#advancedrobotics

[researchatory]

The Future of Gripping MOGrip's Multi-Object Mastery | @researchatory

Witness the future of robotic manipulation! Researchers have developed MOGrip, a revolutionary gripper inspired by the human hand, capable of grasping, storing, moving, and placing multiple objects simultaneously. See how this groundbreaking technology is set to transform industries like logistics and manufacturing.

#MOGrip #MultiObjectGrasping #roboticsinnovation #advancedrobotics #simultaneous #roboticgripper #automation #robotics #sciences #research #futureofrobotics #breakthrough #seeittobelieveit

The development of MOGrip represents an advancement in robotic manipulation by mimicking the dexterity of the human hand for multi-object handling in less structured environments. This technology has the potential to significantly improve efficiency and flexibility in various industrial and domestic applications.

By @imaakashkhurana For more details join our medium page. (https://medium.com/@researchatory)

[ai-network]

Ultra Mobility Vehicle (UMV): RAI Institute's Robotic Bike

The Real Life Excitebike by RAI Institute

The Robotics and AI Institute (RAI Institute), known for pioneering innovations in robotics and artificial intelligence, has recently unveiled the Ultra Mobility Vehicle (UMV), a groundbreaking robotic bike capable of balancing without traditional gyroscopic technology. Leveraging the power of reinforcement learning, the UMV sets a new benchmark for adaptive robotic mobility, demonstrating capabilities previously unseen in similar devices. Introduction to the Ultra Mobility Vehicle (UMV) Unlike conventional self-balancing bikes that rely on heavy and complex gyroscopes, the UMV achieves stability through a sophisticated yet lightweight mechanism involving dynamic adjustments of a weighted top section and precise steering of its front wheel. This advancement represents a significant leap forward, potentially reshaping the future of robotic transportation and exploration. How Does the UMV Achieve Balance Without a Gyroscope? The core of the UMV's impressive balancing act is its use of reinforcement learning (RL), a specialized machine-learning technique. RL enables the UMV to continuously improve its stability and maneuverability by interacting with its environment, receiving instant feedback, and optimizing its responses over time. Instead of traditional gyroscopes or complex stabilization systems, the UMV's mechanism revolves around two primary actions: - Steering Adjustments: Precision steering through the front wheel helps maintain directional stability. - Dynamic Weight Shifting: An adjustable weighted top section shifts vertically, mimicking human-like balancing actions. This dual-action strategy allows the UMV to respond rapidly to real-world conditions, adjusting seamlessly to changes in terrain and rider demands.   Impressive Capabilities and Versatile Performance The RAI Institute's UMV doesn't just balance-it excels in performing complex and dynamic maneuvers that highlight its versatility: - Terrain Adaptability: The UMV effortlessly navigates challenging and uneven terrains, a capability essential for rugged outdoor environments or hazardous exploration sites​. - Advanced Jumping Mechanics: Utilizing an articulated arm mechanism, the UMV can jump onto elevated surfaces, expanding its usability in complex urban or industrial settings​. - Backward Riding Stability: One of its standout features, backward riding-highly challenging for traditional control methods-is efficiently managed by reinforcement learning, ensuring consistent performance even on unstable grounds​. - Stunt and Trick Execution: From performing wheelies to executing a "track-stand" (a stationary balance position), the UMV demonstrates a wide range of skills valuable for entertainment and demonstration purposes​. The UMV's performance is not just theoretical-it has been effectively demonstrated in controlled tests and demonstrations documented by the RAI Institute.   The UMV Training Process: From Simulation to Reality Developing the UMV involved a rigorous, multi-stage process ensuring reliability and performance consistency: 1. Simulation-Based Training Initial training of the UMV took place in virtual simulations, allowing it to develop basic balancing skills and maneuvering capabilities without physical risk​. 2. Real-World Testing Following successful simulation, real-world testing was conducted to validate and further refine the UMV's skills, ensuring the vehicle could adapt to real-life physical constraints and unpredictability's​. 3. Data Integration A continuous loop of data from real-world tests was integrated back into the simulations, bridging the gap between virtual and physical environments. This iterative improvement cycle significantly enhanced the UMV's performance and adaptability​.   Potential Applications and Future Impact The UMV technology has vast implications across several industries, notably: - Logistics and Delivery: The UMV's agility and terrain adaptability make it ideal for transporting goods in challenging or congested environments, such as warehouses, urban centers, or disaster relief scenarios. - Exploration and Hazardous Environments: The bike's ability to navigate and adapt autonomously is valuable for exploring remote or dangerous areas, such as disaster sites or extraterrestrial landscapes. - Entertainment and Demonstrations: With its capacity to perform visually captivating stunts and maneuvers, the UMV could revolutionize entertainment venues, live events, and promotional demonstrations. These potential uses underscore the versatility and practicality of reinforcement learning in robotic design, possibly leading to lighter, smarter, and more capable robotic systems.   Addressing Technical Challenges: RL vs. MPC One of the UMV's most challenging tasks-riding backward on uneven surfaces-highlights the advantages of reinforcement learning over traditional control methods like Model Predictive Control (MPC). Where MPC struggles to maintain stability under such complex conditions, RL thrives, enabling the UMV to remain balanced and responsive​. RAI Institute Conclusion: Reinforcement Learning Paves the Way Forward The UMV by RAI Institute represents a transformative shift in robotic mobility, demonstrating the powerful capabilities enabled by reinforcement learning. By successfully eliminating gyroscopic dependency, this technology has paved the way for the next generation of lightweight, adaptive, and highly capable robots. As research and development continue, we can anticipate increasingly sophisticated robotics, impacting sectors such as logistics, exploration, entertainment, and beyond. The UMV isn't just a technical breakthrough; it's a clear indication of the vast potential awaiting in the integration of AI-driven learning methods with robotics.   Read the full article

