"Aerial Assist" FIRST Robotics CompetitionThe University of Maryland hosted The Chesapeake Regional FIRST Robotics Competition in the Comcast Center on April 3-5, 2014. Check out the latest photos and get a quick recap of all the happenings in 2014 Chesapeake Regional competition.
We have a record number of 13 teams representing Maryland at the Championship. So, don't forget to catch the action of final's this Thrusday-Saturday live from St. Louis for the FIRST Championship.
About the Maryland Robotics Center
The Maryland Robotics Center is an interdisciplinary research center housed in the Institute for Systems Research within the A. James Clark School of Engineering. The mission of the center is to advance robotic systems, underlying component technologies, and applications of robotics through research and educational programs that are interdisciplinary in nature and based on a systems approach.
The center's research activities include all aspects of robotics including development of component technologies (e.g., sensors, actuators, structures, and communication), novel robotic platforms, and intelligence and autonomy for robotic systems. The center consists of faculty members spanning the following academic departments: Aerospace Engineering, Bioengineering, Biology, Civil and Environmental Engineering, Computer Science, Electrical and Computer Engineering, Kinesiology and Mechanical Engineering. Research projects in the center are supported by the major federal funding agencies including NSF, ARO, ARL, ONR, AFOSR, NIH, DARPA, NASA, and NIST.
Current research areas
. Collaborative, Cooperative, Networked Robotics: bio-inspired robotics concepts, time-delayed robotics, robotic swarms, robotic cooperation under limited communication, and distributed robotics.
. Medical Robotics: MRI-compatible surgical robotics, haptics-enabled AFM, exoskeletons for rehabilitation, and magnetic micromanipulation for drug delivery.
. Miniature Robotics: mesoscale robots; bio-inspired sensing, actuation, and locomotion; cell manipulation (optical, AFM based, and micro fluidics); and micro and nano manipulation (optical and magnetic).
. Robotics for Extreme Environments: space robotics and autonomous deep-submergence sampling systems.
. Unmanned Vehicles: micro air vehicles, unmanned sea surface vehicles, unmanned underwater vehicles, and planetary surface rovers.
Imitation Learning of Motion Parameters for Dynamic Manipulation Tasks
This video presents an imitation learning approach for a ?uid pouring task, which consists of grasping a bottle containing a ?uid and pouring a speci?ed amount of the ?uid into a container placed on a rotating table. The robot learns how to do this task from human demonstrations.
Browse more than 100 robot videos available on our YouTube channel