Research on Evaluation of Path Planning with Span of Planet Detector

Our research is focused on cost evaluation of path planning with span through experiment and theoretical analysis. The evaluating plan is advised by combining safety, energy consumption and time consumption together and the optimal path is found from several paths. Based on the planning paths with search arithmetic, the cost evaluation of path planning with span researches the span of planet detector and do the cost evaluation for paths after considering every factor. Basing on span, considering lots of factors and suiting to many complex landform, it is an applied evaluating plan

[1]  Alonzo Kelly,et al.  An intelligent, predictive control approach to the high-speed cross-country autonomous navigation problem , 1996 .

[2]  O. Ziyuan INTERNATIONAL LUNAR EXPLORATION PROGRESS AND CHINESE LUNAR EXPLORATION , 2004 .

[3]  Ehud Rivlin,et al.  Range-sensor based navigation in three dimensions , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[4]  Larry H. Matthies,et al.  An autonomous path planner implemented on the Rocky 7 prototype microrover , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[5]  Joel W. Burdick,et al.  An autonomous sensor-based path-planner for planetary microrovers , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[6]  Joel W. Burdick,et al.  Theory and experiments in autonomous sensor-based motion planning with applications for flight planetary microrovers , 1999 .

[7]  Maarten Vergauwen,et al.  A micro-rover navigation and control system for autonomous planetary exploration , 2004, Adv. Robotics.

[8]  Cen Yu-wan Present Situation and Future Development of Mobile Robot Path Planning Technology , 2005 .

[9]  Reid G. Simmons,et al.  Recent progress in local and global traversability for planetary rovers , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[10]  Lu Ji-lian Prediction of Overcoming Berriers for 4×4 Mobile Robots Based on ADAMS , 2005 .