporal or spatial data and can be deployed in large groups to cover a greater area faster than could be done with the use of a single vehicle.
AUVs can utilize GPS and a Global Navigation Satellite System to determine their location around the globe, and how far they've traveled since their initial location. This information, along with environmental sensors that transmit information to the computer systems onboard, allow AUVs to follow their planned trajectory without losing sight of their goal.
Once a research project is complete when the research mission is completed, 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 conduct regular inspections that are pre-programmed. In either scenario the AUV will periodically surface to communicate its location via the GPS signal or an acoustic beacon, which are then transmitted to the surface ship.
Certain AUVs communicate with their operator continuously through an internet connection to the research ship. This allows scientists to continue to conduct experiments from their ship even when the AUV is away collecting data underwater. Other AUVs can communicate with their operators only at specific times, for instance, when they require fuel or check the status of their sensor systems.
In addition to providing oceanographic information, 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 to respond to environmental catastrophes like oil spills or tsunamis. They can also be used to monitor volcanic activity in subsurface areas and monitor the condition of marine life, such as whale populations and coral reefs.
Curious Robots
Contrary to traditional undersea robots, which are preprogrammed to only search for one feature on the ocean floor, curious underwater robots are built so that they can look around and adapt to changing circumstances. This is crucial, as the conditions below the waves can be unpredictable. If the water suddenly heats up, this could affect the behavior of marine animals, or even trigger an oil spill. Robots that are curious are able to detect these changes quickly and effectively.
Researchers are working on a robotic platform that makes use of reinforcement learning to train robots to be curious. The robot, which looks like an infant wearing yellow clothing with a green thumb, can be taught to recognize patterns, which could indicate an interesting discovery. It can also learn to decide what it should do next, based on the outcome of its previous actions. The results of the research could be used to design an autonomous robot capable of learning and adapting to changing environments.
Scientists are also using robots to investigate parts that are too dangerous for humans to dive into. Woods Hole Oceanographic Institution's (WHOI) for instance has a robot known as WARP-AUV, which is used to study wrecks of ships and to locate them. The robot can recognize reef creatures and distinguish jellyfish and semi-transparent fish from their dim backgrounds.
This is an impressive feat considering that it takes a long time for a human brain to do this job. The WARP-AUV's brain has been conditioned by exposing it to thousands of images of marine life, making it able to identify familiar species on its first dive. In addition to its ability as a marine sleuth, the WARP-AUV can send topside supervisors real-time images of underwater scenes and sea creatures.
Other teams are developing robots that learn with the same curiosity humans do. For instance, a team 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 group is part of a three-year initiative by Honda Research Institute USA to create machines that are curious.
Remote Missions
There are many uncertainties that could lead to a mission failure. Scientists aren't sure how long a mission will last and how well spacecraft parts will function and if other forces or objects could interfere with spacecraft operation. The Remote Agent software is intended to help reduce these uncertainties by completing many of the complex tasks ground control personnel would carry out if they were present on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler and an executive. It also has model-based reasoning algorithms. The planner/scheduler creates a set events-based and time-based activities that are referred to as tokens that are then delivered to the executive. The executive decides on how to use the tokens in an array of commands which are sent directly to spacecraft.
During the test, during the test, a DS1 crew member is available to assist in resolving any problems that may arise outside of the scope of the test. All regional bureaus must follow Department guidelines for managing records and keep all documentation related to the establishment of a remote mission.
SharkCam by Remus
Researchers have no idea of the activities of sharks below the surface. But scientists using an autonomous underwater vehicle called REMUS SharkCam are starting to penetrate the blue barrier and the results are both incredible 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 resulting 13 hours of video footage as well as images from acoustic tags that are attached to sharks, provide details about the underwater behaviour of these predators.
The REMUS SharkCam, which is constructed in Pocasset, MA by Hydroid it is designed to track the location of a tagged animal without disturbing its behavior or alarming it. It employs an multidirectional ultra-short baseline navigation device to determine the range, bearing, and depth of the shark, and then closes in at a predetermined distance and position (left right, right, above or below) to film it swimming and interacting with its surroundings. It communicates with scientists on the surface every 20 seconds, and can accept commands to change its speed or depth, as well as standoff distance.
State shark scientist Greg Skomal, WHOI engineer Amy Kukulya, Pelagios-Kakunja shark researcher Edgar Mauricio Hoyos-Padilla from 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 they called REMUS SharkCam They were concerned that it would disturb the sharks' movements and potentially 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 report that despite nine bites and bumps from great whites weighing thousands of pounds over a week of study off the coast of Guadalupe the SharkCam survived--and revealed some intriguing new behaviors of the great white shark vacuum mop robot.
Researchers interpreted the interactions of sharks and the REMUS SharkCam (which was tracking four sharks that were tagged) as predatory behavior. They documented 30 Shark Robot Vacuum Self Empty Base interactions with the robot including bumps, simple approaches, and on nine occasions, aggressive bites by sharks that appeared to be aiming at REMUS.
Scientists have been tracking sharks using robots for decades. However, a new design 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 has a powerful gripping force capable of enduring pull-off forces that are 340 times its own weight. It can also sense changes in objects and alter its path accordingly.Autonomous Underwater Vehicles (AUVs)
Autonomous underwater vehicles (AUV) are programmable robotic machines that, depending on the design they can drift or move through the ocean without any human supervision in real-time. They are equipped with sensors that monitor water parameters, search and map ocean geological features as well as habitats, and more.
