15 Shocking Facts About Robotic Shark You've Never Heard Of
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Tracking Sharks With Robots
Scientists have been tracking sharks using robots for years But a new system can do it while tracking 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 withstand a pull-off force that is 340 times stronger than its own weight. It can also sense and alter its path according to the changes in objects around the home.
Autonomous Underwater Vehicles
Autonomous underwater vehicle (AUV) are robots that can be programmed to operate dependent on the design, can drift or drive through the ocean, without human-controlled control in real-time. They are equipped with a variety of sensors to record water parameters, and to explore and map the ocean's geological features, seafloor communities and habitats and much more.
They are usually controlled from a surface vessel using Wi-Fi or an audio link to send data back to the operator. The AUVS is able to collect spatial or temporal data and can be deployed as a large team to cover more ground faster than a single vehicle.
AUVs are able to use GPS and a Global Navigation Satellite System to determine where they are around the globe, and also how far they've traveled from their initial location. This information, combined with sensors in the environment that transmit information to computers onboard, allows AUVs follow their route without losing sight of their destination.
When a research mission is complete, the AUV will sink to the surface and be returned to the research vessel it was launched from. Alternatively an AUV that is resident can be submerged and conduct regular pre-programmed inspections for a period of months. In either case, the AUV will periodically surface to signal its location using an GPS signal or an acoustic beacon, which is transmitted to the surface ship.
Certain AUVs are able to communicate with their operators on a continuous basis via a satellite connection on the research vessel. Scientists can continue their experiments on the ship while the AUV gathers data underwater. Other AUVs can communicate with their operators at specific times. For example when they require to replenish their sensors or verify their status.
Free Think says that AUVs are not just used to collect oceanographic data but can also be used to search for underwater resources, such as minerals and gas. They can also be used for environmental disaster response to assist in rescue and search operations following oil spills or tsunamis. They can also be used to monitor subsurface volcanic activity and to monitor the health of marine life such as whale populations and coral reefs.
Curious Robots
Unlike traditional undersea robots, that are programmed to search for a single feature of the ocean floor, curious robots are designed to explore the surroundings and adapt to changing conditions. This is important, because the underwater environment is often unpredictable. For instance, if temperature of the water suddenly increases, it could change the behavior of marine creatures or even lead to an oil spill. The robots are designed to quickly and effectively detect changes in the environment.
Researchers are working on a robotic platform which uses reinforcement learning to train robots to be curious. The robot, which resembles the image of a child wearing an orange jacket with a green thumb, can be taught to recognize patterns which could signal a fascinating discovery. It also can make decisions about what it should do next based on the outcome of its previous actions. The results of the research could be used to develop an autonomous robot capable of learning and adapting itself to changing environments.
Researchers are also using robots to investigate parts that are too dangerous for humans to dive. For example, Woods Hole Oceanographic Institution (WHOI) has a fascinating robot named WARP-AUV. It is used to search for and research shipwrecks. The robot can recognize creatures living in reefs, and can distinguish semi-transparent jellyfish as well as fish from their dark backgrounds.
This is a feat of sheer brilliance considering that it takes a long time to train a human being to do this work. The brain of the WARP-AUV has been conditioned by feeding it thousands of images of marine life, so it is able to detect familiar species on its first dive. The WARP-AUV is a marine forensics device that can also send live images of sea life and underwater scenes to supervisors on the surface.
Other teams are working on creating robots with the same curiosity as humans. A team at the University of Washington's Paul G. Allen school of Computer Science & Engineering, for example, is exploring how robots can be taught to be curious about their surroundings. This team is part of a Honda Research Institute USA initiative to develop curious machines.
Remote Missions
There are many uncertainties that could lead to a mission failure. Scientists don't know how long a mission will last and how well components of the spacecraft work, or if any other objects or forces may interfere with spacecraft operation. The Remote Agent software is intended to reduce the uncertainty by performing many of the complicated tasks that ground personnel would carry out in the event that they were on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler as well as an executive. It also has models-based reasoning algorithms. The planner/scheduler creates a set of time-based and event-based activities known as tokens which are then delivered to the executive. The executive determines how to expand these tokens into an array of commands to be directly transmitted to the spacecraft.
