Height Change Feature Based Free Space Detection

In the context of autonomous forklifts, ensuring non-collision during travel, pick, and place operations is crucial. To accomplish this, the forklift must be able to detect and locate areas of free space and potential obstacles in its environment. However, this is particularly challenging in highly dynamic environments, such as factory sites and production halls, due to numerous industrial trucks and workers moving throughout the area. In this paper, we present a novel method for free space detection, which consists of the following steps. We introduce a novel technique for surface normal estimation relying on spherical projected LiDAR data. Subsequently, we employ the estimated surface normals to detect free space. The presented method is a heuristic approach that does not require labeling and can ensure real-time application due to high processing speed. The effectiveness of the proposed method is demonstrated through its application to a real-world dataset obtained on a factory site both indoors and outdoors, and its evaluation on the Semantic KITTI dataset [2]. We achieved a mean Intersection over Union (mIoU) score of 50.90 % on the benchmark dataset, with a processing speed of 105 Hz. In addition, we evaluated our approach on our factory site dataset. Our method achieved a mIoU score of 63.30 % at 54 H

Feasibility of Warehouse Drone Adoption and Implementation

While aerial delivery drones capture headlines, the pace of adoption of drones in warehouses has shown the greatest acceleration. Warehousing constitutes 30% of the cost of logistics in the US. The rise of e-commerce, greater customer service demands of retail stores, and a shortage of skilled labor have intensified competition for efficient warehouse operations. This takes place during an era of shortening technology life cycles. This paper integrates several theoretical perspectives on technology diffusion and adoption to propose a framework to inform supply chain decision-makers on when to invest in new robotics technology

Multi-level manual and autonomous control superposition for intelligent telerobot

Space telerobots are recognized to require cooperation with human operators in various ways. Multi-level manual and autonomous control superposition in telerobot task execution is described. The object model, the structured master-slave manipulation system, and the motion understanding system are proposed to realize the concept. The object model offers interfaces for task level and object level human intervention. The structured master-slave manipulation system offers interfaces for motion level human intervention. The motion understanding system maintains the consistency of the knowledge through all the levels which supports the robot autonomy while accepting the human intervention. The superposing execution of the teleoperational task at multi-levels realizes intuitive and robust task execution for wide variety of objects and in changeful environment. The performance of several examples of operating chemical apparatuses is shown

"The Strategic Effects of Firm Sizes and Dynamic Capabilities on Overseas Operations: A Case-based Comparison of Toyota and Mitsubishi in Thailand and Australia"

In international business, much attention has been directed to the international expansion of firms based on their use of resources and competitive capabilities that have been built up in a home country to create a competitive advantage over host-country firms. More recently, the organizational capabilities and competitive advantages of Japanese manufacturing firms in general (in autos, electronics, etc.) have been analyzed as important factors in the establishment of overseas transplants. The theoretical framework of the overseas application of home-country management resources has been effective as a basic tool in analyzing the fundamental issue of international operations of the firm. However, the existing models, which tend to emphasize application of country-specific resources, does not sufficiently explain the frequently encountered question of why multinational enterprises (following, MNEs) from the same home country pursue different strategic paths and actions when managing overseas operations. The present paper attempts to incorporate a dynamic and firm-specific perspective and empirically analyze how differences in the financial resources and organizational capabilities of MNEs from the same home country affect the strategy and competitive behavior of their operations in the same local country. The analysis will center on the two Japanese auto assemblers, specifically Toyota Motor Corporation and Mitsubishi Motors Corporation, which have local production facilities in both Australia and Thailand. These two countries provide interesting case studies because in both the local operations experienced a serious crisis in recent years. The crisis for local auto producers in Australia began in the 1980s with the removal of protectionist policies and the rapid liberalization of the auto market. In Thailand, exceedingly severe conditions for local auto assemblers were caused by the 1997 Asian economic crisis. The present paper will focus its attention on the differences in the responses by Toyota and Mitsubishi to these crises, which we characterize as "larger competent firm" and "smaller competent firm" respectively. The two firms in question have both maintained international competitiveness in production in their common home country of Japan, in addition to building top-level local competitiveness in their Australian and Thai operations. However, when faced with a growth opportunity and a subsequent crisis, the responses of the local operations of the firms were markedly different. It is anticipated that behind these differences in firm conduct lie interfirm differences in firm scale (i.e. financial power) and dynamic organizational capabilities (e.g., capability-building capability) in their home country. The present paper will attempt to delineate these interfirm differences and their effects on firm conduct to explain why two firms from the same home country would show such different patterns of conduct even though they face the same local opportunities and crises.

Modelling Fresh Strawberry Supply "From-Farm-to-Fork" as a Complex Adaptive Network

 The purpose of this study is to model and thereby enable simulation of the complete business entity of fresh food supply. A case narrative of fresh strawberry supply provides basis for this modelling. Lamming et al. (2000) point to the importance of discerning industry-specific product features (or particularities) regarding managing supply networks when discussing elements in "an initial classification of a supply network" while Fisher (1997) and Christopher et al. (2006, 2009) point to the lack of adopting SCM models to variations in products and market types as an important source of SCM failure. In this study we have chosen to move along a research path towards developing an adapted approach to model end-to-end fresh food supply influenced by a combination of SCM, system dynamics and complex adaptive network thinking...