1.1 Trajectory planning This chapter is a contribution to the field of Artificial Intelligence. Artificial Intelligence can be defined as the study of methods by which a computer can simulate aspects of human intelligence (Moravec, 2003). Among many mental capabilities, a human being is able to find his own path in a given environment and to optimize it according to the situation requirements. ...

Trajectory planning is a fundamental issue for robotic applications and automation in general. The ability to generate trajectories with given features is a key point to ensure significant results in terms of quality and ease of performing the required motion, especially at the high operating speeds necessary in many applications. The general problem of trajectory planning in Robotics is addres...

Planning a path for a nonholonomic robot is a challenging topic in motion planning and it becomes more difficult when the desired path contains narrow passages. This kind of scenario can arise, for instance, when quadcopters search a collapsed building after a natural disaster. Choosing the quadcopter as the target platform, this paper proposes the Kinodynamic Aggressive Trajectory (KAT) motion...

This paper describes an integrated path planning and tracking control framework for autonomous verticaltake-off-and-landing (VTOL) vehicles, specially a quadrotor. The path planning adopts a receding horizon strategy to repeatedly plan a local trajectory that satisfies the vehicle dynamics and obstacle avoidance requirement. A tracking controller is then designed to track the optimised path. Th...

In this work, we consider the design of a probabilistic trajectory planner for a highly maneuverable unmanned air vehicle flying in a dense and complex city-like environment. Our design hinges on the decomposition of the problem into a) flight controls of fundamental agile-maneuvering flight modes and b) trajectory planning using these controlled flight modes from which almost any aggressive ma...

Several evolutionary algorithms have been proposed for robot path planning. Most existing methods fo r evolutionary path planning require a number of generations for finding a satisfactory trajectory and thus are not e@cient enough for real-time applications. In this paper we present a new method for evolutionary path planning whach can be used on-line in real-time. We use an evolutionary algor...

Generally, trajectory planning problems are often formulated as constrained variational problems. This paper develops an optimal trajectory model to optimize the trajectory planning on a free surface to achieve uniform deposition over painted surface and reduce wastage of coating materials. Numerical solution techniques consider geometric characteristics on a free surface, rate of film accumula...

This paper develops a trajectory planning algorithm for a four-wheel-steering (4WS) vehicle based on vehicle kinematics. The flexibility offered by the steering is utilized fully in the trajectory planning. A two-part trajectory planning algorithm consists of the steering planning and velocity planning. The limits of vehicle mechanism and drive torque are taken into account. Simulation results ...

This paper presents a general methodology for the offline planning of trajectory of a six axis serial robot along a specified path. The objective of trajectory planning is to minimise a cost function when subjected to joint angles, joint velocities, acceleration, jerks, torques and gripping force constraints by considering dynamic of the robot. A trigonometric spline is used to represent the tr...