During the experiment during the test, an DS1 crew member will be available to observe the progress of the Remote Agent and deal with any problems 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
Researchers aren't aware of the activities of sharks below the surface. However, scientists using an autonomous underwater vehicle known as SharkCam from REMUS are beginning to penetrate the blue barrier and the results are both astonishing and frightening.
The SharkCam Team, a group of scientists from Woods Hole Oceanographic Institution took the SharkCam which is a torpedo-shaped camera that was taken to Guadalupe Island to track and film white great sharks in their natural habitat. The 13 hours of video footage with the visuals of the acoustic tags attached to sharks provide a lot of information about their underwater behavior.
The REMUS sharkCam is manufactured by Hydroid in Pocasset MA, is designed to monitor the location of a tag without affecting their behavior or alarming them. It utilizes an ultra-short navigation device that determines the range, bearing and depth of the animal. Then it focuses on the shark self emptying cordless vacuum with a predetermined distance and location (left or right, above, below) and captures its swimming and interaction with its environment. It communicates with scientists at the surface every 20 seconds and can accept commands to change its speed, depth, or standoff distance.
When Roger Stokey, REMUS SharkCam developer Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark bagless robot vacuum researcher from Mexico's Marine Conservation Society, first envisioned tracking great whites with the best self emptying shark vacuum emptying shark robot vacuum (news)-propelled REMUS SharkCam torpedo, they worried that the torpedo would disrupt the sharks' movement and could even cause them to flee. Skomal together with his colleagues, reported in a recent article in the Journal of Fish Biology that the SharkCam survived despite nine bumps and a biting attack from great whites that weighed several thousand pounds over a week of research near the coast of Guadalupe.
The researchers interpreted the sharks' interactions with REMUS SharkCam, which had been recording and tracking the activity of four tagged sharks, as predatory behavior. They documented 30 shark 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 years But a new system can do it while tracking 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 withstand a pull-off force that is 340 times stronger than its own weight. It can also sense and alter its path according to the changes in objects around the home.
Autonomous Underwater Vehicles
Autonomous underwater vehicle (AUV) are robots that can be programmed to operate dependent on the design, can drift or drive through the ocean, without human-controlled control in real-time. They are equipped with a variety of sensors to record water parameters, and to explore and map the ocean's geological features, seafloor communities and habitats and much more.
They are usually controlled from a surface vessel using Wi-Fi or an audio link to send data back to the operator. The AUVS is able to collect spatial or temporal data and can be deployed as a large team to cover more ground faster than a single vehicle.
AUVs are able to use GPS and a Global Navigation Satellite System to determine where they are around the globe, and also how far they've traveled from their initial location. This information, combined with sensors in the environment that transmit information to computers onboard, allows AUVs follow their route without losing sight of their destination.
When a research mission is complete, the AUV will sink to the surface and be returned to the research vessel it was launched from. Alternatively an AUV that is resident can be submerged and conduct regular pre-programmed inspections for a period of months. In either case, the AUV will periodically surface to signal its location using an GPS signal or an acoustic beacon, which is transmitted to the surface ship.
Certain AUVs are able to communicate with their operators on a continuous basis via a satellite connection on the research vessel. Scientists can continue their experiments on the ship while the AUV gathers data underwater. Other AUVs can communicate with their operators at specific times. For example when they require to replenish their sensors or verify their status.
Free Think says that AUVs are not just used to collect oceanographic data but can also be used to search for underwater resources, such as minerals and gas. They can also be used for environmental disaster response to assist in rescue and search operations following oil spills or tsunamis. They can also be used to monitor subsurface volcanic activity and to monitor the health of marine life such as whale populations and coral reefs.
Curious Robots
Unlike traditional undersea robots, that are programmed to search for a single feature of the ocean floor, curious robots are designed to explore the surroundings and adapt to changing conditions. This is important, because the underwater environment is often unpredictable. For instance, if temperature of the water suddenly increases, it could change the behavior of marine creatures or even lead to an oil spill. The robots are designed to quickly and effectively detect changes in the environment.
