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How to open application in robot framework?

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Proceedings Article•DOI A formal approach in robot development process using a UML model Olarn Wongwirat, T. Hanidthikul, N. Vuthikulvanich - Show less +2 more 01 Dec 2008	By following the formal standard development process using the UML model, the application of robot can be implemented rapidly and efficiently.
Open access•Proceedings Article•DOI Model-Based Programming of Modular Robots David Arney, Sebastian Fischmeister, Insup Lee, Yoshihito Takashima, Mark Yim - Show less +4 more 05 May 2010 16 Citations	And third, the framework supports formal verification of the control application to aid the gait and task developer in identifying problems and bugs before the deployment and testing on the physical robot.
Proceedings Article•DOI The design and evaluation of a cooperative handheld robot Austin Gregg-Smith, Walterio W. Mayol-Cuevas - Show less +1 more 26 May 2015 17 Citations	The robot is offered as an open robotics platform[1] and the results indicate directions to improve on feedback and interaction mechanisms.
Proceedings Article•DOI A Component Based Hybrid Embedded Framework for Mobile Robot Wei Ren, Ding-Xin He, Jin Zhao - Show less +2 more 14 Dec 2012	The presented framework is not limited for mobile robot, but also suitable for other embedded systems applications.
Proceedings Article•DOI Sensory Data Processing Middlewares for Service Mobile Robot Applications Eijiro Takeuchi, Takashi Tsubouchi - Show less +1 more 01 Dec 2006 14 Citations	The unified model abstracted from external sensors can be used in any application softwares for a service mobile robot independent from the configuration of the sensors.
Journal Article•DOI Application Framework for Development of Simulation Tools Dany Hajjar, Simaan AbouRizk - Show less +1 more 01 Jul 2000-Journal of Computing in Civil Engineering 57 Citations	An object-oriented application framework is a promising software engineering principle, which can help in overcoming this obstacle.
Book Chapter•DOI User-friendly robot environment for creation of social scenarios Tino Lourens, Emilia I. Barakova - Show less +1 more 30 May 2011 38 Citations	This paper proposes a user-friendly framework for designing robot behaviors by users with minimal understanding of programming.
Proceedings Article•DOI Ubiquitous robot simulation framework and its applications Minsu Jang, Jaehong Kim, Meekyoung Lee, Joo-Chan Sohn - Show less +3 more 05 Dec 2005 10 Citations	The framework can be used to observe how robots interact with environment via ubiquitous network.
Proceedings Article•DOI A framework for area coverage and the visual search for victims in USAR with a mobile robot Choon Yue Wong, Gerald Seet, Siang Kok Sim, Wee Ching Pang - Show less +3 more 01 Nov 2010	We find that the framework is suitable for implementation on a mobile robot for its envisioned purpose.
Journal Article•DOI A human-oriented framework for developing assistive service robots. Conor McGinn, Michael F. Cullinan, Mark Culleton, Kevin Kelly - Show less +3 more 01 Apr 2018-Disability and Rehabilitation: Assistive Technology	Application of the framework resulted in the development of a complex prototype that addressed many aspects of the functional and usability requirements of a personal service robot.
Proceedings Article•DOI Ubiquitous robot simulation framework and its applications Minsu Jang, Jaehong Kim, Meekyoung Lee, Joo-Chan Sohn - Show less +3 more 05 Dec 2005 10 Citations	Once connected to the framework, ubiquitous robot platform can percept and affect the world simulated in the framework.
Proceedings Article•DOI A Simulation Framework for Human-Robot Interaction Norbert Schmitz, Jochen Hirth, Karsten Berns - Show less +2 more 10 Feb 2010 11 Citations	In this paper, we propose a robot development framework that is able to simulate all required modules of the robot, its sensor system as well as its environment including persons.
Proceedings Article•DOI uRON v1.5: A device-independent and reconfigurable robot navigation library Sunglok Choi, Jae-Yeong Lee, Wonpil Yu - Show less +2 more 01 Oct 2010	Users can achieve their robot service easily and quickly with this framework.
Journal Article•DOI Power and force limiting on industrial robots for human-robot collaboration P. Aivaliotis, Sotiris Aivaliotis, Christos Gkournelos, K. Kokkalis, George Michalos, Sotiris Makris - Show less +5 more 01 Oct 2019-Robotics and Computer-integrated Manufacturing 52 Citations	The discussed models can be extended for application in the implementation of human robot collaborative applications.
Proceedings Article•DOI i*Chameleon: a scalable and extensible framework for multimodal interaction Wai Wa Tang, Kenneth W. K. Lo, Alvin T. S. Chan, Stephen C. F. Chan, Hong Va Leong, Grace Ngai - Show less +5 more 07 May 2011 11 Citations	The framework can also be used for developing new applications with multimodal interactions, for example, distributed applications in collaborative environments or robot control.
Open access•Journal Article•DOI Different Applications of Mobile Robots in Education Boris Crnokic, Miroslav Grubisic, Tomislav Volarić - Show less +2 more 30 Sep 2017	Application of robot as a real system supports strengthening specific areas of knowledge and skills that the students develop through design, creation, assembly and operating with the robot.
Open access•Proceedings Article•DOI A quantitative technique for analysing robot-human interactions Kerstin Dautenhahn, I. Werry - Show less +1 more 10 Dec 2002 111 Citations	We propose that this technique is applicable to a wide range of application areas that involve robot-human interactions.

