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작성자 Hazel Theriault 댓글 0건 조회 4회 작성일 24-09-11 03:06본문
Tracking Sharks With Robots
Scientists have been tracking sharks using robots for decades But a new system can do it while following the animal. Biologists at Mote Marine Laboratory and engineers at Harvey Mudd College developed the system using off-the-shelf parts.
It has a powerful gripping force capable of enduring pull-off forces 340 times its own weight. It also can detect changes in objects and alter its path in line with the changes.
Autonomous Underwater Vehicles
Autonomous underwater vehicles (AUVs) are robotic machines that, depending on their design, can drift, drive or glide through the ocean without any real-time guidance from human operators. They come with a range of sensors to record the water's parameters and identify ocean geological features, sea floor habitats and communities and much more.
They are controlled by a surface ship by using Wi-Fi or acoustic links for sending data back to the operator. The AUVS is able to collect temporal or spatial data, and are able to be used as a large team to cover more terrain quicker than one vehicle.
Similar to their counterparts on land, AUVs can navigate using GPS and the Global Navigation Satellite System (GNSS) to determine where they are in the world and how far they've traveled from their beginning point. This positioning information, along with environmental sensors that send data to the onboard computers, allows AUVs to follow a pre-planned trajectory without losing track of their goals.
When a research mission is complete after which the AUV will sink to the surface, and be returned to the research vessel it was launched from. A resident AUV may also be submerged for months and conduct regular inspections that are pre-programmed. In either scenario the AUV will periodically surface to signal its location via an 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. This lets scientists continue to conduct experiments from the ship while the AUV is away collecting data underwater. Other AUVs can communicate with their operators at certain times. For instance when they require to replenish their sensors or check their status.
Free Think states that AUVs aren't just used to collect data from oceanography but can also be used to search for underwater resources, like gas and minerals. They can also be utilized as part of an environmental disaster response plan to assist with rescue and search operations following oil spills or tsunamis. They can also be used to monitor volcanic activity in subsurface areas and monitor the conditions of marine life, such as coral reefs and whale populations.
Curious Robots
Contrary to traditional underwater robots which are preprogrammed to search for one specific characteristic of the ocean floor The curious robots are built to look around and adapt to changing conditions. This is important since the environment beneath the waves can be unpredictable. If the water suddenly gets hot, this could affect the behavior of marine animals or even trigger an oil spill. Robots with a keen eye are able to detect these changes quickly and efficiently.
Researchers are working on a robotic platform which uses reinforcement learning to train robots to be curious. The robot, which appears like a child, complete with a yellow jacket and a green arm can be trained to spot patterns that could indicate an interesting discovery. It can also learn to make decisions about what it should do next based on the outcome of its previous actions. The findings of this research could be used to develop an intelligent robot capable of shark self empty robot-learning and adapting to changes in its environment.
Other researchers are using robotics with a curious nature to investigate areas of the ocean that are too dangerous for human divers. Woods Hole Oceanographic Institution's (WHOI), for example, has a robot called WARP-AUV that is used to investigate shipwrecks and find them. This Shark robot vacuum price is able recognize reef creatures and distinguish jellyfish and semi-transparent fish from their dim backgrounds.
It takes a long time to train an individual to be able to do this. The brain of the WARP-AUV has been trained to recognize familiar species after thousands of images have been fed into it. The WARP-AUV is a marine forensics device that also sends real-time images of sea creatures and underwater scenery to supervisors on the surface.
Other teams are working to create robots that have the same curiosity as humans. A team at the University of Washington's Paul G. Allen school of Computer Science & Engineering, for instance, is looking at how to teach robots curiosity about their surroundings. This team is part of an Honda Research Institute USA initiative to create curious machines.
