Our first system is a mobile robot which uses its wheels for manipulation as well as for locomotion. Imagine a small car planting its front wheels on a piece of paper, and using the rear wheels to drive the robot and the paper around. At the same time, if the front wheels are powered, the robot could use them to manipulate the paper. Mobipulator's first step. 708K RC mobipulator in hand.
Robots typically use static and quasistatic methods to interact with the world.
People, on the other hand, are adept with dynamic methods. Some scientists, notably Bill Calvin , have argued that the evolution of the human brain was driven by the challenges of accurate throwing. It is an interesting challenge to model-based robotics to develop robots that can exploit the dynamics of a task domain. Each of them is planned automatically using information about the object such as its shape and mass, and also with a good model of the dynamic behavior of our arm. Usually we think of robots moving things around by picking them up, but pushing is sometimes better.