[jpptech]

Empowering Innovation: The Pioneering Spirit of LJ Projects Robotics

In the dynamic world of robotics, where innovation is the cornerstone of progress, LJ Projects Robotics stands out as a beacon of advancement and creativity. Located at the heart of technological development, LJ Projects Robotics is an initiative that not only teaches but also inspires students and professionals alike to explore the endless possibilities in the realm of robotics. You can explore more about their visionary work on their website, LJ Projects Robotics.

Nurturing Future Innovators

LJ Projects Robotics is dedicated to nurturing the next generation of engineers, thinkers, and leaders. Their comprehensive educational programs are designed for a diverse range of participants, from young students just beginning their journey in robotics to advanced professionals looking to enhance their skills. The project's curriculum covers everything from basic mechanics and electronics to sophisticated programming and automation.

A Hands-On Approach to Learning

What sets LJ Projects Robotics apart is its hands-on approach to learning. The organisation believes that true understanding comes from doing. Thus, it provides abundant resources, including state-of-the-art robotics kits, workshops, and interactive sessions that allow learners to apply their knowledge practically. This method not only enhances learning outcomes but also ensures that participants are engaged and motivated throughout their educational journey.

Collaborative Projects and Real-World Applications

At LJ Projects Robotics, education transcends traditional boundaries. The project emphasises the importance of collaborative learning and encourages students to work on group projects. These projects are designed to mimic real-world scenarios, providing students with a taste of what working in the robotics industry entails. Whether it’s designing a robot for agricultural applications or developing automated solutions for healthcare, students are given the opportunity to tackle relevant and impactful challenges.

State-of-the-Art Facilities

To support its cutting-edge curriculum, LJ Projects Robotics boasts state-of-the-art facilities equipped with the latest technologies in robotics and automation. These facilities serve as both a classroom and a laboratory, where ideas can be tested and refined in a controlled environment. The organisation’s commitment to providing top-tier resources underscores its mission to deliver an unparalleled educational experience.