Remote Missions
Many uncertainties can lead to the possibility of a mission failing. Scientists don't know for sure how the duration of a mission will be, how well the spacecraft parts will function or if any other forces or objects could affect the operation of the spacecraft. The Remote Agent software is intended to ease these doubts by performing many of the complicated tasks that ground control personnel would carry out when they were present on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler and an executive. It also includes model-based reasoning algorithms. The planner/scheduler generates a set of time-based and events-based activities that are referred to as tokens that are then delivered to the executive. The executive decides how to make these tokens a sequence of commands that will be directly transmitted to the spacecraft.
During the experiment during the test, a DS1 crew member is present to resolve any problems that may arise outside of the scope of the test. All regional bureaus must follow Department records management guidelines and maintain all documentation related to the creation of a remote task.
SharkCam by REUS
Sharks are elusive creatures, and scientists know little about their activities below the ocean's surface. However, scientists using an autonomous underwater vehicle known as REMUS SharkCam are starting to break through the blue veil and the results are both astonishing and frightening.
The SharkCam team formed by the 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, as well as images from acoustic tags attached to the sharks, reveal many aspects of the underwater behavior of these top predators.
The REMUS SharkCam constructed in Pocasset, MA by Hydroid, is designed to follow the exact location of an animal that has been tagged without disturbing its behavior or causing alarm. It utilizes an ultra-short navigation device that determines the distance, bearing, and depth of the animal. Then it closes in on the shark 2 in 1 robot vacuum at a specified distance and position (left or right, above or below,) and records its swimming and interactions with its environment. It is able to communicate with scientists on the surface at intervals of 20 seconds and accept commands to change relative 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 Vacuum Self Empty System researcher of 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 might cause disruption to the sharks' movements and possibly scare them away. Skomal together with his colleagues, wrote in a recent paper published in the Journal of Fish Biology that the SharkCam survived despite nine bumps and a biting attack from great whites weighing tens of thousands of pounds over a week of study near the coast of Guadalupe.
Researchers interpreted the interactions between sharks and REMUS SharkCam (which was tracking four sharks tagged) as predatory behavior. They recorded 30 shark robot self empty vacuum interactions with the robot, including simple approaches, bumps, and on nine occasions, aggressive bites from sharks that appeared to be aiming at REMUS.
Scientists have been tracking sharks using robots for decades But a new system can do it while following the animal. Biologists at Mote Marine Laboratory and engineers at Harvey Mudd College developed the system using off-the-shelf parts.It has a powerful gripping force capable of enduring pull-off forces 340 times its own weight. It also can detect changes in objects and alter its path in line with the changes.
Autonomous Underwater Vehicles
Autonomous underwater vehicles (AUVs) are robotic machines that, depending on their design, can drift, drive or glide through the ocean without any real-time guidance from human operators. They come with a range of sensors to record the water's parameters and identify ocean geological features, sea floor habitats and communities and much more.
They are controlled by a surface ship by using Wi-Fi or acoustic links for sending data back to the operator. The AUVS is able to collect temporal or spatial data, and are able to be used as a large team to cover more terrain quicker than one vehicle.
Similar to their counterparts on land, AUVs can navigate using GPS and the Global Navigation Satellite System (GNSS) to determine where they are in the world and how far they've traveled from their beginning point. This positioning information, along with environmental sensors that send data to the onboard computers, allows AUVs to follow a pre-planned trajectory without losing track of their goals.
When a research mission is complete after which the AUV will sink to the surface, and be returned to the research vessel it was launched from. A resident AUV may also be submerged for months and conduct regular inspections that are pre-programmed. In either scenario the AUV will periodically surface to signal its location via an 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. This lets scientists continue to conduct experiments from the ship while the AUV is away collecting data underwater. Other AUVs can communicate with their operators at certain times. For instance when they require to replenish their sensors or check their status.
Free Think states that AUVs aren't just used to collect data from oceanography but can also be used to search for underwater resources, like gas and minerals. They can also be utilized as part of an environmental disaster response plan to assist with rescue and search operations following oil spills or tsunamis. They can also be used to monitor volcanic activity in subsurface areas and monitor the conditions of marine life, such as coral reefs and whale populations.
