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…eight-core CPU, a Mali G610 GPU, and an NPU with up to 6 TOPs with support for up to four MIPI CSI cameras. RGo Perception Engine can function in dynamic environments RGo’s Perception Engine is fully integrated into the JAGUAR board. It can track robot pose, location, and heading to centimeter-scale accuracy. RGo said its machine vision software can function…
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…program, which provides companies with GPU (graphic processing unit) support and AI platforms guidance. The company develops unique models for every one of its gripping applications, each requiring specific data sets. Picking from piles of wet, slippery chicken and other foods can be a tricky challenge. With Omniverse and Isaac Sim, Soft Robotics can create 3D renderings of chicken parts…
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…in its autonomous truck fleet. The update increased sensor redundancy and GPU processing power. “The Ryder facility will serve as a base to conduct testing and to validate the truckport operational model,” Burnette added. “Leveraging existing infrastructure eliminates the need for Kodiak to build and develop real estate, and it allows us to focus on launching and scaling driverless truck…
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June 2026 Robotics Recap
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…KinetIQ AI brain utilizes NVIDIA GPUs for large-scale model training, the open NVIDIA Isaac Sim and Isaac Lab frameworks for simulation and digital twin development, and edge computing with NVIDIA Jetson to run real-time robotic behaviors on the robots. Humanoid said that it is also adopting NVIDIA Isaac GR00T N1.7, an open reasoning vision language action (VLA) model to scale…
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…commercial workforce tasks. Building next-generation GPU infrastructure to accelerate training and simulation: This compute foundation will power Helix’s core models for perception, reasoning and control. Launching advanced data collection efforts: These include data collection of human video and multimodal sensory inputs, to improve how robots understand and operate in complex, dynamic settings. Figure said these real-world datasets are essential to…
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…occurring in a timely fashion. GPU-accelerated AI Training Dynamic driving tasks as defined by the SAE include: object and event detection, recognition, and classification; object and event response; maneuver planning; steering, turning, lane keeping and lane changing; acceleration and deceleration; and showing light, signaling and gesturing. Focusing on GPU-driven autonomous car development, graphics processing unit (GPU) maker NVIDIA has developed…
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…ms latency decisions, with cloud GPUs for digital twins, simulation and V2X integration. Asynchronous delivery ecosystem: Unattended pickup and drop‑off via smart receptacles and multimodal logistics combining ground robots and drones for true last‑inch delivery. Cloud teleoperation and orchestration: scalable, safe autonomy with remote assistance, fleet coordination and continuous performance optimization. Together, Ottonomy said that these layers deliver an adaptive,…
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…3.0 of its software, including GPU (graphics processing unit) acceleration for geometry visualization and modification. “What used to take eight hours with a CPU now takes 10 seconds with a GPU—we're not just designing but are also iterating in real-time,” Scott said. “Rethinking geometry is more intuitive than putting numbers into an equation. We're at a unique place, combining automation…
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…beyond. Powered by the NVIDIABlackwell GPU and featuring 128GB of memory, Jetson Thor delivers up to 2070 FP4 teraflops of AI compute to effortlessly run the latest generative AI models - all within a 130-watt power envelope. Compared with its predecessor, NVIDIA Jetson Orin, Jetson Thor delivers up to 7.5x higher AI compute and 3.5x greater energy efficiency. “This initiative…
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…orchestration for load balancing across GPUs. Additionally, models for filtering, captioning, and embedding need optimization to maximize throughput. NeMo Curator can overcome these challenges by streamlining data curation with automatic pipeline orchestration to reduce processing time. It supports linear scaling across multi-node multi-GPU systems, with the capability to handle over 100 petabytes of data. NVIDIA said this feature can help…
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…that integrates a powerful ISP, GPU and NSPU, running Yocto Linux OS. Luxonis said this positions OAK as the industry’s most advanced spatial-AI sensors that run completely standalone, requiring no external host system or cloud compute. With 52 TOPS of AI inferencing capacity, they can run multiple computer-vision models at high frame rates, including their proprietary Neural Stereo Depth estimation…
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…ground up to utilize NVIDIA GPU technologies,” said Jerone Floor, vice president of product at Seoul Robotics. “As we expose more customers to this technology, the demand for performance goes up and, in turn, more computing power is required.” “For example, our recently released inclement weather filter feature uses advanced AI algorithms to filter out noise caused by snow, dust,…
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…robots. This ROS package is GPU-accelerated and uses NITROS to create efficient ROS pipelines with no communication overhead. It is also integrated with Nav2. For more information, see the Isaac ROS Map Localization package on GitHub. NVIDIA Isaac ROS Map Location package automatically calculates initial global pose in less than half a second. Image shows RVIZ on the left, and…
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…Thor, powered by NVIDIA Blackwell GPU architecture. The company added that its platform delivers a generational leap in performance, offering up to 2,070 FP4 TFLOPS of AI compute within a highly efficient 130W power envelope. Compared to its predecessor, NVIDIA Jetson AGX Orin, Lanner said that NVIDIA Jetson Thor series provides: 7.5x greater AI compute performance. 3.5x improved energy efficiency.…
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
Look beyond the headlines for the latest in humanoid robots
