Development of user interface for tele-operated cranes

This research focuses on one of the major challenges in a tele-operated crane system, namely the user interface (UI). This UI should provide rich information retrieved from the field and display it properly in order to enhance the operation and decision-making processes involved in crane activities. In this research, we have designed two UIs specifically for a tele-operated crane system. The first UI is a four view system (quad-view) with a top view, left-side view, right-side view, and global view. The second UI has four views but uses additional guidance from Augmented Reality (AR) technologies. To test the UIs, we used a robot arm (KUKA KR16) to simulate a tele-operated crane in a testing environment. We also compared the UIs we designed against a conventional operation interface (i.e. operator's view with oral guidance from the ground). We conducted a user test with two groups of participants: 5 crane operators and 30 students. Students constitute a novice group, and their results are interpreted from a statistical perspective. Using the student group, the interface's learning curve can be evaluated. Operators constitute an expert group, which provides evidences for evaluating if the developed UIs are realistic and fit the needs of the field. We found that use of the UIs we designed resulted in a shorter erection time (336 and 343s) than if the participants used the conventional operation interface (380s). A self-evaluated index showing the difficulty of the tasks, the NASA task loading index (TLX), was calculated for each of the UIs. The UIs resulted in a higher TLX (52.0 and 53.2) than the conventional operation interface (32.2). In summary, the two UIs developed in this research are able to assist operators in operating remote cranes more efficiently and with less mental load than by using the conventional operation interface.

[1]  Mohamed Al-Hussein,et al.  Optimization Algorithm for Selection and on Site Location of Mobile Cranes , 2005 .

[2]  Leonhard E. Bernold Control schemes for tele-robotic pipe installation , 2007 .

[3]  Thomas M. Murray,et al.  Cost‐effective steel building design , 2000 .

[4]  Aviad Shapira,et al.  Vision System for Tower Cranes , 2008 .

[5]  Jochen Teizer 3D range imaging camera sensing for active safety in construction , 2008, J. Inf. Technol. Constr..

[6]  Vijay Kumar,et al.  Opportunities and challenges with autonomous micro aerial vehicles , 2012, Int. J. Robotics Res..

[7]  Cheng-Yuan Chang,et al.  Intelligent fuzzy accelerated method for the nonlinear 3-D crane control , 2009, Expert Syst. Appl..

[8]  Xiangyu Wang Improving Human-Machine Interfaces for Construction Equipment Operations with Mixed and Augmented Reality , 2008 .

[9]  Xiangyu Wang,et al.  Mixed Reality — Enhanced Operator Interface for Teleoperation Systems in Unstructured Environment , 2006 .

[10]  G. Klein,et al.  Parallel Tracking and Mapping for Small AR Workspaces , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.

[11]  Rui Wang,et al.  Toward affective hands-free human-machine interface approach in virtual environments-based equipment operation training , 2009 .

[12]  Thomas Olofsson,et al.  Credibility and applicability of virtual reality models in design and construction , 2008, Adv. Eng. Informatics.

[13]  Nicholas Roy,et al.  Construction of Cubic Structures with Quadrotor Teams , 2012 .

[14]  Leonhard E. Bernold,et al.  Comparative Performance Evaluation of Tele-Operated Pipe Laying , 2003 .

[15]  Xiangyu Wang,et al.  Using Augmented Reality to Plan Virtual Construction Worksite , 2007 .

[16]  Shih-Chung Kang,et al.  Three-Dimensional Simulation and Visualization of Crane Assisted Construction Erection Processes , 2009 .

[17]  Vineet R. Kamat,et al.  Dynamic 3D Visualization of Articulated Construction Equipment , 2005 .

[18]  Jongwon Kim,et al.  Excavator tele-operation system using a human arm , 2009 .

[19]  Dieter Schmalstieg,et al.  Real-Time Detection and Tracking for Augmented Reality on Mobile Phones , 2010, IEEE Transactions on Visualization and Computer Graphics.

[20]  M. A. Biferno Mental workload measurement: Event-related potentials and ratings of workload and fatigue , 1985 .

[21]  Heinz Wörn,et al.  Swing attenuation of suspended objects transported by robot manipulator using acceleration compensation , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[22]  Ziyad N. Masoud,et al.  Effect of hoisting cable elasticity on anti-sway controllers of quay-side container cranes , 2009 .

[23]  Soh-Khim Ong,et al.  Robot Programming Using Augmented Reality , 2009, 2009 International Conference on CyberWorlds.

[24]  Yoo Sang Choo,et al.  Dynamic response of tower crane induced by the pendulum motion of the payload , 2006 .