Towards the implementation of a MPC-based planner on an autonomous All-Terrain Vehicle
نویسندگان
چکیده
Planning and control for a wheeled mobile robot are challenging problems when poorly traversable terrains, including dynamic obstacles, are considered. To accomplish a mission, the control system should firstly guarantee the vehicle integrity, for example with respect to possible roll-over/tip-over phenomena. A fundamental contribution to achieve this goal, however, comes from the planner as well. In fact, computing a path that takes into account the terrain traversability, the kinematic and dynamic vehicle constraints, and the presence of dynamic obstacles, is a first and crucial step towards ensuring the vehicle integrity. The present paper addresses some of the aforementioned issues, describing the hardware/software architecture of the planning and control system of an autonomous All-Terrain Mobile Robot and the implementation of a real-time path planner.
منابع مشابه
Linear Time Varying MPC Based Path Planning of an Autonomous Vehicle via Convex Optimization
In this paper a new method is introduced for path planning of an autonomous vehicle. In this method, the environment is considered cluttered and with some uncertainty sources. Thus, the state of detected object should be estimated using an optimal filter. To do so, the state distribution is assumed Gaussian. Thus the state vector is estimated by a Kalman filter at each time step. The estimation...
متن کاملMotion Planning for Autonomous All-Terrain Vehicle
Motion planning for unmanned ground vehicle on rough terrain has been an active research topic for a long time. One of the main challenges comes from the complexity of the off-road field environment. In this project, we aimed to propose a motion planner for a full-size all-terrain vehicle (ATV) for the application of off-road autonomous navigation. More specifically, how to build a model-based ...
متن کاملTowards terrain-aided navigation for underwater robotics
This paper describes an approach to autonomous navigation for an undersea vehicle that uses information from a scanning sonar to generate navigation estimates based on a simultaneous localization and mapping algorithm. Development of low-speed platform models for vehicle control and the theoretical and practical details of mapping and position estimation using sonar are provided. An implementat...
متن کاملDesign and Experimental Evaluation of integrated orientation estimation algorithm Autonomous Underwater Vehicle Based on Indirect Complementary Filter
This paper aims is to design an integrated navigation system constituted by low-cost inertial sensors to estimate the orientation of an Autonomous Underwater Vehicle (AUV) during all phases of under water and surface missions. The proposed approach relied on global positioning system, inertial measurement unit (accelerometer & rate gyro), magnetometer and complementary filter technique. Complem...
متن کاملTowards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain
Today, low-altitude fixed-wing Unmanned Aerial Vehicles (UAVs) are largely limited to primitively follow user-defined waypoints. To allow fully-autonomous remote missions in complex environments, real-time environment-aware navigation is required both with respect to terrain and wind, which can easily exceed the aircraft maximum airspeed or vertical speed in complex terrain. This paper presents...
متن کامل