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Autonomous steering control is the principal task in the development of an intelligent transportation system. This research paper proposes a novel approach for vision based intelligent control of unmanned vehicles. The paper addresses the problems of accurate and efficient intelligent vehicle control by incorporating a well known evolutionary algorithm cAnt-Miner. The uniqueness of the proposed algorithm...
In cluttered state space, agent is very likely to become trapped in these enclosures formed by obstacles. We proposed an approach to discover the openings of enclosures based the state trajectories that agent moved, then the openings of enclosures are closed by virtual obstacles to avoid agent entering these enclosures again in subsequent learning. Since large amount of episodes are included in learning...
In this paper a new approach is proposed to find an approximate solution for nonlinear path planning problem. In this approach, first a new problem is defined in the calculus of variations which is equivalent to the original problem. The new problem can be expressed as an optimal control problem by introducing slack variable. Then a metamorphosis is performed in the space of problem by defining an...
Path planning of spherical robots is usually carried out based on a continuous motion. However, actuators such as stepping motors are driven by discrete input signals that generate motion in rotational steps. The results would therefore be different from the continuous path planned for the spherical robot. The spherical robot under study incorporates two stepping motors, which generate the rotation...
Humanoid robots are envisioned in general household tasks. To be able to fulfill a given task the robot needs to be equipped with knowledge concerning the manipulation and interaction in the environment and with knowledge about its own capabilities. When performing actions, e.g. opening doors or imitating human reach to grasp movements special 3-d trajectories are followed with the robot's end-effector...
In this paper, we consider the control system ?? defined by the rolling of a strictly convex surface S on a plane without slipping or spinning. It is well known that ?? is completely controllable. The purpose of this paper is to present the numerical implementation of a constructive planning algorithm for ??, which is based on a continuation method. The performances of that algorithm, both in robustness...
For a right-invariant and controllable driftless system on SU(n), we consider a time-periodic reference trajectory along which the linearized control system generates su(n): such trajectories always exist and constitute the basic ingredient of Coron's return method. The open-loop controls that we propose, which rely on a left-invariant tracking error dynamics and on a fidelity-like Lyapunov function,...
In this paper, we extend the globally convergent steering algorithm for regular nonholonomic systems presented in to a much larger class of systems which contain singularities. This extension is based on the construction of a continuous first order approximation of the control system. We also propose an exact motion planning method for nilpotent systems. The method makes use of sinusoidal control...
This paper presents path planning algorithms using Rapidly-exploring Random Trees (RRTs) to generate paths for multiple unmanned air vehicles (UAVs) in real time, from given starting locations to goal locations in the presence of static, pop-up and dynamic obstacles. Generating non-conflicting paths in obstacle rich environments for a group of UAVs within a given short time window is a challenging...
We consider a variation of the classical Markov-Dubins problem dealing with curvature-constrained, shortest paths in the plane with prescribed initial and terminal positions and tangents, when the lower and upper bounds of the curvature are not necessarily equal. The motivation for this problem stems from vehicle navigation applications when the vehicle may be biased in taking turns at a particular...
In this paper, the quadratic-programming (QP) based scheme-formulation is employed to handle the joint-angle-drift problem of a redundant three-link planar robot arm with its end-effector moving along different types of trajectories (e.g., a Lissajous-figure path, a triangular path and an elliptical path). The physical constraints such as joint limits and joint velocity limits are considered as well...
Multi agent systems are being applied to a wide range of applications from territorial explorations to unmanned combat missions. Agents operate as distributed problem solvers and work together to accomplish the tasks in the system. Various control frameworks have been developed for execution of tasks by agents in the system. Control frameworks consider that the agents are aware of their tasks and...
This paper proposes an algorithm for regrasp planning of 2D and 3D discrete objects, such that the regrasp trajectory ensures a force-closure (FC) grasp while the regrasp motion is performed. The approach takes advantage of a method that quickly explores the grasp space, and relies on the use of independent contact regions and non-graspable regions, which provide large regions of the FC or non-FC...
Two layers reaction-diffusion cellular neural networks (RDCNN) are used for studying the formation of spatial and oscillatory patterns on the plane. In last years, computation based on waves has been used for applications such as synchronicity and navigation with walking mini-robots. Two RDCNN are used for controlling navigation with auto-waves. The first RDCNN emits attractive waves from the objective,...
For an autonomous vehicle navigating in a static environment for which an a priori map is inaccurate, we propose a hybrid receding horizon control method to determine optimal routes when new obstacles are detected. The hybrid method uses the level sets of the solution to either a global or local Eikonal equation in the formulation of the receding horizon control problem. Whenever an obstacle is detected...
Coordination of autonomous non-point agents is studied in this work. Interactions between vehicles together with their internal dynamics have been modeled as a continuous, unconstrained differential game. In particular, collision prediction is shown to be achievable in a cooperative scheme through solving the boundary value equation associated with the dual problem. Optimal control formulation has...
Most autonomous mobile agents operate in a highly constrained environment. Despite significant research, existing solutions are limited in their ability to handle heterogeneous constraints within highly dynamic or uncertain environments. This paper presents a novel maneuver selection technique suited for both 2D and 3D environments with highly dynamic maneuvering constraints and multiple mobile obstacles...
It is the primary responsibility of the airline pilot to safely complete a flight plan and safely land the airplane. This task can become very difficult in the face of an onboard emergency. One of the challenging tasks faced by the pilots in case of an emergency is the determination of an appropriate landing site as well as the development of a safe trajectory to reach that site. An Automated Planning...
To improve the flexibility of robotic learning, it is important to realize an ability to generate a hierarchical structure. This paper proposes a learning framework which can dynamically change the planning space depending on the structure of tasks. Synchronous motion information is utilized to generate modes and different modes correspond to different hierarchical structure of the controller. This...
Humans have unique motion preferences when pursuing a given task. These motion preferences could be expressed as moving in a straight line, following the wall, avoiding sharp turns, avoiding damp surfaces or choosing the shortest path. While it would be very useful for a range of applications to allow robot systems or artificial agents to generate paths with similar specific characteristics, it is...
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