This paper deals with nonholonomic motion planning including obstacle avoidance capabilities. We show that the methods developed in absence of obstacles can be extended to the problem of obstacle avoidance, provided that they verify a topological property. Such steering methods allow us to design exact and complete collision-free path planners for a large family of systems. We show that the ste...

This paper presents a practical solution to the guidance of a unicycle type robot, including path following, obstacle avoidance and the respect of wheeled actuation saturation constraint, without planning procedure. These results are based on an extension of previous results on path following control including actuation saturation constraints. New solution for obstacle avoidance, with guarantee...

P r ~ i o u s LUC of arr$cial pountiab has dononraolcd the need for an oinmcle moidwue p o r e d that closely mo&L he obstacle. ye1 docr not pnworr lord minim0 in the wontrpocc of rhr manipuhror. Recentty we proposed a new ellipticd porcrdolfwvrion which &fis hesc rcquirenunu for rectongrhu objects in spherically synuncrric amocdvc wells. In rhir paper we present a ntw obstacle avoidwue porenri...

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In this paper, we present a novel method for performing collective transport in the presence of obstacles. Three robots are physically connected to an object to be transported from a start to a goal location. The task is particularly challenging because the robots have a heterogeneous perception of the environment. In fact, the goal and the obstacles can be perceived only by some of the robots....

Given the a priori knowledge of the environment and the goal position, mobile robot navigation refers to the robot’s ability to safely move towards the goal using its knowledge and the sensorial information of the surrounding environment. Even though there are many different ways to approach navigation, most of them share a set of common components or blocks, among which path planning and obsta...

A robotic intelligent wheelchair system based on obstacle avoidance and navigation functions Mohammed Alshraideh, Basel A. Mahafzah, Saleh Al-Sharaeh & Ziad M. Hawamdeh a Department of Computer Science, King Abdullah II School for Information Technology, The University of Jordan, Amman 11942, Jordan b Department of Special Surgery, Faculty of Medicine, The University of Jordan, Amman 11942, Jor...

The obstacle avoidance problem has been a well researched topic by many robotics researchers. We focus on one popular solution to this problem, the Curvature-Velocity Method(CVM). In Simmons’ original paper [5], differentially steered (DS) robots where not considered thoroughly. This paper presents a variation on CVM, specifically designed for DS robots. We show comparable results to that of Si...

In this paper a reactive and concurrent control framework for viewpoint control is developed. The viewpoint control task is decomposed into three control objectives namely; obstacle avoidance, visibility and precision. A moving object is tracked in two panoramic sensors using color, and a scalar uncertainty metric of the object position estimate is introduced. Individual control objectives are ...

Learning by observation allows a software agent to learn an expert’s behaviour, by examining the actions the expert performs in response to inputs, without the expert having to explicitly program the agent. Most learning by observation approaches only make use of the current inputs and actions of the expert and ignore any past inputs or actions. This limits the agents to only being able to lear...