Extending Reactive Collision Avoidance Methods to Consider any Vehicle Shape and the Kinematics and Dynamic Constraints
نویسندگان
چکیده
Many collision avoidance methods do not consider the vehicle shape and its kinematic and dynamic constraints, assuming a point-like and omnidirectional robot without acceleration constraints. The contribution of this paper is a methodology to consider the exact shape and kinematics as well as the effects of the dynamics in the collision avoidance layer, although the original avoidance method at hand does not address them. This is achieved by abstracting these constraints from the avoidance methods in such a way that when the method is applied, the constraints have been already taken into account. This work is a starting point to extend the domain of applicability of a wide range of collision avoidance methods.
منابع مشابه
Abstracting any Vehicle Shape and the Kinematics and Dynamic Constraints from Reactive Collision Avoidance Methods
ing any Vehicle Shape and the Kinematics and Dynamic Constraints from Reactive Collision Avoidance Methods
متن کاملThe ego-kinodynamic space: collision avoidance for any shape mobile robots with kinematic and dynamic constraints
This paper presents a framework to use collision avoidance methods in the majority of existing mobile robots (that have any shape, and kinematic and dynamic constraints). The solution proposed is a vehicle abstraction layer based on transforming the space where these methods work, onto another one in which the constraints are implicitly represented. This space incorporates the vehicle kinematic...
متن کاملReactive collision avoidance for navigation with dynamic constraints
We address the problem of applying reactive navigation methods for collision avoidance to systems where the dynamics cannot be neglected: mobile robots with slow dynamic capabilities, or systems working at high speeds. Rather than embedding the motion constraints when designing a navigation method, we propose to introduce the robot dynamic constraints directly into the spatial representation. I...
متن کاملExtending obstacle avoidance methods through multiple parameter-space transformations
Obstacle avoidance methods approach the problem of mobile robot autonomous navigation by steering the robot in real-time according to the most recent sensor readings, being suitable to dynamic or unknown environments. However, real-time performance is commonly gained by ignoring the robot shape and some or all of its kinematic restrictions which may lead to poor navigation performance in many p...
متن کاملA Distributed Model Predictive Control Framework for Road-Following Formation Control of Car-like Vehicles (Extended Version)
This work presents a novel framework for the formation control of multiple autonomous ground vehicles in an on-road environment. Unique challenges of this problem lie in 1) the design of collision avoidance strategies with obstacles and with other vehicles in a highly structured environment, 2) dynamic reconfiguration of the formation to handle different task specifications. In this paper, we d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008