This paper investigates worst-case analysis of a moving obstacle avoidance algorithm for unmanned vehicles in a dynamic environment in the presence of uncertainties and variations. Automatic worst-case search algorithms are developed based on optimization techniques, illustrated by a Pioneer robot with a moving obstacle avoidance algorithm developed using the potential field method. The uncerta...

Initial results of an ongoing research in the field of reactive mobile autonomy are presented. The aim is to create a reactive obstacle avoidance method for mobile agent operating in dynamic, unstructured, and unpredictable environment. The method is inspired by the stimulus-response behavior of simple animals. An obstacle avoidance controller is developed that uses raw visual information of th...

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...

Remote labs are increasingly being used as an effective tool for letting students practicing with real experiments, with limited effort and cost. A multi-robot setup, based on the LEGOMindstorms technology and the Matlab environment, allowing students to experiment with real robots through the Internet, has been developed. In this paper, a novel feature of this setup is presented. The concept o...

In this paper, we present a novel methodology to perform collective transport in the presence of obstacles. Three robots are physically connected in a semicircle around an object to be transported from a start to a goal location. The task poses two main challenges. First, the presence of both a goal and obstacles requires appropriate negotiation of the direction among the members of the group. ...

This paper presents WOAH, a method for real-time mobile robot path following and obstacle avoidance. WOAH provides reactive speed and turn instructions based on obstacle information sensed by a laser range finder. Unlike many previous techniques, this method allows a robot to move quickly past obstacles that are not directly in its path, avoiding slowdowns in path following encountered by previ...

In order to solve the problems of obstacle avoidance planning and trajectory optimization unmanned platform in hilly orchards, this paper proposes a dynamic algorithm based on Gaussian probability model predict behavior. The technical route method theoretical derivation-algorithm design-simulation analysis-real vehicle testing are both adopted. Firstly, global reference path orchard is optimize...

We investigate how the use of haptic feedback through electrical muscle stimulation (EMS) can improve collision-avoidance in a robot teleoperation scenario. Background: Collision-free requires extensive situation awareness by operator. This is difficult to achieve purely visually when obstacles exist outside robot’s field view. Therefore, from other sensory channels be beneficial. Method: compa...