Sensor-based Motion Planning Algorithm for High-rise Building Facade Cleaning of Built-in Guide Type Multi-Robot

With the increasing number of high-rise and large-scale buildings, modern buildings are becoming intelligent, and are incurring high construction costs and requiring careful maintenance. Maintenance works for high-rise buildings significantly depend on human labor, unlike other construction processes that are gradually being automated. The resulting accidents may produce very high social and economic losses. To address this problem, herein, this paper proposes robotic building maintenance system using multi-robot concept, in specific, cleaning a building facade which is directly subjected to minimize human labor; that improves the process efficiency and economic feasibility. The sensor for detecting contamination of building`s outer-wall glass is proposed; Kalman filter was used for estimating robots` status with the contamination of the window glass. Task allocation of the sensor based multi-robots for an effective way of task execution is introduced and the feasibility was verified through the simulations.

[1]  Luigi Fortuna,et al.  Soft Sensors for Monitoring and Control of Industrial Processes (Advances in Industrial Control) , 2006 .

[2]  D. Atkin OR scheduling algorithms. , 2000, Anesthesiology.

[3]  Anna Kochan CLAWAR highlights research progress on climbing and walking robots , 2006, Ind. Robot.

[4]  Maja J. Mataric,et al.  Multi-robot task allocation: analyzing the complexity and optimality of key architectures , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[5]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[6]  S. Iqbal,et al.  Design optimization using ANOVA , 2002 .

[7]  Pablo González de Santos,et al.  Application of CLAWAR Machines , 2003, Int. J. Robotics Res..

[8]  L. Leemis Applied Linear Regression Models , 1991 .

[9]  A. K. Munns,et al.  Building maintenance strategy: a new management approach , 1997 .

[10]  Pedro U. Lima,et al.  Multi-Robot Systems , 2005, Innovations in Robot Mobility and Control.

[11]  L. Cochran,et al.  Sources of Torsional Wind Loading on Tall Buildings: Lessons from the Wind Tunnel , 2000 .

[12]  Jianwei Zhang,et al.  Sky Cleaner 3: a real pneumatic climbing robot for glass-wall cleaning , 2006, IEEE Robotics & Automation Magazine.

[13]  A H Christer Modelling Inspection Policies for Building Maintenance , 1982, The Journal of the Operational Research Society.

[14]  Norbert Elkmann,et al.  SIRIUSc — Facade Cleaning Robot for a High-Rise Building in Munich, Germany , 2005 .

[15]  Karsten Berns,et al.  CROMSCI: development of a climbing robot with negative pressure adhesion for inspections , 2008, Ind. Robot.

[16]  A. Hunt,et al.  Wind-tunnel measurements of surface pressures on cubic building models at several scales , 1982 .

[17]  D. T. Pham,et al.  Application of the Taguchi method to the design of a robot sensor , 1995, Robotica.

[18]  Jang-myung Lee,et al.  Localization of Multiple Robots in a Wide Area , 2010 .

[19]  S. Yoo,et al.  Adaptive Formation Control of Nonholonomic Multiple Mobile Robots Considering Unknown Slippage , 2010 .

[20]  Toshiyuki Yasuda,et al.  Multi-Robot Systems, Trends and Development , 2011 .

[21]  Jing Wu,et al.  A Study on Hybrid Force/ Motion Control for Automated Robotic Building Maintenance System , 2011 .

[22]  Chang-Soo Han,et al.  Window Contamination Detection Method for the Robotic Building Maintenance System , 2011 .

[23]  Chang-Soo Han,et al.  A survey of climbing robots: Locomotion and adhesion , 2010 .