Researchers are working on a robotic platform which uses reinforcement learning to train robots to be curious. The robot, which resembles the image of a child wearing an orange jacket with a green thumb, can be taught to recognize patterns which could signal a fascinating discovery. It also can make decisions about what it should do next based on the outcome of its previous actions. The results of the research could be used to develop an autonomous robot capable of learning and adapting itself to changing environments.
Researchers are also using robots to investigate parts that are too dangerous for humans to dive. For example, Woods Hole Oceanographic Institution (WHOI) has a fascinating robot named WARP-AUV. It is used to search for and research shipwrecks. The robot can recognize creatures living in reefs, and can distinguish semi-transparent jellyfish as well as fish from their dark backgrounds.
This is a feat of sheer brilliance considering that it takes a long time to train a human being to do this work. The brain of the WARP-AUV has been conditioned by feeding it thousands of images of marine life, so it is able to detect familiar species on its first dive. The WARP-AUV is a marine forensics device that can also send live images of sea life and underwater scenes to supervisors on the surface.
Other teams are working on creating robots with the same curiosity as humans. A team at the University of Washington's Paul G. Allen school of Computer Science & Engineering, for example, is exploring how robots can be taught to be curious about their surroundings. This team is part of a Honda Research Institute USA initiative to develop curious machines.
Remote Missions
There are many uncertainties that could lead to a mission failure. Scientists don't know how long a mission will last and how well components of the spacecraft work, or if any other objects or forces may interfere with spacecraft operation. The Remote Agent software is intended to reduce the uncertainty by performing many of the complicated tasks that ground personnel would carry out in the event that they were on DS1 during the mission.
The Remote Agent software system consists of a planner/scheduler as well as an executive. It also has models-based reasoning algorithms. The planner/scheduler creates a set of time-based and event-based activities known as tokens which are then delivered to the executive. The executive determines how to expand these tokens into an array of commands to be directly transmitted to the spacecraft.
During the experiment during the test, an DS1 crew member will be available to observe the progress of the Remote Agent and deal with any problems 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 SharkCamResearchers aren't aware of the activities of sharks below the surface. However, scientists using an autonomous underwater vehicle known as SharkCam from REMUS are beginning to penetrate the blue barrier and the results are both astonishing and frightening.
The SharkCam Team, a group of scientists from Woods Hole Oceanographic Institution took the SharkCam which is a torpedo-shaped camera that was taken to Guadalupe Island to track and film white great sharks in their natural habitat. The 13 hours of video footage with the visuals of the acoustic tags attached to sharks provide a lot of information about their underwater behavior.
The REMUS sharkCam is manufactured by Hydroid in Pocasset MA, is designed to monitor the location of a tag without affecting their behavior or alarming them. It utilizes an ultra-short navigation device that determines the range, bearing and depth of the animal. Then it focuses on the shark self emptying cordless vacuum with a predetermined distance and location (left or right, above, below) and captures its swimming and interaction with its environment. It communicates with scientists at the surface every 20 seconds and can accept commands to change its speed, depth, or standoff distance.
When Roger Stokey, REMUS SharkCam developer Roger Stokey, and Edgar Mauricio Hoyos Padilla, Pelagios Kakunja shark bagless robot vacuum researcher from Mexico's Marine Conservation Society, first envisioned tracking great whites with the best self emptying shark vacuum emptying shark robot vacuum (news)-propelled REMUS SharkCam torpedo, they worried that the torpedo would disrupt the sharks' movement and could even cause them to flee. Skomal together with his colleagues, reported in a recent article in the Journal of Fish Biology that the SharkCam survived despite nine bumps and a biting attack from great whites that weighed several thousand pounds over a week of research near the coast of Guadalupe.
The researchers interpreted the sharks' interactions with REMUS SharkCam, which had been recording and tracking the activity of four tagged sharks, as predatory behavior. They documented 30 shark 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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