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Here is how to explore real-time controllers and create better robots. Robotics is a resource-intensive field, especially ...
The Beijing Innovation Center for Humanoid Robotics recently released the motion control algorithm framework of the Beijing half-marathon champion robot " Tien Kung," filling a gap in the open-source ...
Instead of each robot broadcasting to every other robot a complete map of safe space around it, the decentralized algorithm has robots only share maps with their immediate neighbors and also has ...
Second, robot control algorithms can be broken down into two categories: reactive and planning. Reactive algorithms are like your reflexes: they react instantaneously to the current situation in a ...
Rigid robots' finite array of joints and limbs usually makes for manageable calculations by the algorithms that control mapping and motion planning. Soft robots are not so tractable.
Adaptive robot evolution. Traditional robot control algorithms, relying on precise mathematical models and predefined motion planning, have long demonstrated effective locomotion, as seen with ...
MIT CSAIL researchers have developed a control method, Conduct-A-Bot, that uses muscle sensors and motion detection for more ‘natural’ robot control. Algorithms detect gestures using both your ...
Much has been written about the University of Michigan's MABEL robot, how it walks and runs more like a human than any previous robot, and how it's setting a pace for other robots to emulate.
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