A government robot in Gumi, South Korea, designed by Bear Robotics, fell down a set of stairs and was reported to have "committed suicide." This administrative robot was responsible for delivering documents within the city council building and had features like elevator usage and a LiDAR sensor. The robot, seen circling in one spot before the fall, couldn't avoid the stairs. The city council has decided not to replace it.
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Building or modifying a robot? Specifically, are you working on something with autonomy that needs to understand an unfamiliar environment? Then you’re likely looking at adding two key sensors: A depth camera and a LiDAR unit. Check out the full article by InDro Robotics here: https://lnkd.in/evryipHR
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The humanoid robot H1 from Unitree Robotics measures 1.80 meters in height and weighs 47 kilograms, walking at a speed of 5.5 km/h, equivalent to what a human can do. Equipped with a depth camera and a 3D LiDAR, it can map its surroundings in 3D, giving it a precise understanding of nearby objects and surfaces. On the official site it costs $150K. With its integrated AI, it is currently the most high-performing and cost-effective humanoid robot available on the market! The previous speed record for a humanoid was set by Atlas from Boston Dynamics, which moved at a speed of 8.9 km/h (2.5 m/s).
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Recently, brought home a vacuum cleaning robot, think of it as a Made in India variant of Roomba, only fraction of the cost. It's the first consumer robot in my arsenal, and I've been closely observing its path planning approach. The robot utilizes cliff sensors to detect edges and obstructions that it could topple over, which is quite neat. It has four of them, covering all bases. What's interesting, though, is that it uses lidar for navigation. It always treats curtains as obstacles and leaves a path under them in all rooms. However, those curtains are feather-light and start flying when the fan is turned on. I wonder why it doesn't compare this with its previous runs to realize that these are visually perceived obstacles but penetrable. Is there an alternative approach to fix this? Perhaps a touch sensor that learns the physical properties, like the inertia of a curtain, to inform the robot it's penetrable? It already has a bumper sensor in the front, but, of course, it doesn't bump into curtains as the lidars preemptively avoid them.
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Embedded Intern @Cirus Defence | Ex -Robotics Software Intern @IITD-AIA FSM |Ex-Robotics Research Intern @SUTD | Prototype - Funding Recipient at 19 | 2M+ Impressions| Passionate about Data Science and Robotics
Train Inspection Robot!!! 🔍 In just 32 minutes, this robot can inspect 14,000 points at a distance of 120 meters for a single train. Introducing to you TVIS 1000 robot developed by Shenhao Robotics International. This robot has solved the problem of labrous manual train bottom inspections with soo much efficiency. How does it work though ? This bot is equipped with two robotic arms,with a sophisticated vision system comprising LiDAR and a 3D camera. Utilizing these factors it inspects conditions like leakage, joint bars , rail ends and hidden anomalies at bottom of the train . What do you think about the TVIS 1000's ability to revolutionize train inspections? Video credit: Lukas M. Ziegler
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🚀 Setting Up a Robotics System 🤖 Would you be able to create a robot simulation from scratch? Certainly, follow the below steps: 1. 🏞️ Build and set up your environment simulation in Gazebo. 🌐 Start the simulation and add your robot. 2. 🚗 Test teleoperation to ensure everything works. ⚙️ Adjust friction coefficients for smooth movement. 3. 🕵️♂️ Configure sensors (like lidar or cameras). 🛠️ Set up sensor communication and mapping. 📍 Ensure accurate odometry. 4. 🗺️ Configure your navigation system. 🧭 Verify all previous steps for optimal navigation. And that's it! You've built an autonomous robot from the ground up!
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𝐊𝐈-𝐁𝐮𝐧𝐝𝐞𝐬𝐯𝐞𝐫𝐛𝐚𝐧𝐝 | Co-Founder 𝐧𝐞𝐮𝐬𝐢𝐧𝐠𝐞𝐫.𝐚𝐢 | 𝐊𝐞𝐲𝐧𝐨𝐭𝐞 𝐒𝐩𝐞𝐚𝐤𝐞𝐫 | +𝟏𝟐.𝟓𝟎𝟎 𝐅𝐨𝐥𝐥𝐨𝐰𝐞𝐫𝐬 | Mit 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞 ins 𝐊𝐈-𝐙𝐞𝐢𝐭𝐚𝐥𝐭𝐞𝐫 | 𝐆𝐞𝐧𝐀𝐈
#𝐀𝐢𝐎𝐫𝐍𝐨𝐭𝐀𝐢: 𝐓𝐡𝐞 𝐚𝐫𝐬𝐨𝐧𝐢𝐬𝐭 𝐫𝐨𝐛𝐨𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐨𝐫𝐝𝐞𝐫 𝐥𝐞𝐠𝐚𝐥𝐥𝐲 𝐢𝐧 𝐦𝐚𝐧𝐲 𝐜𝐨𝐮𝐧𝐭𝐫𝐢𝐞𝐬 🔥 Throwflame 's #Thermonator, touted as the "first-ever flamethrower-wielding robot dog," is a quadruped robot with an ARC flamethrower, capable of throwing flames up to 30 feet, remotely controlled via smartphone, and priced at $9,420. The fan fact is that it is legal in 48 states. 🌐 Equipped with a Lidar sensor for obstacle avoidance, laser sighting, first-person-view navigation through an onboard camera, and powered by a one-hour battery, the Thermonator uses technology from the Unitree Robotics #Go2 robot. 🛑 While marketed for wildfire control (due to the fact that the robot performs “controlled burns”), agricultural management, and entertainment, safety concerns arise due to its potential to start wildfires and cause injuries, which may limit its practical usage. 🗣 I would definitely have some “safety concerns” if I see that robot in my yard. Credit for information to WIRED Credit for video to YouTube Channel “Throwflame” Might be interesting to Mark Winker Ethen Laing Tobias Claus Jiri Tuma Dr.-Ing. Eike Wolfram Schäffer Amir Sanatkar Rob Knight Billy Cogum Christine Raibaldi Rastko Litricin #AI #Robotics #Fire
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Summary series of Robotics/AI development over several years Episode 1 My first crafted automated model car in 2020. It took 3 months to build it up, and it has all kinds of sensors, camera, lidar, gps, IMU.