Community Engagement and Outreach

Understanding the importance of community, LJ Projects Robotics extends its impact beyond the classroom through various outreach programs. These initiatives aim to raise awareness about the importance of STEM education and inspire a broader audience to consider careers in robotics. The project participates in community events, hosts open days, and runs demonstrations at schools to ignite interest in robotics and engineering among young students.

Industry Partnerships and Career Development

Recognising the rapid pace of technological advancement, LJ Projects Robotics maintains strong partnerships with leading companies and innovators in the robotics sector. These partnerships not only enhance the quality of the educational programs offered but also provide students with career development opportunities. Internships, job placements, and mentorship programs are just some of the ways in which LJ Projects Robotics prepares its participants for successful careers.

A Commitment to Accessibility

LJ Projects Robotics is committed to making robotics education accessible to all. The organisation offers scholarships and financial aid to ensure that no deserving student is turned away due to financial constraints. This commitment to accessibility reflects the project's broader goal of fostering a diverse and inclusive community of learners and innovators.

Get Involved

For those interested in diving into the world of robotics, there’s no better place to start than LJ Projects Robotics. Whether you are a student eager to learn, a professional aiming to upskill, or a company looking to collaborate, there are numerous ways to get involved. Visit LJ Projects Robotics to discover more about their programs, sign up for workshops, or contribute to their mission of advancing robotics education.

This article highlights the multifaceted programs and initiatives of LJ Projects Robotics, designed to foster an environment of learning and innovation. It invites readers to engage directly through the included hyperlink, encouraging deeper exploration of what LJ Projects Robotics has to offer.

[sainichanchal]

Explore Robotics: Unlock Advanced Skills in Robotics Engineering

Take your passion for robotics to the next level with EasyShiksha’s Master in Robotics course. Learn advanced robotics techniques, gain hands-on experience with robotic systems, and develop the skills needed to excel in the field of robotics engineering.

[communitycanvas]

AI-Driven Cybernetic Innovation and Automation Design

[aurumproptech53]

Aurum PropTech 3.0 with Generative Artificial Intelligence

PropTech 3.0 with advancements in technologies including Generative Artificial Intelligence, IoT, Web3, Advanced Robotics, 3D Printing and Quantum Computing are reshaping the way we consume, build, interact and embrace the new era of real estate like never before!

[otaviogilbert]

The Future of Robotics: The World's Most Advanced AI Robots!

Explore the awe-inspiring future of robotics in our latest video! 🤖✨ Witness the most advanced AI robots pushing the boundaries of innovation. From cutting-edge technology to mind-blowing capabilities, this video is a journey into the next era of robotics. 🚀 Don't miss out on the excitement – click play now and be amazed!

[subscribe1]

"Unitree Go2: Smart AI-powered Robo-Dog - A Glimpse into the Future"

[ai-network]

