Pre-programmed flight routes stored on a computer specify the path taken by the 20.5-ounce (580-gram) BionicFlyingFox as it performs its maneuvers.
Starting and landing are performed by the human operator an autopilot takes over during flight. To let the BionicFlyingFox move semi-autonomously within a defined space, the robot communicates with a motion-tracking system, which in turn plans the flight paths and issues commands. To emulate the flying fox, among the world’s largest bats, the wing kinematics of the BionicFlyingFox are divided into primaries and secondaries with all the joints in the same plane. Flying robot uses machine learning to choose flight path This autonomous and safe navigation needed the development of compact, efficient, and waterproof or water-resistant components that can be coordinated and regulated by means of appropriate software. Pressure and ultrasound sensors constantly register the BionicFinWave’s distance to the walls and its depth in the water, which prevents collisions with the tube system. Other geometrically complex BionicFinWave components are also 3D printed this helps keep weight down. Integrated crankshafts, joints, and piston rod are 3D printed from plastic. The BionicFinWave moves upwards or downwards by bending its body in the target direction. The BionicFinWave’s two lateral fins are molded from silicone and can move independently to generate different wave patterns (or swim in a curve). While it moves through tube systems, the robot also communicates via radio to share temperature and pressure sensor readings to nearby I/O. The fin drive unit is particularly suitable for slow and precise motion … and causes less turbulence in the water than conventional screw-propulsion drives. Undulation forces from longitudinal fins also let the BionicFinWave maneuver itself forward or backward. Knowledge gained in this project could also find use in the manufacture of soft-robotics components. Swimming autonomous robots such as the BionicFinWave could eventually find practical application in inspection, measurement, and data acquisition in water, wastewater, and other process industries. Its propulsion mode lets the underwater robot autonomously maneuver through water-filled acrylic tubing. Deft underwater navigation by soft-finned robotįor the 15-oz BionicFinWave, the Festo Bionic Learning Network team found inspiration in the undulating fin movements of marine animals such as the polyclad and cuttlefish. The robot rolls faster than it walks and can roll up a 5% incline. An inertial sensor lets the robot track its current pose so it accurately times its next push-off sequence. Two lower-middle legs are folded up during walking then extend and push the rolled-up spider off the ground to propel it forward.
To start rolling, the BionicWheelBot bends three legs on each side of its body to form a wheel. Just like living flic-flac spiders, the Festo BionicWheelBot propels itself with a tripod gait using six of its eight legs to walk. Males and females are similarly colored white with black scopulae on their ventral legs, and yellow coloring on their dorsal opisthosoma and femora.The biological model for the BionicWheelBot is the flic-flac spider Cebrennus rechenbergi) - a species that lives in the Erg Chebbi desert on the edge of the Sahara. rechenbergi as a medium-sized huntsman spider. After observing small variations in the genitalia of the two species and noticing the distinctive flic-flac motion of the spider, Jäger confirmed its status as a new species. It was initially confused with the Tunisian spider Cebrennus villosus, but later identified as a separate species by Peter Jäger of the Senckenberg Nature Research Society. Rechenberg may have first encountered the spider on a trip to Morocco as early as 2006, but it was not until 2008 that he collected the first specimen. The spider is named after its discoverer, Ingo Rechenberg, bionics professor at the Technische Universität Berlin.
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