They are controlled by a surface ship by using Wi-Fi or acoustic links to send data back to the operator. AUVS are used to collect any type of temporal or spatial data and can be deployed in large groups to cover a greater area faster than could be done with the use of a single vehicle.
AUVs can utilize GPS and a Global Navigation Satellite System to determine their location around the globe, and how far they've traveled since their initial location. This information, along with environmental sensors that transmit information to the computer systems onboard, allow AUVs to follow their planned trajectory without losing sight of their goal.
Once a research project is complete when the research mission is completed, 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 conduct regular inspections that are pre-programmed. In either scenario the AUV will periodically surface to communicate its location via the GPS signal or an acoustic beacon, which are then transmitted to the surface ship.
Certain AUVs communicate with their operator continuously through an internet connection to the research ship. This allows scientists to continue to conduct experiments from their ship even when the AUV is away collecting data underwater. Other AUVs can communicate with their operators only at specific times, for instance, when they require fuel or check the status of their sensor systems.
In addition to providing oceanographic information, 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 to respond to environmental catastrophes like oil spills or tsunamis. They can also be used to monitor volcanic activity in subsurface areas and monitor the condition of marine life, such as whale populations and coral reefs.
Curious Robots
Contrary to traditional undersea robots, which are preprogrammed to only search for one feature on the ocean floor, curious underwater robots are built so that they can look around and adapt to changing circumstances. This is crucial, as the conditions below the waves can be unpredictable. If the water suddenly heats up, this could affect the behavior of marine animals, or even trigger an oil spill. Robots that are curious are able to detect these changes quickly and effectively.
Researchers are working on a robotic platform that makes use of reinforcement learning to train robots to be curious. The robot, which looks like an infant wearing yellow clothing with a green thumb, can be taught to recognize patterns, which could indicate an interesting discovery. It can also learn to decide what it should do next, based on the outcome of its previous actions. The results of the research could be used to design an autonomous robot capable of learning and adapting to changing environments.
Scientists are also using robots to investigate parts that are too dangerous for humans to dive into. Woods Hole Oceanographic Institution's (WHOI) for instance has a robot known as WARP-AUV, which is used to study wrecks of ships and to locate them. The robot can recognize reef creatures and distinguish jellyfish and semi-transparent fish from their dim backgrounds.
This is an impressive feat considering that it takes a long time for a human brain to do this job. The WARP-AUV's brain has been conditioned by exposing it to thousands of images of marine life, making it able to identify familiar species on its first dive. In addition to its ability as a marine sleuth, the WARP-AUV can send topside supervisors real-time images of underwater scenes and sea creatures.
Other teams are developing robots that learn with the same curiosity humans do. For instance, a team 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 group is part of a three-year initiative by Honda Research Institute USA to create machines that are curious.
Remote Missions
There are many uncertainties that could lead to a mission failure. Scientists aren't sure how long a mission will last and how well spacecraft parts will function and if other forces or objects could interfere with spacecraft operation. The Remote Agent software is intended to help reduce these uncertainties by completing many of the complex tasks ground control personnel would carry out if they were present on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler and an executive. It also has model-based reasoning algorithms. The planner/scheduler creates a set events-based and time-based activities that are referred to as tokens that are then delivered to the executive. The executive decides on how to use the tokens in an array of commands which are sent directly to spacecraft.
During the test, during the test, a DS1 crew member is available to assist in resolving any problems that may arise outside of the scope of the test. All regional bureaus must follow Department guidelines for managing records and keep all documentation related to the establishment of a remote mission.
SharkCam by Remus
Researchers have no idea of the activities of sharks below the surface. But scientists using an autonomous underwater vehicle called REMUS SharkCam are starting to penetrate the blue barrier and the results are both incredible 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 resulting 13 hours of video footage as well as images from acoustic tags that are attached to sharks, provide details about the underwater behaviour of these predators.
The REMUS SharkCam, which is constructed in Pocasset, MA by Hydroid it is designed to track the location of a tagged animal without disturbing its behavior or alarming it. It employs an multidirectional ultra-short baseline navigation device to determine the range, bearing, and depth of the shark, and then closes in at a predetermined distance and position (left right, right, above or below) to film it swimming and interacting with its surroundings. It communicates with scientists on the surface every 20 seconds, and can accept commands to change its speed or depth, as well as standoff distance.
State shark scientist Greg Skomal, WHOI engineer Amy Kukulya, Pelagios-Kakunja shark researcher Edgar Mauricio Hoyos-Padilla from 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 they called REMUS SharkCam They were concerned that it would disturb the sharks' movements and potentially 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 report that despite nine bites and bumps from great whites weighing thousands of pounds over a week of study off the coast of Guadalupe the SharkCam survived--and revealed some intriguing new behaviors of the great white shark vacuum mop robot.
Researchers interpreted the interactions of sharks and the REMUS SharkCam (which was tracking four sharks that were tagged) as predatory behavior. They documented 30 Shark Robot Vacuum Self Empty Base interactions with the robot including bumps, simple approaches, and on nine occasions, aggressive bites by sharks that appeared to be aiming at REMUS.
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