Ultra Mobility Vehicle (UMV): RAI Institute's Robotic Bike

The Real Life Excitebike by RAI Institute

The Robotics and AI Institute (RAI Institute), known for pioneering innovations in robotics and artificial intelligence, has recently unveiled the Ultra Mobility Vehicle (UMV), a groundbreaking robotic bike capable of balancing without traditional gyroscopic technology. Leveraging the power of reinforcement learning, the UMV sets a new benchmark for adaptive robotic mobility, demonstrating capabilities previously unseen in similar devices. Introduction to the Ultra Mobility Vehicle (UMV) Unlike conventional self-balancing bikes that rely on heavy and complex gyroscopes, the UMV achieves stability through a sophisticated yet lightweight mechanism involving dynamic adjustments of a weighted top section and precise steering of its front wheel. This advancement represents a significant leap forward, potentially reshaping the future of robotic transportation and exploration. How Does the UMV Achieve Balance Without a Gyroscope? The core of the UMV's impressive balancing act is its use of reinforcement learning (RL), a specialized machine-learning technique. RL enables the UMV to continuously improve its stability and maneuverability by interacting with its environment, receiving instant feedback, and optimizing its responses over time. Instead of traditional gyroscopes or complex stabilization systems, the UMV's mechanism revolves around two primary actions: - Steering Adjustments: Precision steering through the front wheel helps maintain directional stability. - Dynamic Weight Shifting: An adjustable weighted top section shifts vertically, mimicking human-like balancing actions. This dual-action strategy allows the UMV to respond rapidly to real-world conditions, adjusting seamlessly to changes in terrain and rider demands.   Impressive Capabilities and Versatile Performance The RAI Institute's UMV doesn't just balance-it excels in performing complex and dynamic maneuvers that highlight its versatility: - Terrain Adaptability: The UMV effortlessly navigates challenging and uneven terrains, a capability essential for rugged outdoor environments or hazardous exploration sites​. - Advanced Jumping Mechanics: Utilizing an articulated arm mechanism, the UMV can jump onto elevated surfaces, expanding its usability in complex urban or industrial settings​. - Backward Riding Stability: One of its standout features, backward riding-highly challenging for traditional control methods-is efficiently managed by reinforcement learning, ensuring consistent performance even on unstable grounds​. - Stunt and Trick Execution: From performing wheelies to executing a "track-stand" (a stationary balance position), the UMV demonstrates a wide range of skills valuable for entertainment and demonstration purposes​. The UMV's performance is not just theoretical-it has been effectively demonstrated in controlled tests and demonstrations documented by the RAI Institute.   The UMV Training Process: From Simulation to Reality Developing the UMV involved a rigorous, multi-stage process ensuring reliability and performance consistency: 1. Simulation-Based Training Initial training of the UMV took place in virtual simulations, allowing it to develop basic balancing skills and maneuvering capabilities without physical risk​. 2. Real-World Testing Following successful simulation, real-world testing was conducted to validate and further refine the UMV's skills, ensuring the vehicle could adapt to real-life physical constraints and unpredictability's​. 3. Data Integration A continuous loop of data from real-world tests was integrated back into the simulations, bridging the gap between virtual and physical environments. This iterative improvement cycle significantly enhanced the UMV's performance and adaptability​.   Potential Applications and Future Impact The UMV technology has vast implications across several industries, notably: - Logistics and Delivery: The UMV's agility and terrain adaptability make it ideal for transporting goods in challenging or congested environments, such as warehouses, urban centers, or disaster relief scenarios. - Exploration and Hazardous Environments: The bike's ability to navigate and adapt autonomously is valuable for exploring remote or dangerous areas, such as disaster sites or extraterrestrial landscapes. - Entertainment and Demonstrations: With its capacity to perform visually captivating stunts and maneuvers, the UMV could revolutionize entertainment venues, live events, and promotional demonstrations. These potential uses underscore the versatility and practicality of reinforcement learning in robotic design, possibly leading to lighter, smarter, and more capable robotic systems.   Addressing Technical Challenges: RL vs. MPC One of the UMV's most challenging tasks-riding backward on uneven surfaces-highlights the advantages of reinforcement learning over traditional control methods like Model Predictive Control (MPC). Where MPC struggles to maintain stability under such complex conditions, RL thrives, enabling the UMV to remain balanced and responsive​. RAI Institute Conclusion: Reinforcement Learning Paves the Way Forward The UMV by RAI Institute represents a transformative shift in robotic mobility, demonstrating the powerful capabilities enabled by reinforcement learning. By successfully eliminating gyroscopic dependency, this technology has paved the way for the next generation of lightweight, adaptive, and highly capable robots. As research and development continue, we can anticipate increasingly sophisticated robotics, impacting sectors such as logistics, exploration, entertainment, and beyond. The UMV isn't just a technical breakthrough; it's a clear indication of the vast potential awaiting in the integration of AI-driven learning methods with robotics.   Read the full article

[trendstorm]