Curious Robots
Contrary to traditional underwater robots which are preprogrammed to search for one specific characteristic of the ocean floor The curious robots are built to look around and adapt to changing conditions. This is important since the environment beneath the waves can be unpredictable. If the water suddenly gets hot, this could affect the behavior of marine animals or even trigger an oil spill. Robots with a keen eye are able to detect these changes quickly and efficiently.
Researchers are working on a robotic platform which uses reinforcement learning to train robots to be curious. The robot, which appears like a child, complete with a yellow jacket and a green arm can be trained to spot patterns that could indicate an interesting discovery. It can also learn to make decisions about what it should do next based on the outcome of its previous actions. The findings of this research could be used to develop an intelligent robot capable of shark self empty robot-learning and adapting to changes in its environment.
Other researchers are using robotics with a curious nature to investigate areas of the ocean that are too dangerous for human divers. Woods Hole Oceanographic Institution's (WHOI), for example, has a robot called WARP-AUV that is used to investigate shipwrecks and find them. This Shark robot vacuum price is able recognize reef creatures and distinguish jellyfish and semi-transparent fish from their dim backgrounds.
It takes a long time to train an individual to be able to do this. The brain of the WARP-AUV has been trained to recognize familiar species after thousands of images have been fed into it. The WARP-AUV is a marine forensics device that also sends real-time images of sea creatures and underwater scenery to supervisors on the surface.
Other teams are working to create robots that have the same curiosity as humans. A team at the University of Washington's Paul G. Allen school of Computer Science & Engineering, for instance, is looking at how to teach robots curiosity about their surroundings. This team is part of an Honda Research Institute USA initiative to create curious machines.
Remote Missions
Many uncertainties can lead to the possibility of a mission failing. Scientists don't know for sure how the duration of a mission will be, how well the spacecraft parts will function or if any other forces or objects could affect the operation of the spacecraft. The Remote Agent software is intended to ease these doubts by performing many of the complicated tasks that ground control personnel would carry out when they were present on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler and an executive. It also includes model-based reasoning algorithms. The planner/scheduler generates a set of time-based and events-based activities that are referred to as tokens that are then delivered to the executive. The executive decides how to make these tokens a sequence of commands that will be directly transmitted to the spacecraft.
During the experiment during the test, a DS1 crew member is present to resolve any problems that may arise outside of the scope of the test. All regional bureaus must follow Department records management guidelines and maintain all documentation related to the creation of a remote task.
SharkCam by REUS
Sharks are elusive creatures, and scientists know little about their activities below the ocean's surface. However, scientists using an autonomous underwater vehicle known as REMUS SharkCam are starting to break through the blue veil and the results are both astonishing and frightening.
The SharkCam team formed by the 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, as well as images from acoustic tags attached to the sharks, reveal many aspects of the underwater behavior of these top predators.
The REMUS SharkCam constructed in Pocasset, MA by Hydroid, is designed to follow the exact location of an animal that has been tagged without disturbing its behavior or causing alarm. It utilizes an ultra-short navigation device that determines the distance, bearing, and depth of the animal. Then it closes in on the shark 2 in 1 robot vacuum at a specified distance and position (left or right, above or below,) and records its swimming and interactions with its environment. It is able to communicate with scientists on the surface at intervals of 20 seconds and accept commands to change relative 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 Vacuum Self Empty System researcher of 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 might cause disruption to the sharks' movements and possibly scare them away. Skomal together with his colleagues, wrote in a recent paper published in the Journal of Fish Biology that the SharkCam survived despite nine bumps and a biting attack from great whites weighing tens of thousands of pounds over a week of study near the coast of Guadalupe.
Researchers interpreted the interactions between sharks and REMUS SharkCam (which was tracking four sharks tagged) as predatory behavior. They recorded 30 shark robot self empty vacuum interactions with the robot, including simple approaches, bumps, and on nine occasions, aggressive bites from sharks that appeared to be aiming at REMUS.
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