Traveling Control of Autonomous Mobile Robots DREAM

The author was requested by the committee of Reports of the Faculty of Engineering, Tottori university to summarize the major researches during the life in the Department of Electrical and Electronic Engineering. With many thanks, the author will describe the research activities on the Autonomous Mobile Robots DREAM as follows: In the recent aging society, the burden of the nurses has increased. To reduce the burden even a little, we are developing the wheelchair type autonomous mobile robot, called DREAM-3, which will be used in indoor environments of the hospitals and/or welfare facilities. The DREAM-3 aims at carrying the passenger from its present place to the destination safely and comfortably. Along this line of the safety traveling, we have installed an environmental map to digitalize the information in the corresponding traveling environmental. Using the environmental map, suitable traveling route is estimated and a safety autonomous traveling is realized. This was proved on the traveling in a general welfare facility near our campus. Besides, based on the traveling approach of DREAM-3, a semi-automatic wheelchair robot, called DREAM-4, with a learning function has been proposed. A driver operates DREAM-4 by a joystick. And when the wheelchair meets with obstacles and senses danger, it travels slowly and avoids obstacles automatically. And DREAM-4 is to learn according to the operational feature of the driver, so that to make the steering easy

[[alternative]]Behavior-Based Formation Control of Autonomous Mobile Robots(I)

計畫編號：NSC92-2213-E032-006研究期間：200308~200407研究經費：418,000[[sponsorship]]行政院國家科學委員

An Experimental Framework for 5G Wireless System Integration into Industry 4.0 Applications

The fourth industrial revolution, or Industry 4.0 (I4.0), makes use of wireless technologies together with other industrial Internet-of-Things (IIoT) technologies, cyber–physical systems (CPS), and edge computing to enable the optimization and the faster re-configuration of industrial production processes. As I4.0 deployments are ramping up, the practical integration of 5G wireless systems with existing industrial applications is being explored in both Industry and Academia, in order to find optimized strategies and to develop guidelines oriented towards ensuring the success of the industrial wireless digitalization process. This paper explores the challenges arisen from such integration between industrial systems and 5G wireless, and presents a framework applicable to achieve a structured and successful integration. The paper aims at describing the different aspects of the framework such as the application operational flow and its associated tools, developed based on analytical and experimental applied research methodologies. The applicability of the framework is illustrated by addressing the integration of 5G technology into a specific industrial use case: the control of autonomous mobile robots. The results indicate that 5G technology can be used for reliable fleet management control of autonomous mobile robots in industrial scenarios, and that 5G can support the migration of the on-board path planning intelligence to the edge-cloud

Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda

Autonomous mobile robots (AMR) are currently being introduced in many intralogistics operations, like manufacturing, warehousing, cross-docks, terminals, and hospitals. Their advanced hardware and control software allow autonomous operations in dynamic environments. Compared to an automated guided vehicle (AGV) system in which a central unit takes control of scheduling, routing, and dispatching decisions for all AGVs, AMRs can communicate and negotiate independently with other resources like machines and systems and thus decentralize the decision-making process. Decentralized decision-making allows the system to react dynamically to changes in the system state and environment. These developments have influenced the traditional methods and decision-making processes for planning and control. This study identifies and classifies research related to the planning and control of AMRs in intralogistics. We provide an extended literature review that highlights how AMR technological advances affect planning and control decisions. We contribute to the literature by introducing an AMR planning and control framework t

The fallacy of general purpose bio-inspired computing

Bio-inspired computing comes in many flavours, inspired by biological systems from which salient features and/or organisational principles have been idealised and abstracted. These bio-inspired schemes have sometimes been demonstrated to be general purpose; able to approximate arbitrary dynamics, encode arbitrary structures, or even carry out universal computation. The generality of these abilities is typically (although often implicitly) reasoned to be an attractive and worthwhile trait. Here, it is argued that such reasoning is fallacious. Natural systems are nichiversal rather than universal, and we should expect the computational systems that they inspire to be similarly limited in their performance, even if they are ultimately capable of generality in their competence. Practical and methodological implications of this position for the use of bio-inspired computing within artificial life are outlined

Special issue about advances in Physical Agents

Nowadays, there are a lot of Spanish groups which are doing research in areas related with physical agents: they use agent-based technologies concepts, especially industrial applications, robotics and domotics (physical agents) and applications related to the information society, (software agents) highlighting the similarities and synergies among physical and software agents. In this special issue we will show several works from those groups, focusing on the recent advances in Physical Agents

Creating Awareness of Autonomous Drones in STEM Career Development

Drones are a flexible and rapidly advancing technology. The drone’s development can benefit from low power artificial intelligence and autonomous systems. Purdue UAS Research and Test Facility (PURT) is hosting “2022 IEEE Autonomous Unmanned Aerial Vehicles (UAV) Competition” at the indoor Purdue Airport Hangar on April 8&9, 2022. The goal is to accelerate computer vision / artificial intelligence so that it can run on the embedded computers in UAV. In the session, participants will meet Purdue faculty and students. PURT program is currently reaching out to high schools in Indiana for STEM career exposure. High school teachers or education program providers are welcome to bring your students spectate the competition and/or other PURT activities