Alum Xiaobo Tan developing robotic fish to 'stalk' real fish in the Great Lakes
The “Grace” robot, (short for Gliding Robot ACE), is a hybrid of an underwater glider and a robotic fish, and is both energy-efficient and highly maneuverable. It will be equipped with receivers that will detect the presence of fish implanted with acoustic-transmitting tags.
Grace will track the movements of lake trout, walleye and lake sturgeon to identify important habitats, understand why they move from one place to another, and how they are being affected by invasive species such as sea lampreys.
“Basically the robots will form an equivalent of a GPS satellite network underwater, to localize and follow tagged fish in their vicinity,” Tan says.
Tan is also working with Associate Professor Derek Paley (AE/ISR); Associate Professor Sean Humbert (AE); and Professor Sheryl Coombs of Bowling Green State University on bio-inspired flow sensing and control for autonomous underwater vehicles. The goal is to create an autonomous underwater vehicle that can find stationary objects by changes in water flow, and can also work in groups.
In September, Tan returned to Maryland to give a Maryland Robotics Center Lockheed Martin Robotics Seminar on “(Gliding) Robotic Fish: Swim or Not Swim.” You can watch the video of his presentation here.
Alum Xiaobo Tan named 'Foundation Professor' at Michigan State
Robotic fish research profiled in Baltimore Sun
Alumnus Fumin Zhang promoted to full professor at Georgia Tech
Alumnus Xiaobo Tan elevated to IEEE Fellow
Alum Dimitris Tsakiris improves propulsion of robotic octopus
Alum Xiaobo Tan improves robotic fish
Alum Xiaobo Tan's research featured in NSF Highlight
Alumni Naomi Leonard and Xiaobo Tan part of public lecture on underwater robotics
Synchronized swimming: How startled fish shoals effectively evade danger
Small collectives and nonlinear dynamics
September 29, 2014