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The emergence of care robotics - A patent and publication analysis
Care robots are a means to support elderly people affected by physical or mental handicaps to remain as autonomous as possible or regain already lost autonomy (e.g. running stairs). They also support care-takers when working with handicapped. We review the emergence of care robotics and particularly offer answers to two research questions: Which organizations and individuals in which countries have been and are active in research and development? How has research and development emerged with regard to activity focus, intensity levels and cooperation?
The analysis rests on PATSTAT patent and ISI Web of Science publication data. Bibliographic and network analyses are conducted on country, organization (i.e. universities and firms) and individual levels. We find that care robotics research and development activities have constantly increased since the late 1970s. Today Japanese universities and firms are the most active players, while in early stages US and European organizations pioneered care robotics research. Starting from six disjunctive small networks, several highly interconnected care robotics research networks have evolved. However, most cooperation clusters are still found within the same country. Only few international hubs emerged. Among them are two Japanese organizations (ATR, AIST) and Carnegie Mellon University, US.This is the accepted manuscript. The final version is available from Elsevier at http://www.sciencedirect.com/science/article/pii/S004016251400275
Artificial intelligence applications in space and SDI: A survey
The purpose of this paper is to survey existing and planned Artificial Intelligence (AI) applications to show that they are sufficiently advanced for 32 percent of all space applications and SDI (Space Defense Initiative) software to be AI-based software. To best define the needs that AI can fill in space and SDI programs, this paper enumerates primary areas of research and lists generic application areas. Current and planned NASA and military space projects in AI will be reviewed. This review will be largely in the selected area of expert systems. Finally, direct applications of AI to SDI will be treated. The conclusion covers the importance of AI to space and SDI applications, and conversely, their importance to AI
Enhanced online programming for industrial robots
The use of robots and automation levels in the industrial sector is expected to grow, and is driven by the on-going need for lower costs and enhanced productivity. The manufacturing industry continues to seek ways of realizing enhanced production, and the programming of articulated production robots has been identified as a major area for improvement. However, realizing this automation level increase requires capable programming and control technologies. Many industries employ offline-programming which operates within a manually controlled and specific work environment. This is especially true within the high-volume automotive industry, particularly in high-speed assembly and component handling. For small-batch manufacturing and small to medium-sized enterprises, online programming continues to play an important role, but the complexity of programming remains a major obstacle for automation using industrial robots. Scenarios that rely on manual data input based on real world obstructions require that entire production systems cease for significant time periods while data is being manipulated, leading to financial losses. The application of simulation tools generate discrete portions of the total robot trajectories, while requiring manual inputs to link paths associated with different activities. Human input is also required to correct inaccuracies and errors resulting from unknowns and falsehoods in the environment. This study developed a new supported online robot programming approach, which is implemented as a robot control program. By applying online and offline programming in addition to appropriate manual robot control techniques, disadvantages such as manual pre-processing times and production downtimes have been either reduced or completely eliminated. The industrial requirements were evaluated considering modern manufacturing aspects. A cell-based Voronoi generation algorithm within a probabilistic world model has been introduced, together with a trajectory planner and an appropriate human machine interface. The robot programs so achieved are comparable to manually programmed robot programs and the results for a Mitsubishi RV-2AJ five-axis industrial robot are presented. Automated workspace analysis techniques and trajectory smoothing are used to accomplish this. The new robot control program considers the working production environment as a single and complete workspace. Non-productive time is required, but unlike previously reported approaches, this is achieved automatically and in a timely manner. As such, the actual cell-learning time is minimal
Innovative Tokyo
This paper compares and contrasts Tokyo's innovation structure with the industrial districts model and the international hub model in the literature on urban and regional development. The Tokyo model embraces and yet transcends both industrial districts and international hub models. The paper details key elements making up the Tokyo model-organizational knowledge creation, integral and co-location systems of corporate R&D and new product development, test markets, industrial districts and clusters, participative consumer culture, continuous learning from abroad, local government policies, the national system of innovation, and the historical genesis of Tokyo in Japan's political economy. The paper finds that the Tokyo model of innovation will continue to evolve with the changing external environment, but fundamentally retains its main characteristics. The lessons from the Tokyo model is that openness, a diversified industrial base, the continuing development of new industries, and an emphasis on innovation, all contribute to the dynamism of a major metropolitan region.Labor Policies,Environmental Economics&Policies,Public Health Promotion,ICT Policy and Strategies,Agricultural Knowledge&Information Systems,ICT Policy and Strategies,Environmental Economics&Policies,Health Monitoring&Evaluation,Agricultural Knowledge&Information Systems,Innovation
An intelligent, free-flying robot
The ground based demonstration of the extensive extravehicular activity (EVA) Retriever, a voice-supervised, intelligent, free flying robot, is designed to evaluate the capability to retrieve objects (astronauts, equipment, and tools) which have accidentally separated from the Space Station. The major objective of the EVA Retriever Project is to design, develop, and evaluate an integrated robotic hardware and on-board software system which autonomously: (1) performs system activation and check-out; (2) searches for and acquires the target; (3) plans and executes a rendezvous while continuously tracking the target; (4) avoids stationary and moving obstacles; (5) reaches for and grapples the target; (6) returns to transfer the object; and (7) returns to base
An Integrated Computer-Aided Robotic System for Dental Implantation
This paper describes an integrated system for dental implantation including both preoperative planning utilizing computer-aided technology and automatic robot operation during the intra-operative stage. A novel two-step registration procedure was applied for transforming the preoperative plan to the operation of the robot, with the help of a Coordinate Measurement Machine (CMM). Experiments with a patient-specific phantom were carried out to evaluate the registration error for both position and orientation. After adopting several improvements, registration accuracy of the system was significantly improved. Sub-millimeter accuracy with the Target Registration Errors (TREs) of 0.38±0.16 mm (N=5) was achieved. The target orientation errors after registration and after phantom drilling were 0.92±0.16 ° (N=5) and 1.99±1.27 ° (N=14), respectively. These results permit the ultimate goal of an automated robotic system for dental implantation
Intelligent collision avoidance system for industrial manipulators
Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanåThe new paradigm of Industry 4.0 demand the collaboration between robot and humans.
