Autonomous vision-based low-altitude pipe tracking by multicopter: The validation of fully autonomous vision-based low-altitude pipe tracking has been done in GAZEBO simulation. The pipe geometry with various joints has been created in a simulation environment to test the performance of the algorithm during the turn. Milestone completed: -> Development of vision strategy for vision-based control of multicopter. -> Implementation of homographic transformation to improve the tracking performance. ->Design and heuristically tuning of sliding mode controller. To test the algorithm in a real scenario the Convolution neural network has been designed by amalgamation of DeepLabv3+ and Squeeze Net. The model has been deployed on the NVIDIA Jetson Xavier-NX.
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Samples from running multimodal Efficient-Large-Model/VILA1.5-3b on video sequences using Jetson AGX Orin, captured at the live rate. Video Credit: NVIDIA Developer #ai #artificialintelligence #machinelearning #technology #engineering
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NVIDIA just announced Project GROOT, a new foundation model developed for controlling humanoid robots. It is powered by NVIDIA's GPU-accelerated simulations, allowing humanoid robots to mimic human actions with precision by learning through imitation in the real (and digital) world. It can also interpret multimodal instructions and historical interactions to determine its actions. Here below you can find the introduction video. But my question is... how ready are we to embrace this fusion of human creativity and AI's capabilities? #NVIDIA #AI #Innovation #DigitalHumans #ArtificialIntelligence Thanks for sharing Steve Nouri, Muhammad Ehsan, Endrit Restelica, Universal Robots, Akshika Wijesundara, PhD - e/acc, Alex Wang, Jason Jackson, Riccardo Monticelli, BFM Business, Rohith Kumar Singarapalli
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AI enthusiast, Early Adopter, Philosopher of Media, Board Trustee of General Semantics Institute, Professor/Researcher at UP.
The new technology: Robots…
I get the current obsession with generative AI. But there's another emerging technology that isn't getting enough attention. Next-generation, physically realistic simulations. Simulations are a whole new control system for the video game we call reality. They're a foundational technology, because they'll allow us to build and train so many other technologies at lightspeed. We're going to build an army of humanoid robots inside simulations. I wrote about all this in The Exponentialist a couple of months ago. And last week at the GTC conference Nvidia announced GR00T, its new foundation model for humanoids. It can be used alongside its Isaac Sim robot simulation environment. This is going to push humanoid training to another level. And it's yet another powerful advantage for Nvidia. An update coming for Exponentialist subscribers this month, and much more coming soon. Next question: if a humanoid robot helper was affordable today, would you buy one?
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Lecturer at Politeknik Malaysia
10moDo you have github for this?