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What are hybrid mobile robots?

Hybrid mobile robots are a novel class of robots that combine both mobility and manipulation capabilities. These robots utilize parallel mechanism configurations and coordinated wheel actuators to achieve hybrid moving and manipulation functions efficiently. They stand out from traditional mobile manipulators by integrating mobile wheel actuators with parallel mechanism topology, enhancing manipulation accuracy and stability while reducing actuation requirements. Hybrid mobile robots are designed to operate in various environments, including outdoor scenarios, where sensor selection and navigation schemes play crucial roles. They can autonomously navigate, position, and plan paths in unstructured environments, making them suitable for applications like autonomous warehousing logistics and multi-robot systems. These robots represent a significant advancement in the field of robotics, offering versatility and efficiency in diverse operational settings.How are automous drones used in environmental monitoring?

Autonomous drones play a crucial role in environmental monitoring by detecting pollution, monitoring ecosystems, and aiding in decision-making processes. They are equipped with sensors to collect data on air, water, and soil quality. Drones are utilized to monitor atmospheric pollution, aquatic environments, and terrestrial ecosystems, providing enhanced spatial and temporal coverage compared to traditional methods. Additionally, drones are employed to monitor indicators like visitor-created trails and vegetation loss in parks, aiding in land management decisions to reduce recreational impacts. Furthermore, drones are used for monitoring forest fires and their impacts on ecosystems, with applications in detecting wildfires and observing wildlife during such events. Overall, autonomous drones offer a versatile and efficient solution for various environmental monitoring needs.What is Lego positioning in toy industry?

LEGO holds a unique position in the toy industry as a versatile and creative medium for both children and adults. Initially targeted at children, LEGO has successfully expanded its appeal to adults, particularly through the Adult Fans of LEGO (AFOLs) community, who engage in creating, sharing, and selling custom LEGO designs. The LEGO Ideas platform exemplifies the company's engagement with adult fan labor, providing a space for fans to submit and vote on new product ideas, showcasing a collaborative relationship between fans and the brand. Additionally, LEGO's acquisition of Bricklink, a popular aftermarket LEGO marketplace, highlights the company's efforts to regulate and monetize fan engagement with their products, showcasing a strategic approach to controlling the LEGO ecosystem.What are the baby cues according to synactive theory?

The synactive theory of development, as outlined in the Newborn Individualized Developmental Care and Assessment Program® (NIDCAP), identifies various baby cues that indicate stress or stability. These cues include movements such as flexing and extending arms and legs, hand gestures like finger splay and fisting, facial expressions like frowning and yawning, as well as tongue extensions and eye movements. Additionally, the model emphasizes the importance of interpreting these cues in response to different stimuli, ranging from non-intrusive to painful procedures, to assess the infant's well-being accurately. The theory also highlights the dynamic interplay of various subsystems within the infant's organism, such as the autonomic system, motor system, attentional-interactive system, and self-regulatory system, in understanding the individual infant.What are the current limitation on lab assistant service robots?

Current limitations on lab assistant service robots include the need for extensive training and integration time into laboratory environments, as highlighted in various research papers. Robots, despite their capabilities in performing tasks like pipetting with superhuman precision, require significant effort for validation and integration, often involving personnel of higher expertise levels. Additionally, while robots offer benefits like improved work efficiency and management of laboratory equipment, they may face challenges related to mobility and response to voice commands, impacting their overall effectiveness in laboratory settings. Moreover, the use of robots in laboratory automation introduces longer transport times, which can be a drawback depending on the specific requirements of the laboratory.What are types of machine learning?