They could help (human and robot) and collaborate each other without any additional
security, unlike other conventional manipulators. For this, the robot should have the
ability of acquire the environment and plan (or re-plan) on-the-fly the movement avoiding
the obstacles and people.
This work proposes a system that acquires the space of the environment, based on
a Kinect sensor, verifies the free spaces generated by a Point Cloud and executes the
trajectory of manipulators in these free spaces. The simulation system should perform
the path planning of a UR5 manipulator for pick-and-place tasks, while avoiding the
objects around it, based on the point cloud from Kinect. And due to the results obtained
in the simulation, it was possible to apply this system in real situations.
The basic structure of the system is the ROS software, which facilitates robotic applications
with a powerful set of libraries and tools. The MoveIt! and Rviz are examples
of these tools, with them it was possible to carry out simulations and obtain planning
results. The results are reported through logs files, indicating whether the robot motion
plain was successful and how many manipulator poses were needed to create the final
movement. This last step, allows to validate the proposed system, through the use of the
RRT and PRM algorithms. Which were chosen because they are most used in the field
of robot path planning.Os novos paradigmas da IndĂșstria 4.0 exigem a colaboração entre robĂŽs e seres humanos.
Estes podem ajudar e colaborar entre si sem qualquer segurança adicional, ao contrårio de
outros manipuladores convencionais. Para isto, o robĂŽ deve ter a capacidade de adquirir
o meio ambiente e planear (ou re-planear) on-the-fly o movimento evitando obstĂĄculos e
pessoas.
Este trabalho propÔe um sistema que adquire o espaço do ambiente através do sensor
Kinect. O sistema deve executar o planeamento do caminho de manipuladores que possuem
movimentos de um ponto a outro (ponto inicial e final), evitando os objetos ao seu
redor, com base na nuvem de pontos gerada pelo Kinect. E devido aos resultados obtidos
na simulação, foi possĂvel aplicar este sistema em situaçÔes reais.
A estrutura base do sistema é o software ROS, que facilita aplicaçÔes robóticas com
um poderoso conjunto de bibliotecas e ferramentas. O MoveIt! e Rviz sĂŁo exemplos
destas ferramentas, com elas foi possĂvel realizar simulaçÔes e conseguir os resultados de
planeamento livre de colisÔes.
Os resultados sĂŁo informados por meio de arquivos logs, indicando se o movimento
do UR5 foi realizado com sucesso e quantas poses do manipulador foram necessĂĄrias criar
para atingir o movimento final. Este Ășltimo passo, permite validar o sistema proposto,
através do uso dos algoritmos RRT e PRM. Que foram escolhidos por serem mais utilizados
no ramo de planeamento de trajetĂłria para robĂŽs
Analysis and Observations from the First Amazon Picking Challenge
This paper presents a overview of the inaugural Amazon Picking Challenge
along with a summary of a survey conducted among the 26 participating teams.
The challenge goal was to design an autonomous robot to pick items from a
warehouse shelf. This task is currently performed by human workers, and there
is hope that robots can someday help increase efficiency and throughput while
lowering cost. We report on a 28-question survey posed to the teams to learn
about each team's background, mechanism design, perception apparatus, planning
and control approach. We identify trends in this data, correlate it with each
team's success in the competition, and discuss observations and lessons learned
based on survey results and the authors' personal experiences during the
challenge
Literature Review For Networking And Communication Technology
Report documents the results of a literature search performed in the area of networking and communication technology
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