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Path planning is an important part in Mobile robot researches. For the characteristics of mobile environment, it builds two kind of environment models including obstacle environment and barrier free environment. On the basis of the model, TSP model is a traditional template for path planning with kinds of intelligence algorithm. This paper introduces an improved colony algorithm and it performs well...
This paper has analysed the most commonly used three bounding representation for robot links at the beginning. After that, the advantages of hierarchical structure and Octree data structure are presented. Moreover, this paper has proposed an Octree-based Spherical Representation which has both of the advantages of Octree structure and spherical bounding representation. Two main parts of the proposed...
People tracking and following has become an increasing popular topic in recent years. The ability of robots to track the people in the surroundings is essential to many real life applications such as museum guidance, office or library assistance. Another aspect of human-robot interaction is the robot's ability to follow a human target. There are various scenarios where instructions, such as holding...
A new control algorithm for a hyper-redundant manipulator, which moves in a labyrinth and can touch the boundaries of the niche, is presented in this paper. The collisions or contacts are part of the task. The support-points from the walls help with the moving process. Initially, a study of the hyper-redundant locomotion by creeping and climbing is achieved. Also, the dynamic model by Lagrange method...
In this paper, we propose a view planning method that plans view points for efficient 3D map building by a mobile robot equipped with two LRFs (laser range finders). The robot searches for effective view points by predicting new measurement domains in the next view points, and then measures distances to obstacles around the robot with LRFs. The 3D map is generated by integrating range information...
Recently, a coordinated hybrid agent (CHA) framework was proposed for the control of multi-agent systems (MASs). In the past few years, it has been applied to both homogeneous and heterogeneous multi-agent systems. In previous studies, the coordination among agents were implemented based on the designerpsilas knowledge of the system. For large complex systems, it would be desirable if we can plan...
This paper presents two modeling approaches for a cooperative control problem for a homogeneous team of robots acting on a cellular two-dimensional space which includes targets and obstacles. First a combinatorial assignment and scheduling approach is used to generate collision free trajectories for the robots. The second approach formulates the optimization problem of finding collision free and optimal...
Regrasp operations consist of a sequence of pick-and-place operations, which are very useful to avoid collisions with the environment and to overcome the kinematic limitations in some cases. In this work, we propose an automatic planning system for regrasp operations for a multifingered robotic hand. The stable planes of the object to be grasped are automatically found. The minimal angle allowed to...
The problem of designing control schemes for teams of robots to satisfy complex high-level tasks is a challenging problem which becomes more difficult when adding constraints on relative locations of robots. This paper presents a method for automatically creating hybrid controllers that ensure a team of heterogeneous robots satisfy some user specified high-level task while guaranteeing collision avoidance...
This paper proposes multiple self-organizing maps (SOMs) for control of a visuo-motor system that consists of a redundant manipulator and multiple cameras in an unstructured environment. The maps control the manipulator so that it reaches its end-effector to targets given in the camera images. Also the maps make the manipulator take obstacle free poses. Multiple cameras are introduced to avoid occlusions...
In this article, we propose the use of a Sigma - Delta modulation approach combined with an appropriate dualization of generalized proportional integral (GPI) control strategies for the design of observers undergoing switched output injections, as in remote state estimation cases. The class of switched injection sliding observers inherit their robustness with respect to un-modeled perturbation inputs...
The paper presents a solution for formation flight and formation reconfiguration of unmanned aerial vehicles (UAVs). Based on a virtual leader approach, combined with an extended local potential field, it is universal applicable by driving the vehiclepsilas auto pilot. The solution is verified, using a group of UAVs based on a simplified small-scale helicopter, which is simulated in MATLABtrade/Simulinktrade...
In a companion paper we have presented a practical formation motion control scheme for robotic swarms based on single view depth estimation. In this paper we adapt this control scheme to the cases where there are obstacles to be avoided in the region of interest. First, a set of distributed control laws for the agents, to be incorporated with depth (distance) estimation scheme, are introduced to move...
A simple direct method able to generate time-optimal trajectories for a micro quadrotor helicopter is presented. It is based on modeling the quadrotor trajectory as a composition of a parametric function P(lambda) defining the quadrotor path, and a monotonically increasing function lambda(t), specifying the motion on this path. The optimal evolutions of P(lambda) and lambda(t), which are approximated...
In recent years there has been a great effort to convert the existing air traffic control system into a novel system known as Free Flight. Free Flight is based on the concept that increasing international airspace capacity will grant more freedom to individual pilots during the enroute flight phase, thereby giving them the opportunity to alter flight paths in real time. Under the current system pilots...
The maximum-area coverage problem over a free time interval with a team of cooperating robots is considered in this article. This area resides in a cellular rectangular environment in which there are obstacles. The robots detect the obstacles during their motion which is constrained in a finite set of maneuvers (left, right, forward, and backward). The uncovered but detected (by the sensors) area...
This article describes the use of predictive control for the decentralized cooperative control of unmanned aerial vehicles in an unfamiliar three-dimensional environment. It is assumed that each vehicle is equipped with an autopilot and a trajectory control unit. The autopilot insures the stability of the vehicle. The setpoints of the autopilot are calculated by the trajectory control unit, thus forming...
This paper presents a new technique for moving-obstacle avoidance generating online piecewise Bezier curves. Briefly, this technique consists in calculating a new trajectory for the robot if a safety distance is not respected; otherwise the robot follows a straight line to its objective. The piecewise Bezier curve is generated on line with significant control points, one of which is used to avoid...
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