Fore Excel’s Post

Imagine capturing precise finger movements underwater! 🤯 At MANUS, we’re always pushing the boundaries of what our #Metagloves can do. Did you know that with the right preparation, our #motioncapture gloves can even be used in watery conditions?💧 This opens up endless possibilities for industries like marine research, underwater robotics, and even virtual production in aquatic environments! From intricate hand movements to fine motor control, the ability to capture data beneath the surface could unlock new frontiers in innovation. 💡 The question is: What will you create with this power?

Meet WildCat— Boston Dynamics' bio-inspired marvel, crafted to redefine speed and agility in legged robotics. Equipped with advanced hydraulics, dynamic balance control, and a roaring combustion engine, WildCat channels the raw power and elegance of the animal kingdom. Reaching speeds of up to 19 mph, it replicates a cheetah’s running motion with precision, thanks to a lightweight frame, innovative algorithms, and a spine-like structure for efficient strides. Even on rugged terrain, its robust actuators ensure stability and control. The future of robotics is fast, powerful, and fascinating. What’s your take? #robotics #future #technology

The combination of robotics and ai would be an enlightening experience to the greatest of the minds this world has , at scale it's even productive and dangerous. This machine in the video could run at 150km/hr speed . If it is equipped enough to .

Our team has designed stereo vision systems for use in space, and our 3D stereo vision algorithms were initially developed by our academic partners for the Mars Rover missions. These algorithms use semi-global matching (SGM), an algorithm considered one of the leading dense stereo matches. Benefits include fast processing speeds, parallelisation, robustness and accuracy, making SGM the preferred choice for a wide range of practical applications such as robotics, navigation and industrial processes. Find out more about our technologies here: https://bit.ly/3ZnOj89 𝐢𝟑𝐃 𝐫𝐨𝐛𝐨𝐭𝐢𝐜𝐬 - 𝑠ℎ𝑎𝑝𝑖𝑛𝑔 𝑜𝑢𝑟 𝑙𝑒𝑔𝑎𝑐𝑦 𝑡ℎ𝑟𝑜𝑢𝑔ℎ 𝑖𝑛𝑡𝑒𝑙𝑙𝑖𝑔𝑒𝑛𝑡 𝑣𝑖𝑠𝑖𝑜𝑛 𝑎𝑝𝑝𝑙𝑖𝑐𝑎𝑡𝑖𝑜𝑛𝑠. #stereovision #spacescience #stereomatchingalgorithms

The more I learn about AI the more I am excited to take part in a seemingly limitless career field.

Our team has designed stereo vision systems for use in space, and our 3D stereo vision algorithms were initially developed by our academic partners for the Mars Rover missions. These algorithms use semi-global matching (SGM), an algorithm considered one of the leading dense stereo matches. Benefits include fast processing speeds, parallelisation, robustness and accuracy, making SGM the preferred choice for a wide range of practical applications such as robotics, navigation and industrial processes. Find out more about our technologies here: https://bit.ly/3ZnOj89 𝐢𝟑𝐃 𝐫𝐨𝐛𝐨𝐭𝐢𝐜𝐬 - 𝑠ℎ𝑎𝑝𝑖𝑛𝑔 𝑜𝑢𝑟 𝑙𝑒𝑔𝑎𝑐𝑦 𝑡ℎ𝑟𝑜𝑢𝑔ℎ 𝑖𝑛𝑡𝑒𝑙𝑙𝑖𝑔𝑒𝑛𝑡 𝑣𝑖𝑠𝑖𝑜𝑛 𝑎𝑝𝑝𝑙𝑖𝑐𝑎𝑡𝑖𝑜𝑛𝑠. #stereovision #spacescience #stereomatchingalgorithms

🚀 Four-legged, dog-like robot 'sniffs out' hazardous gases in hard-to-reach environments! 🚀 A team of researchers has equipped a dog-like quadruped robot with a mechanized arm designed to take air samples from potentially treacherous situations, such as abandoned buildings or fire scenes. This innovative robot, detailed in the journal Analytical Chemistry, walks the samples to a person who screens them for hazardous compounds. While the system needs further refinement, demonstrations show its potential value in dangerous conditions. Testing the air for hazardous chemicals in risky workplaces or after accidents is crucial yet perilous work. To safeguard humans, Bin Hu and colleagues are developing mobile detection systems for hazardous gases and volatile organic compounds (VOCs). These systems include remote-controlled sampling devices like aerial drones, tiny ships, and now, a dog-like robot with an articulated testing arm mounted on its back. This four-legged “lab” successfully navigated various challenging environments — from garbage disposal plants to chemical warehouses — to sample air for VOCs. Despite some navigation issues in bad weather, the robot efficiently collected air samples and returned them to a portable mass spectrometer (MS) for onsite analysis faster than traditional methods, all while keeping technicians safe. The robot-MS system represents a “smart” and safer approach for detecting potentially harmful compounds, showcasing a promising future for robotics in hazardous condition analysis. #Robotics #HazardDetection #AnalyticalChemistry #FutureTech

Our team has designed stereo vision systems for use in space, and our 3D stereo vision algorithms were initially developed by our academic partners for the Mars Rover missions. These algorithms use semi-global matching (SGM), an algorithm considered one of the leading dense stereo matches. Benefits include fast processing speeds, parallelisation, robustness and accuracy, making SGM the preferred choice in a wide range of practical applications such as robotics, navigation and industrial processes. Find out more about our technologies here: https://bit.ly/3ZnOj89 #stereovision #spacescience #stereomatchingalgorithms

📺 📺The recording from last week's webinar presented by University of Technology Sydney's Associate Professor Teresa Vidal Calleja, is now up on our YouTube channel. 📺 📺 In this technical talk, Teresa discusses her work on localisation, mapping, and planning using continuous space and time representations. She covers continuous time representations for inertial measurements, which are part of localisation and mapping frameworks like LiDAR/Inertial Measurement Units (IN2LAAMA) and Event-camera/Inertial (IDOL). She also talks about recent works on continuous space representations, including probabilistic spatial and distance fields (Log-GPIS) for 3D reconstruction and planning. Additionally, Teresa share works on continuous time and space representations for navigation in crowds, demonstrating the performance of these approaches with mobile robots, drones, and manipulators in various scenarios. 💡 Key Topics💡 ◼ Continuous Time Representations for Inertial Measurements ◼ Continuous Space Representations: Log-GPIS for 3D Reconstruction and Planning ◼ Navigation in Crowded Environments with Continuous Time and Space Representations Watch here 👉 https://lnkd.in/gYHp8Vih UTS Robotics Institute, Jonathan Roberts, Dr. Nathalie Sick, Gavin Paul, Matthias Guertler, Fouad (Fred) Sukkar, Marc Carmichael #advancedmanufacturing #collaborativerobots #cobotics #industryresearch #researchimpact