Computational Intelligence in Robotics and Automation 

About: Computational Intelligence in Robotics and Automation is an academic conference. The conference publishes majorly in the area(s): Mobile robot & Robot. Over the lifetime, 949 publications have been published by the conference receiving 12754 citations.

A frontier-based approach for autonomous exploration

Abstract: We introduce a new approach for exploration based on the concept of frontiers, regions on the boundary between open space and unexplored space. By moving to new frontiers, a mobile robot can extend its map into new territory until the entire environment has been explored. We describe a method for detecting frontiers in evidence grids and navigating to these frontiers. We also introduce a technique for minimizing specular reflections in evidence grids using laser-limited sonar. We have tested this approach with a real mobile robot, exploring real-world office environments cluttered with a variety of obstacles. An advantage of our approach is its ability to explore both large open spaces and narrow cluttered spaces, with walls and obstacles in arbitrary orientation.

Incremental mapping of large cyclic environments

Abstract: Mobile robots can use geometric or topological maps of their environment to navigate reliably. Automatic creation of such maps is still an unrealized goal, especially in environments that have large cyclical structures. Drawing on recent techniques of global registration and correlation, we present a method, called local registration and global correlation, for reliable reconstruction of consistent global maps from dense range data. The method is attractive because it is incremental, producing an updated map with every new sensor input; and runs in constant time independent of the size of the map (except when closing large cycles). A real-time implementation and results are presented for several indoor environments.

Orientation tracking for humans and robots using inertial sensors

Abstract: Joint angle determination for robots with flexible links can be difficult. Inertial orientation tracking combined with RF positioning provides an accurate method for determining end effector orientation and location. The same technology could also be used to determine human posture for the purpose of inserting humans in synthetic environments. Orientation filters based upon Euler angles suffer from singularities. This paper describes the design, implementation, and preliminary testing of an inertial tracking system using a "complementary" filter based upon quaternions. This filter is capable of tracking a rigid body through all orientations and is more efficient than those based on Euler angles. Results of qualitative tests of a prototype inertial angle tracking device are presented.

Genetic algorithms for adaptive motion planning of an autonomous mobile robot

Abstract: This paper proposes genetic algorithms (GAs) for path planning and trajectory planning of an autonomous mobile robot. Our GA-based approach has an advantage of adaptivity such that the GAs work even if an environment is time-varying or unknown. Therefore, it is suitable for both off-line and online motion planning. We first present a GA for path planning in a 2D terrain. Simulation results on the performance and adaptivity of the GA on randomly generated terrains are presented. Then, we discuss extensions of the GA for solving both path planning and trajectory planning simultaneously.

The 3 rd Generation of Robotics: Ubiquitous Robot.

Abstract: In this paper, ubiquitous robot (Ubibot), a 3rd generation of robotics, is introduced as a robot incorporating three forms of robots: software robot (Sobot), embeded robot (Embot) and mobile robot (Mobot), which can provide us with various services by any device through any network, at any place anytime in a ubiquitous space. Sobot is a virtual robot, which has the ability to move to any place through a network. Embot is embedded within the environment or in the Mobot. Mobot provides integrated mobile services, which are seamless, calm and context-aware. Following its definition, the basic concepts of Ubibot are presented. A Sobot, called Rity, developed at the RIT Lab., KAIST, is introduced to investigate the usability of the proposed concepts. Rity is a 3D synthetic character which exists in the virtual world, has a unique IP address and interacts with human beings through an Embot implemented by a face recognition system using a USB camera. To show the possibility of realization of Ubibot by using the current state of the art technologies, two kinds of successful demonstrations are presented.