论文信息 - Task and path planning for mobile robots

Task and path planning for mobile robots

Autonomous mobile robots represent today a perfect paradigm for third generation robots and possibly the clearest case study for machine intelligence. They imply multi-level environment perception and modelling, decisional autonomy ranging from general planning to specific task operating, autonomous mobility capacity, sophisticated high level man-machine interface, and efficient execution control systems.

R. Chatila | G. Giralt | R. Chatila | G. Giralt

[1] Michael Drumheller,et al. Mobile Robot Localization Using Sonar , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2] Jean-Paul Laumond,et al. Feasible Trajectories for Mobile Robots with Kinematic and Environment Constraints , 1986, IAS.

[3] Ralph P. Sobek,et al. A Robot Planning Structure Using Production Rules , 1985, IJCAI.

[4] Scott Y. Harmon,et al. Sensor data fusion through a distributed blackboard , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[5] Rodney A. Brooks,et al. A layered intelligent control system for a mobile robot , 1986 .

[6] Yutaka Kanayama,et al. Trajectory generation for mobile robots , 1984 .

[7] Georges Giralt,et al. A Multi-level Planning and Navigation System for a Mobile Robot: A First Approach to HILARE , 1979, IJCAI.

[8] A. Robert de Saint Vincent. A 3D perception system for the mobile robot hilare , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[9] Michael Brady,et al. Artificial Intelligence and Robotics , 1985, Artif. Intell..

[10] Raja Chatila,et al. Path Planning and Environment Learning in a Mobile Robot System , 1982, ECAI.