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Advancing Human and AI Collaboration
Human-robot collaboration is entering the market, becoming the new frontier in industrial robotics.
FREMONT, CA: The rise of the robots is poised to add a growing number of efficacies in today’s society, from factory automation to service applications to medical care and entertainment. Artificial Intelligence (AI) is, basically, the process of programming and designing algorithms, computers, and robots to develop and adapt based on data inputs to resolve problems, reveal insights, and make predictions. A steady analysis of AI envisions a world where people rather than competing should collaborate, with synthetically-smart machines to eradicate dangerous, tedious, and dirty tasks, in the process of liberating creativity. AI-enabled systems can now understand and synthesize massive amounts of data. Lawyers, doctors, and other specialists can draw upon these vast data sets to speedily diagnoze disease, recognize relevant case law, and expedite decision-making. Cyber-physical sensors can respond and predict natural disasters; humanoid robots can enter disaster zones and rescue survivors. Ultimately, the togetherness of human and robot will be able to gift industries with higher progress.
Integrating the strengths of human and robot, human-robot collaboration has progressively become the optimal alternative for industries to product quality, enhance productivity, and competitiveness. Compared to the traditional caged robots, collaborative robots, or cobots can work cautiously alongside humans without barriers to complete one or more responsibilities collaboratively and efficiently. The primitive customer drivers behind this substantial momentum range from the conventionalized demands for output expansion and labor alleviation, to the new ones. The usability of collaborative robot systems should also contribute to lessening the entry threshold to use partial automation for SMEs. Collaborative applications intend to be much easier to deploy and to use than conventional systems.
There is tremendous potential ahead for the deployment of human-robot collaboration in pharmaceutical, 3C, food, and logistics industries, which highlight limited space, high mix, and high flexibility. The robots can deliver repeatability, high speed, and consistent quality in contrast to human’s skills in cognition, adaptation, reaction, and improvisation. An appropriate mix of humans and robots will help industries to automate its production lines for the most beneficial return on their restricted investment. In addition to the lightweight cobots with a tiny footprint, giant robots can also work collaboratively with human co-workers. Even for big automotive plants, the most prominent user of gigantic robots, harnessing the power of human-robot collaboration will result in greater productivity. In primitive societies, industries employing robots solve this issue by not letting humans and robots share the workspace at any time. This is achieved by specifying safe zones using physical cages or lidar sensors.
The future cobots are presumed to be more intelligent, supported by AI and ML technologies. They feature ease-of-use, awareness of self and environment, safe collaboration, the mobility when needed, adaptability to the changing environment, and digital integration. With the advances of AI, autonomous robots could gradually have more proactive behaviors, mapping their motion in complicated unknown situations. These new inclinations keep safety as the primary issue and efficiency as secondary. To allow this modern generation of robot, many researches are being administered on scene reconstruction, human detection, motion planning, intelligent behavior through task planning and compliant behavior using force control.
The use of robots in industries is limited by the robots’ ability to cautiously collaborate and with human workers. Traditionally, robots used in industry settings have been significant, valuable instruments. Programmed to do a fixed set of repetitious tasks, these robots typically operated in isolation of human workers as a safety precaution. However, to meet consumer demands, today’s agile factories must respond swiftly to changes in product mix and type, and robots must be able to switch tasks easily. By understanding and comprehending social cues, robots can facilitate collaborative scenarios with humans.
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