Robotics Revolution | The Rise of Intelligent Robots #robotics #robots #aiandrobotics #futuretech

https://www.youtube.com/watch?v=YDX7_VSm9KQ Subscribe to Trend Storm for daily videos!!! #robotics #robotrevolution #aiandrobotics #futureofrobotics #roboticsengineering #automation #trendstorm #robottechnology #intelligentmachines #techinnovation #ai #robotdesign #smartrobots #roboticengineering #innovation #robottechnology #Robots2024 #advancedrobotics #automationtechnology #techrevolution #roboticarm #airevolution #nextgen #roboticautomation #roboticsolutions #futuretech #automationengineering #techinspiration #innovationintech #humanoidrobots #roboticsinnovation #aiinnovation #engineeringmarvels #industrialrobots #techadvancements #roboticseducation #robotprogramming #machinelearning #futureofautomation #cuttingedgetech #robottechnology #aiandautomation #techtrends #roboticslab #autonomousrobots #technologytrends #engineeringexcellence #futureofrobotics #smarttechnology #robotictechnology #aiandmachinelearning #advancedtechnology #futureoftech #roboticstechnology #roboticrevolution #smartautomation #roboticsolutions #futureinnovation #techworld #engineeringinnovation #futurerobots Robotics Robotics Engineering Robot Revolution Robotics Technology Intelligent Robots Future of Robotics Automation and Robotics AI and Robotics Robotics Industry Humanoid Robots Robotics Innovation Robotics and AI Advanced Robotics Robotics Design Robotic Automation Robot Programming Robotics Research Robotics Future Robotics Development Autonomous Robots The Future of Robotics: Innovations Shaping Tomorrow Inside the World of Robotics: From Concept to Reality Robotics Unleashed: Exploring the Cutting-Edge Technologies Building the Future: The Rise of Intelligent Robots Robotics Revolution: How Robots Are Changing Our World The Art of Robotics: Designing Tomorrow’s Machines From Code to Motion: The Science of Robotics Robot Uprising: The Next Frontier in Automation Engineering Marvels: The Fascinating World of Robotics Robots in Action: The Future of Human-Machine Interaction via Trend Storm https://www.youtube.com/channel/UCF1F2JAMftAe2z2hl32FXmQ September 30, 2024 at 05:30PM

[makanabazari]

Yemen must become province of Iran. Yemen is province of Iran. The capital city is in Iran between Persian Gulf and Caspian Sea. Makan Abazari Shahan Shah Iran is the Government. The name of unified Empire is Iran. Makan Abazari Shahan Shah Iran is the Government.

Iran and Yemen must improve relations while ensuring Iran has all the advantages. Yemen must become province of Iran. I have brought rain to Iran, Yemen, Middle East, Horn of Africa, North Africa, Ghafghaz, Greater Iran, Greater Middle East, Central Asia, Afghanistan, Pakistan, India, Balkan, Italy, West China, and South West Russia.

Yemen, Middle East, Horn of Africa, North Africa, Ghafghaz, Greater Iran, Greater Middle East, Central Asia, Afghanistan, Pakistan, India, Balkan, Italy, West China, and South West Russia are provinces of Iran. The capital city is in Iran between Persian Gulf and Caspian Sea. Makan Abazari Shahan Shah Iran is the Government. The name of unified Empire is Iran. Makan Abazari Shahan Shah Iran is the Government.

Iran must have military and naval military presence in Yemen. Iran must have presence on Red Sea, Bob Al-Mandib, and Gulf of Eden in Yemen. Yemen and others are not allowed in Iran.

