Category: ROBOT VIDEOS

DARPA's Robotic Suspension System - M3 Program

DARPA’s Robotic Suspension System – M3 Program – 11035

The use of ground robots in military explosive-ordinance-disposal missions already saves many lives and prevents thousands of other casualties. If the current limitations on mobility and manipulation capabilities of robots can be overcome, robots could potentially assist warfighters across a greater range of missions. DARPA’s Maximum Mobility and Manipulation (M3) program seeks to create and demonstrate significant scientific and engineering advances in robot mobility and manipulation capabilities.

Festo - Molecubes

Festo – Molecubes – 11033

Molecubes could play a significant role in technical training in the near future. These cubes, fitted with computer chips, can be successively attached to each other. Each Molecube communicates with all the other cubes; the energy supply and transmission of signals from one Molecube to the next are thereby ensured. Young people can use the Molecubes to build and program their own robots.

Modular Robot - iMobot - Barobo, Inc.

Modular Robot – iMobot – Barobo, Inc. 11032

See more at http://www.barobo.com. iMobot is an Intelligent Modular Robot designed for college and university teaching and research. It has four controllable degrees of freedom. The faceplates can turn continuously so an individual module is able to drive as though with wheels. This significantly increases the mobility of each module, allowing it to traverse a wide variety of terrain without an overcomplicated physical shape.

Artistic pattern formation with multiple robots

Artistic pattern formation with multiple robots – Robot Swarm 11031

Arbitrary target patterns are represented with an optimal robot deployment, using a method that is independent of the number of robots. Furthermore, the trajectories are visually appealing in the sense of being smooth, oscillation free, and showing fast convergence. A distributed controller guarantees collision free trajectories while taking into account the kinematics of differentially driven robots. Experimental results are provided for a representative set of patterns, for a swarm of up to ten differentially-driven robots, and for fifty virtual robots in simulation.