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DTSTAMP:20240607T063121
DTSTART;TZID=America/Detroit:20240523T110000
DTEND;TZID=America/Detroit:20240523T170000
SUMMARY:Careers / Jobs:DOD Civilian Careers Virtual Career Fair
DESCRIPTION:Join us for an electrifying journey into the world of cutting-edge technology. Dive into innovation\, engage with industry leaders\, andunlock exclusive opportunities. Chart your course towards a career brimming with potential in: \n\n	General Engineering\n\n	Electrical Engineering\n\n	Computer Engineering\n\n	Interdisciplinary Engineering\n\n	Information Technology\n\n	Chemistry\n\n\nBe part of a team spearheading global change - seize this opportunity to shape the future landscape with the DoD. \n
UID:122185-21848425@events.umich.edu
URL:https://events.umich.edu/event/122185
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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DTSTAMP:20240517T081623
DTSTART;TZID=America/Detroit:20240523T110000
DTEND;TZID=America/Detroit:20240523T130000
SUMMARY:Presentation:Efficient Modeling of Multi-Legged Locomotion with Slipping
DESCRIPTION:Chair: Shai Revzen\n\nAbstract:\nMulti-legged robots with six or more legs have designs with great stability and maneuverability using a low number of actuators. With more legs in contact with the ground\, it becomes harder and unnecessary to ensure that they all move in compatible ways to ensure non-slip contact\, and slipping becomes inevitable in our robots. Modeling multi-legged motion with slipping and producing reliable predictions of body velocity is challenging and computationally expensive. In this work\, we investigated an algorithm that allows us to efficiently model body velocity and ground contact forces given robot shape and shape-changing velocity. This algorithm relies on previous experimental observations showing that even while slipping\, multi-legged robots are principally kinematic\, where body velocity could be computed through a linear local connection from the shape-changing velocity. This tool scaled well with an increasing number of legs without losing accuracy. We applied our algorithm towards modeling multiple robots with different morphology and different gaits\, together with predicting 3-dimensional ground contact forces. Further extension of this model enabled its usage on stairs or slopes. The simplicity of the model led to easy parallelization and motion planning of the robot’s behaviors on GPU. Analysis of the modeling residual term led to a simple and data-efficient sim-to-real transfer to unmodeled robot dynamics.
UID:122206-21848459@events.umich.edu
URL:https://events.umich.edu/event/122206
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Electrical Engineering and Computer Science,Michigan Engineering,Michigan Robotics,Robotics
LOCATION:Ford Robotics Building - 2300
CONTACT:
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