Unmanned Construction System: Present Status and Challenges

Ban, Ya

doi:10.22260/isarc2002/0038

Cited by 24 publications

(12 citation statements)

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“…construction, but sharply decreases in cases where the machinery moves or high precision work is necessary [5]. For example, collaborative equipment work is a common case in construction where communication and negotiation are essential to properly accomplish the work.…”

Section: Th International Symposium On Automation and Robotics In Conmentioning

confidence: 99%

“…Artificial intelligence (AI) research aiming at the creation of unmanned construction systems, capable of performing complex tasks as well as human operators, has been carried out to control construction work on hazardous sites or for space and underwater constructions. These systems have been applied to perform emergency countermeasure and restoration work at disaster sites [5]. It is mentioned that the efficiency of unmanned construction is roughly 60-70% of that of manned…”

Section: Introductionmentioning

confidence: 99%

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Collaborative Agent-Based System for Multiple Crane Operation

Zhang¹,

Hammad²

2007

Automation and Robotics in Construction &Amp;#8213; Proceedings of the 24th International Symposium on Automation and Robotics

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Operating cranes in a construction project should meet several requirements of capacity, safety and spatial constraints. Much research has been done about selecting cranes, simulating the work processes, training operators and optimizing working paths to improve the efficiency and reduce conflicts in real construction operations. However, most of the research focused on equipment working individually rather than coordinating multiple works, such as the case of two cranes working together to lift a heavy or large object. The complexity of coordinating equipment requires more detailed planning and better real-time control of the work. The present paper proposes a new approach using artificial intelligent agents to enhance communication between two cranes and resolve distributed problems in the construction industry. A framework is developed to simulate the working environment of two cranes on site. A simulation model is under development using a case study to investigate the feasibility of the proposed approach.

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Section: Th International Symposium On Automation and Robotics In Conmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Collaborative Agent-Based System for Multiple Crane Operation

Zhang¹,

Hammad²

2007

Automation and Robotics in Construction &Amp;#8213; Proceedings of the 24th International Symposium on Automation and Robotics

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“…Unzen in Japan [1], many kinds of robots with different functions have been developed, like snake robot [2], jump robot [3], one arm rescue robot [4], and so on. DRRs which have four sub-crawler are often used in disaster response work [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…All authors read and approved the final manuscript. 1 Modern Mechanical Engineering, Graduate School of Creative Science and Engineering, Waseda University, 17 Kikui-cho, Shinjuku-ku, Tokyo 162-0044, Japan.…”

mentioning

confidence: 99%

Compound locomotion control system combining crawling and walking for multi-crawler multi-arm robot to adapt unstructured and unknown terrain

et al. 2018

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How to improve task performance and how to control a robot in extreme environments when just a few sensors can be used to obtain environmental information are two of the problems for disaster response robots (DRRs). Compared with conventional DRRs, multi-arm multi-flipper crawler type robot (MAMFR) have high mobility and task-execution capabilities. Because, crawler robots and quadruped robots have complementary advantages in locomotion, therefore we have the vision to combine both of these advantages in MAMFR. Usually, MAMFR (like four-arm four-flipper robot OCTOPUS) was designed for working in extreme environments such as that with heavy smoke and fog. Therefore it is a quite necessary requirement that DRR should have the ability to work in the situation even if vision and laser sensors are not available. To maximize terrains adaption ability, self-balancing capability, and obstacle getting over capability in unstructured disaster site, as well as reduce the difficulty of robot control, we proposed a semi-autonomous control system to realize this compound locomotion method for MAMFRs. In this control strategy, robot can explore the terrain and obtain basic information about the surrounding by its structure and internal sensors, such as encoder and inertial measurement unit. Except that control system also can recognize the relative positional relationship between robot and surrounding environment through its arms and crawlers state when robot moving. Because the control rules is simple but effective, and each part can adjust its own state automatically according to robot state and explored terrain, MRMFRs have better terrain adaptability and stability. Experimental results with a virtual reality simulator indicated that the designed control system significantly improved stability and mobility of robot in tasks, it also indicated that robot can adapt complex terrain when controlled by designed control system.

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“…As already described in [10], a key challenge for teleoperation is to provide the operator with extensive feedback for all senses in order to achieve a high level of controllability. This becomes particularly important if the machine is moved on uneven ground.…”

Section: Introductionmentioning

confidence: 99%

IBEX — A tele-operation and training device for walking excavators

Hutter¹,

Braungardt²,

Grigis³

et al. 2016

2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

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Abstract-This paper describes a novel tele-operation and training device for walking excavators based on a compact 3DOF motion platform. Thanks to an innovative setup optimized for high mobility, with two lever arms for differential roll and pitch actuation as well as a continuous rotation mechanism for yaw, the movement of the remote walking excavator can be accurately replicated in any situation. For realistic yet comfortable visual feedback, three foldable screens provide a view around the unmanned excavator. With this augmented feedback, an operator can work as if he was sitting in the actual machine. The platform is successfully tested by experienced and unexperienced users. To this end, a realistic simulation using CM Labs vortex environment is implemented and a series of scenarios are tested. As such, ibex additionally serves as ideal training device for walking excavator pilots.

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Unmanned Construction System: Present Status and Challenges

Cited by 24 publications

References 0 publications

Collaborative Agent-Based System for Multiple Crane Operation

Collaborative Agent-Based System for Multiple Crane Operation

Compound locomotion control system combining crawling and walking for multi-crawler multi-arm robot to adapt unstructured and unknown terrain

IBEX — A tele-operation and training device for walking excavators

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