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Nano Quadrotor Swarm

Nano Quadrotor Swarm

The GRASP (robotics and automation) lab at Univ Penn is doing some fascinating work with swarms of small flying quadrotors.

A Swarm of Nano Quadrotors – [youtube.com]
VIDEO

Experiments performed with a team of nano quadrotors at the GRASP Lab, University of Pennsylvania. Vehicles developed by KMel Robotics. Special thanks to Professor Daniel Lee for his support.

Swarming Quadrotors Get Nano-ized – [ieee.org]

The GRASP Lab at the University of Pennsylvania is already famous for its quadrotor tricks, including bots that can fly through windows and hula hoops, build structures, and even land on each other. Now, those big bad quadrotors have been shrunk down into much smaller “nano quadrotors,” and the GRASP Lab has been playing around with lots of them.

GRASP – [upenn.edu]

About GRASP
The General Robotics, Automation, Sensing and Perception (GRASP) Laboratory integrates computer science, electrical engineering and mechanical engineering in a vibrant, collaborative environment that fosters interactions between students, research staff and faculty. GRASP has grown into a $10 million research center with impressive technological innovations. Pioneering GRASP researchers are building autonomous vehicles and robots, developing self-configuring humanoids, and making robot swarms a reality. Our doctoral students are trained in theory and practice and mentored to become leaders in research and education. The graduates of the interdisciplinary Master’s in Robotics program are uniquely equipped to face research and development challenges of the fast-growing robotics industry.We invite you to visit the GRASP lab to experience the future of robotics research and education.

SWARMS – [swarms.org]
Scalable sWarms of Autonomous Robots and Mobile Sensors (SWARMS) project.

The SWARMS project brings together experts in artificial intelligence, control theory, robotics, systems engineering and biology with the goal of understanding swarming behaviors in nature and applications of biologically-inspired models of swarm behaviors to large networked groups of autonomous vehicles. Our main goal is to develop a framework and methodology for the analysis of swarming behavior in biology and the synthesis of bio-inspired swarming behavior for engineered systems. We will be interested in such questions as: Can large numbers of autonomously functioning vehicles be reliably deployed in the form of a “swarm” to carry out a prescribed mission and to respond as a group to high-level management commands? Can such a group successfully function in a potentially hostile environment, without a designated leader, with limited communications between its members, and/or with different and potentially dynamically changing “roles” for its members? What can we learn about how to organize these teams from biological groupings such as insect swarms, bird flocks, and fish schools? Is there a hierarchy of “compatible” models appropriate to swarming/schooling/flocking which is rich enough to explain these behaviors at various “resolutions” ranging from aggregate characterizations of emergent behavior to detailed descriptions which model individual vehicle dynamics?

SEE ALSO:
Microbot Swarms
Cheap Kilobot Swarms
Personal Aerial Drones

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