Shared autonomy system for tracked vehicles on rough terrain based on continuous three‐dimensional terrain scanning

Tracked vehicles are frequently used as search-and-rescue robots for exploring disaster areas. To enhance their ability to traverse rough terrain, some of these robots are equipped with swingable subtracks. However, manual control of such subtracks also increases the operator's workload, particularly in teleoperation with limited camera views. To eliminate this trade-off, we have developed a shared autonomy system using an autonomous controller for subtracks that is based on continuous three-dimensional terrain scanning. Using this system, the operator has only to specify the direction of travel to the robot, following which the robot traverses rough terrain using autonomously generated subtrack motions. In our system, real-time terrain slices near the robot are obtained using two or three LIDAR (laser imaging detection and ranging) sensors, and these terrain slices are integrated to generate three-dimensional terrain information. In this paper, we introduce an autonomous controller for subtracks and validate the reliability of a shared autonomy system on actual rough terrains through experimental results. © 2011 Wiley Periodicals, Inc.

[1]  Shoichi Maeyama,et al.  Rule based filtering and fusion of odometry and gyroscope for a fail safe dead reckoning system of a mobile robot , 1996, 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242).

[2]  Liqiang Feng,et al.  Gyrodometry: a new method for combining data from gyros and odometry in mobile robots , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[3]  Keiji Nagatani,et al.  Shared Autonomy System for Turning Tracked Vehicles on Rough Terrain Using Real-Time Terrain Scanning , 2010 .

[4]  Hiroshi Masuda,et al.  HELIOS carrier: Tail-like mechanism and control algorithm for stable motion in unknown environments , 2009, 2009 IEEE International Conference on Robotics and Automation.

[5]  Howie Choset,et al.  Editorial: Search and rescue robots , 2008 .

[6]  Yoshinori Tanaka,et al.  Development of “Souryu‐IV” and “Souryu‐V:” Serially connected crawler vehicles for in‐rubble searching operations , 2008, J. Field Robotics.

[7]  Johann Borenstein,et al.  The OmniTread OT‐4 serpentine robot—design and performance , 2007, J. Field Robotics.

[8]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using unit quaternions , 1987 .

[9]  Fumitoshi Matsuno,et al.  Development of an unit type robot "KOHGA2" with stuck avoidance ability , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[10]  Kazuya Yoshida,et al.  Improvement of the Odometry Accuracy of a Crawler Vehicle with Consideration of Slippage , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[11]  Andreas Birk,et al.  A Fuzzy Controller for Autonomous Negotiation of Stairs by a Mobile Robot with Adjustable Tracks , 2007, RoboCup.

[12]  Kazuya Yoshida,et al.  Shared autonomy system for tracked vehicles to traverse rough terrain based on continuous three-dimensional terrain scanning , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Kazunori Ohno,et al.  Semi-autonomous control system of rescue crawler robot having flippers for getting Over unknown-Steps , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[14]  Shigeo Hirose,et al.  Helios VII: a new vehicle for disaster response — mechanical design and basic experiments , 2005, Adv. Robotics.

[15]  Daniel E. Koditschek,et al.  RHex: A Simple and Highly Mobile Hexapod Robot , 2001, Int. J. Robotics Res..

[16]  Mark Micire.  Evolution and field performance of a rescue robot , 2008, J. Field Robotics.

[17]  Kazuya Yoshida,et al.  Semi-autonomous operation of tracked vehicles on rough terrain using autonomous control of active flippers , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  Shigeo Hirose,et al.  Normalized energy stability margin and its contour of walking vehicles on rough terrain , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[19]  Brian A. Weiss,et al.  Test arenas and performance metrics for urban search and rescue robots , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[20]  Kevin Blankespoor,et al.  BigDog, the Rough-Terrain Quadruped Robot , 2008 .

[21]  Adam Jacoff,et al.  Stepfield pallets: repeatable terrain for evaluating robot mobility , 2008, PerMIS.

[22]  Brian Yamauchi,et al.  A frontier-based approach for autonomous exploration , 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.

[23]  Sungchul Kang,et al.  ROBHAZ-DT3: teleoperated mobile platform with passively adaptive double-track for hazardous environment applications , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[24]  Brian Yamauchi,et al.  PackBot: a versatile platform for military robotics , 2004, SPIE Defense + Commercial Sensing.

[25]  Keiji Nagatani,et al.  Quince : A Collaborative Mobile Robotic Platform for Rescue Robots Research and Development , 2010 .