Machine learning encompasses three main types: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data to make predictions or classifications. Unsupervised learning, on the other hand, deals with unlabeled data to find hidden patterns or groupings. Reinforcement learning focuses on training models to make sequences of decisions by rewarding desired behaviors. These types of machine learning have diverse applications across various fields, including chemistry, healthcare, and bioinformatics. Each type of machine learning presents unique challenges and opportunities for advancing technology and improving decision-making processes in different domains.What are the current developments for intent recognition?

Current developments in intent recognition span various fields. In rehabilitation robotics, studies focus on recognizing movement intent through kinematic, sEMG, and EEG signals, with challenges like hysteresis and weak anti-interference abilities. In combat scenarios, a hierarchical aggregation model utilizing CNN, Bi-LSTM, and attention mechanisms achieves 88.83% accuracy in identifying air target intent. Smart homes leverage cheap sensors and ProbLog for logical and probabilistic reasoning to infer residents' intentions for tailored assistance. Additionally, an offline intent recognition system for dynamic motions shows superior performance in inferring timing and direction of human operator intent, aiding in threat evasion scenarios. These advancements highlight the diverse applications and methodologies employed in intent recognition research across different domains.How will AI affect employment rate?

AI's impact on employment rates is multifaceted. Studies suggest that automation driven by AI and Machine Learning could affect around 42% of the Canadian labor force, indicating a significant susceptibility to job displacement. Furthermore, research on a panel of 33 OECD countries reveals that a 10% increase in industrial robots correlates with a 0.42 point rise in the unemployment rate, with stronger effects observed in certain demographic groups, potentially contributing to labor market polarization. In China, it is estimated that over 76% of total employment will be influenced by AI in the next 20 years, emphasizing the need for public policy interventions to create new jobs that can offset those lost to automation. These findings collectively highlight the complex and varied ways in which AI could impact employment rates globally.What is agricultural robot?

An agricultural robot is a mechanized system designed to automate various tasks in farming, such as planting, harvesting, fertilizing, and detection, aiming to enhance efficiency and reduce labor-intensive processes. These robots integrate advanced technologies like computer vision, speech recognition, and robotics to perform specific agricultural operations accurately and autonomously. For instance, they can sow seeds, water crops, detect soil conditions, and even control the movement of the robot through Bluetooth connectivity with smartphones. By utilizing sensors, microcontrollers, and mobile applications, agricultural robots contribute to increased productivity, reduced environmental impact, and improved management of agricultural tasks, ultimately benefiting farmers by simplifying farming processes and enhancing overall agricultural output.How to calculate joint angles from imus?

To calculate joint angles from IMUs, various methods and technologies have been developed. Studies have shown that using Euler angle decomposition and Kalman-based filters can achieve accurate measurements for humerothoracic joints. Additionally, utilizing functional joint axis calibration tasks and kinematic constraints on gyroscope data can enhance accuracy for elbow joint measurements. Recurrent neural network (RNN) models have been proposed to estimate joint angles based on 6-axis IMUs without magnetometers, outperforming traditional Kalman filter approaches. Furthermore, sensor fusion algorithms like Madgwick and Mahony have shown promising results in estimating joint kinematics during activities of daily living, with optimizations significantly improving performance. These advancements enable real-time and high-precision joint angle measurements, even in scenarios where traditional sensors like encoders are not feasible.Is there work in robotics on potential fields that use the dynamics of the robot?

Yes, there is ongoing work in robotics that focuses on potential fields utilizing the dynamics of the robot. Research has explored novel approaches like using virtual fields to define desired trajectories for robot movement, enabling control over direction and speed. Additionally, studies have proposed improved artificial potential field algorithms that consider factors like gravity imbalance, local minima, and local oscillations, enhancing the robot's ability to reach targets quickly and stably. Furthermore, simulations have been conducted to plan paths for mobile robots in 2D spaces by analyzing attractive forces towards targets and repulsive forces from obstacles, effectively guiding robot motion while avoiding collisions. These advancements showcase the integration of potential fields with robot dynamics to enhance path planning and navigation strategies in robotics.