The effects of distant and on-line visual information on the control of approach phase and step over an obstacle during locomotion One of the goals of this study was to examine the nature and role of distant visual information sampled during locomotion in the feedforward control of leading and trailing limb while an individual is required to step over an obstacle in In addition we were interested in whether or not on-line visual information available while the limb lead or trail is stepping over the obstacle influences limb trajectory control and whether the information provided during lead limb cross would be used to calibrate movement of the trail limb. Towards this end, we manipulated availability of vision following an initial dynamic sampling period during the approach phase in proximity to the obstacle and during the lead and trail limb stepping over the obstacle.
UAV offers a great advantage in supplying reconnais- sance data to the military personnel on the ground, thus lessening the life risk of the troops.
In this paper we analyze various techniques for path planning and obstacle avoidance and cooperation issues for multiple mobile robots. We also present a generic dynamics and control model for steering a UAV along a colli- sion free path from a start to a goal position. To better define motion planning problem we can decompose it into path planning and trajectory planning.
Path planning is taking care of the generation of obstacle free path taking into consideration geometric characteris- tics of obstacles and the kinematic constrains of the robot.
The basic mobile robot navigation can be divided into the following tasks: Among the mobile robot research society reactive behavior and planning behavior are often accepted as opposite approaches. The mobile robot must be able to act accord- ingly when unforeseen obstacles are found on the fly.
If the robot rely only on pure path planning the robot is prone to physical collision with an unforeseen obstacle. On the other hand without path planning, with the use of reactive obstacle avoidance method only it will be impossible for the robot to reach its goal location.
Considering the robot environment motion planning can be either static or dy- namic. We have static environment when the location of all the obstacles is known priori. Dynamic environment is when we have partial information about obstacles prior the robot motion.
The path planning in a dynamic environment is done first. When the robot follows its path and locates new obstacles it updates its local map, and changes the trajectory of the path if necessary.
The global techniques that involve path planning methods rely on availability of a topological map defining the robots workspace and obstacle location. He explains that the benefit from using path planning is that the entire path from start to goal can be planned, but this method is not suitable for fast collision avoidance due to its slow- ness cause by their complexity.
On the other hand the local approaches of using pure obstacle avoidance methods suffer from the inability to generate an optimal solution. Another problem is that when using local approach only the robots often get ensnared into a local minimum.
Because of these shortcomings, a reactive local approach rep- resenting obstacle avoidance cannot be considered feasible for dealing with robot navigation.
Due to the reason that there is not a single universal method that can deal with both problems we need to combine both obstacle avoidance and path planning techniques to develop a hybrid system combining reactive and deliberative ap- proaches overcoming the weakness of each of the methods.
The most common hybrid systems are comprised of three layers : Its decisions can be based on predefined data map or data learned from sensors.
It process com mands from the planning to the reactive layer. In that sense we can divide robot navigation problem into two sub tasks:the other hand without path planning, with the use of reactive obstacle avoidance method only it will be impossible for the robot to reach its goal location.
V. Kunchev et al. Download Citation on ResearchGate | Real-Time Obstacle Avoidance for Manipulators and Mobile Robots | This paper presents a unique real-time obstacle . The title, “Obstacle Avoidance for a Mobile Robot” well defines what this thesis is about, it is fairly easy o decide what is part of the thesis and what is not.
Obstacle Avoidance Robot A Major Qualifying Project Report Submitted to the Faculty of the project-based learning is an important part of learning an engineering discipline. obstacle avoidance is one of the most important applications of computer.
Abstract: The task of planning trajectories for a mobile robot has received considerable attention in the research literature. The problem involves computing a collision-free path between a start point and a target point in environment of known obstacles.
In this paper, we study an obstacle avoidance path planning problem using multi ant colony system, in which several colonies of ants. Obstacle avoidance refers to the ability of a robot to detect obstacles in its way if there are any and thus make its own obstacle free path.
The thesis deals with two .