In the area of mobile robotics, one of the foci has always been in motion planning. Almost 20 years ago, in 1991, Professor Jean-Claude Latombe authored a textbook, Robot Motion Planning. MotionLab has accomplished its own motion-planning results that are illustrated with the real system MotionMind/Swan, as presented on our motion planning pages.
What is the scientific foundation of of motion-planning technology?
It has been said that robotics is the science of controlling time and space. An examination of our Java programs in the MotionMind Engine, however, tells us that only about 1% of the Java code is related to time control: controlling speed v (= ds/dt) and rotational speed ω (= dθ/dt). Most of the MotionMind engine is devoted to controlling space, or to controlling the two-dimensional plane.
Thus, while developing the MotionMind Software System, Professor Kanayama realized that he would have to formulate a new geometry to appropriately describe, analyze, and solve real-world problems, including motion-planning problems. For more about this novel geometry, visit our Symmetric Geometry
page. Symmetric Geometry is
the scientific foundation for motion-planning technology.
The MotionMind engine "drives" Swan the way an experienced driver operates a car. Click HERE
for more about MotionMind/Swan's "driving" capabilities.
As one of the leaders in robotics, MotionLab has developed unique technology, including spatial-understanding capacity. Further, MotionLab has a long-range view of, and keen insight about the development of mobile robotics and the emerging mobile-robot industry. Click H-type & N-type
for MotionLab's take on the future of robotics.