Industrialize Iran and Yemen at max effeciency and max capacity building Industries, tech, high tech, factories, manufacturing, advanced manufacturing, wheels of industries, industrial supply chains, part manufacturing, industrial part manufacturing, tech part manufacturing, tech supply chains, supply chains, finished industrial products industries, finished products industries, finished tech products industries, high end manufacturing, industrial systems, industrial complex, industrial core, industrial cities, industrial towns, industrial metropolitans, industrial cosmopolitans, advanced tech, tech manufacturing, electric industries, electrical industries, electric manufacturing, chemical industries, chemical manufacturing, agrochemical, cleaners, strategic chemicals, high tech chemicals, machinery industries, machinery manufacturing, manufacturing machinery, machinery factories, industrial machinery, semiconductors machinery, construction machinery, automation machinery, computers manufacturing, computers industries, personal computers, applied computers manufacturing, supercomputers, industrial computers, space computers, quantom computers, quantom hardwares, integerated quantom hardwares, quantom telescopes, telescope computers, applied computers, economics computers, computational computers, research computers, advanced computers, computer cities, computer hardware manufacturing, quantom hardware manufacturing, electronics, consumer electronics, electronics manufacturing, microelectronics, nanoelectronics, pickoelectronics, macroelectronics, advanced electronics, applied electronics, semiconductors, semiconductor manufacturing, strategic semiconductors, chip making industries, chip manufacturing, kit manufacturing, biotechnology, bioengineering, tissue engineering, systems biology, metabolite engineering, physiology engineering, tissue engineering, bioreactors, biotech industries, nanotech industries, selfassembly, programmable material, advanced materials, strategic material, material science, material engineering, nanorobotics, pharmaceuticals industries, pharmacology industries , biomedical engineering, biomedical industries, medical equipment manufacturing, medical engineering, medicine, advances medicine, healing, art of healing, laboratory equipment manufacturing, scientific instrumentation, insturmentation, automation, robotics, advancedrobotics, robotics manufacturing, robotics industries, industrial robotics, cyber manufacturing, mech, mech manufacturing, mechatronics, mechatronics manufacturing, Metallurgy, steel and aluminum, metal casting, steel mills, iron works, lithium industries, alloys, Petrochemical refineries, added value petrochemicals, petrochemical supply chains, finished petrochemical products, oil refineries, jer fuels, car fuels, truck fuels, ship fuels, dissel fuels, car manufacturing, engine manufacturing, jet engine manufacturing, heavy engine manufacturing, heavy dury engine manufacturing, dissel engine manufacturing, electric engine manufacturing, car manufacturing, truck manufacturing, bus manufacturing, vehicle manufacturing, cargo truck manufacturing, train manufacturing, locomotive manufacturing, wagon manufacturing, metro train manufacturing, supersonic train manufacturing, superconductor train manufacturing, hyperloops, freight stations, train stations, bus stations, bus terminals, airports, cargo aurports, ports, sea ports, lauch pad, space launch pad, launch vehicles, multilaunch vehicles, aerospaces, aeronautics, astronautics, cosmonautics, cosmodom, spacr stations, satellites, shuttles, probes, spaceships, startships, prob, space transit, space computers, space manufacturing, space reactors, telescope reactors, space station reactors, cargo aircraft manufacturing, passenger aircraft manufacturing, transport aircraft manufacturing, aircraft manufacturing, ship building industries, cargo ship building industries, shipyards, automated ship building industries, robotic aircraft manufacturing, robotic car manufacturing, assembly, mass production lines, fiberoptics, fiberglass, pla

[bahaa46464646]

Optimize strategies with advanced trading robots.

StrategyOptimization #AdvancedRobots

[wipayshop]

GT Wonder Boy Smart Social Companion Humanoid Robot Artificial Intelligence Robotics Voice Command - Activate specified functions by speaking directly to your GT Wonder Boy. Link:https://www.royalof.com/humanoid-robot-artificial-intelligence-robotics #Humanoid #Artificialintelligence #Robot #Robotics, #Artificialrobot #Humanoidrobots #Homerobots #Humanoidrobots #Advancedrobot (at Chicago, Illinois) https://www.instagram.com/p/B88RZxplm6G/?igshid=fy3rjlcf7lao

[iampjr]

#USSteel partners with Carnegie Foundry to accelerate and scale industrial automation driven by #advancedrobotics and #AI. https://t.co/k6f3kgb03W

#USSteel partners with Carnegie Foundry to accelerate and scale industrial automation driven by #advancedrobotics and #AI. https://t.co/k6f3kgb03W — Patrick Rooney (@patrickrooney) Jan 29, 2022 https://platform.twitter.com/widgets.js from Twitter https://twitter.com/patrickrooney