Search
Now showing items 1-4 of 4
A Novel Continuum Manipulator
(2015-09-21)
We address the problem of controlling continuum manipulators and evaluate Reinforcement Learning to produce a control policy for a robotic platform. Our approach discretizes the state and action spaces to reduce the training ...
Medial-Axis Biased Rapidly-Exploring Random Trees
(2012-05-09)
RRTs (Rapidly-Exploring Random Trees) have shown wide applications in robotics.
RRTs are a type of sampling-based motion planners
that expand to fill the space starting from one or more root configurations.
RRTs are excellent ...
TOGGLE PRM: A SIMULTANEOUS MAPPING OF CFREE AND COBSTACLE FOR USE IN PROBABILISTIC ROADMAP METHODS
(2011-04-14)
Motion planning for robotic applications is difficult. This is a widely studied problem
in which the best known deterministic solution is doubly exponential in the dimensionality
of the problem. A class of probabilistic ...
Real-Time Classification of Road Conditions
(2015-09-03)
Common navigation algorithms like A* or D* Lite rely on costs to determine an optimal path. Costs may incorporate distance, time, or energy consumption; however, they can include anything that affects travel along a path. ...