The look ahead distance represents how far ahead of the vehicle we are planning during any cycle. Once this goal point is selected, we laterally offset additional goal points from the selected way ...

Motion planning for high degrees of freedom system is difficult problem which is require sophisticated approaches and computational powerful equipment, since search problem in high dimensions has large ...

In this letter, we propose a motion planner based on A $^*$ search specifically designed for soft growing manipulators operating on predetermined static tasks. Furthermore, we implemented a stochastic ...

We also study the motion planning problem. Motion planning aims to determine a collision-free motion for a moving entity in an environment with obstacles from an initial placement to a goal placement.

Abstract: Probabilistic and deterministic planners are two major approximate-based frameworks for solving motion planning problems. Both approaches have their own advantages and disadvantages. In this ...

We review some algorithms for clever path planning once we arrive in real-valued continuous space instead of the safe and warm discrete space we've been sheltering in so far. We look at configuration ...

The above lectures are a compilation of work based on notes and slides from Greg Hager, G. Ayorkor Mills-Tetty, Hyungpil Moon, Zack Dodds, Nancy Amato, Steven Lavalle, Seth Hutchinson, George Kantor, ...