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🚨 Ensuring Safety with the T16AMR Robotic Scrubber! 🚨 As a dedicated advocate for workplace safety, I'm thrilled to highlight the exceptional safety features of the T16AMR Robotic Scrubber. ✅ Advanced Navigation: With cutting-edge navigation technology, the T16AMR efficiently maneuvers through spaces while intelligently avoiding obstacles, ensuring a safe environment for both operators and bystanders. ✅ Collision Detection: Equipped with lidar technology as well as 2D and 3D cameras, the T16AMR detects and reacts to unexpected obstacles in its path, minimizing the risk of collisions and potential hazards. ✅ Emergency Stop Functionality: In the event of an emergency, the T16AMR features an instant stop function, allowing operators to halt its operation promptly and prevent any accidents. ✅ Remote Monitoring: With remote monitoring capabilities, supervisors can oversee the operation of the T16AMR in real-time, ensuring compliance with safety protocols and immediate intervention if necessary. By prioritizing safety at every step of its design, the T16AMR Robotic Scrubber offers peace of mind in demanding industrial environments. Join us in embracing innovation while maintaining a commitment to workplace safety! #SafetyFirst #Robotics #Innovation #WorkplaceSafety #T16AMR
Don't trust that our robotics solutions are best in class? Watch this! 👀 The T16AMR is equipped with a state-of-the-art 2D and 3D camera system that allows it to perceive its surroundings with remarkable precision. It's advanced LIDAR (Light Detection and Ranging) sensors accurately scan the area in front and to the sides of the machine for a wide range of potential obstacles, navigating around them with ease With a keen focus on safety, safety, safety and operational excellence, the T16AMR stands as a testament to the next generation of cleaning technology. 📷 @TennantEMEA #RoboticScrubber #TennantCompany #T16AMR #IndustrialScrubber
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Linking the ever more powerful abilities of AI with the ever more powerful abilities of robots. What could possibly go wrong? #ai #robotics #futureofwork
🤖 𝐀 𝐫𝐨𝐛𝐨𝐭 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐝𝐫𝐢𝐯𝐞 𝐚 𝐜𝐚𝐫! Created by the University of Tokyo, Musashi uses cameras for eyes to see and drive. It controls the steering wheel, ignition, and signals with its hands, and pedals with its feet. The cool part? It doesn’t need fancy sensors like LiDAR. Still in early testing, Musashi needs to speed up its hand movements for better driving. Exciting future for robots and driving! What do you think? Credit: YT/ JSK Tendon Group ---- 🤖 Contact us if you made a great AI tool to be featured: https://lnkd.in/d5VZ-W8H #robotics #artificialintelligence #technology
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Here is what embracing ICT can do Hon Tatenda Mavetera, Douglas Mboweni, Audrey Simbiso Chidawanyika, MBA, Ignatius Mpando. I applaud you Roundtable Art. Further to your agenda........ If we provide our young children with the basics in ICT, such as ground-breaking technology could be coming from our very own. If not originating from here, then adapting, copying and coping with these trends will be just a matter of course!
🤖 𝐀 𝐫𝐨𝐛𝐨𝐭 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐝𝐫𝐢𝐯𝐞 𝐚 𝐜𝐚𝐫! Created by the University of Tokyo, Musashi uses cameras for eyes to see and drive. It controls the steering wheel, ignition, and signals with its hands, and pedals with its feet. The cool part? It doesn’t need fancy sensors like LiDAR. Still in early testing, Musashi needs to speed up its hand movements for better driving. Exciting future for robots and driving! What do you think? Credit: YT/ JSK Tendon Group ---- 🤖 Contact us if you made a great AI tool to be featured: https://lnkd.in/d5VZ-W8H #robotics #artificialintelligence #technology
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