We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
Vision feedback control loop techniques are efficient for a great class of applications but they come up against difficulties when the initial and desired positions of the camer...
— This paper is concerned with path planning for an autonomous flight vehicle operating in a steady, uniform flow-field. We model the vehicle as a particle that travels in the...
Laszlo Techy, Craig A. Woolsey, Kristi A. Morganse...
We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of t...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
Abstract— Many planning approaches adhere to the twotiered architecture consisting of a long-range, low fidelity global planner and a short-range high fidelity local planner. W...