Abstract: The Rapidly-exploring Random Tree (RRT) algorithm based on random sampling has been widely applied in global path planning for robots due to its collision-free and asymptotically optimal ...
Abstract: In this paper, the formation obstacle avoidance problem of autonomous underwater vehicles (AUVs) under the disturbances of ocean currents is studied. A variable formation reconfiguration and ...
Warning: This project is currently not maintained. We'd welcome community support to maintain and update the project. If you're interested in contributing, please contact the PX4 development team ...
New MIT chip enables tiny drones and robots to create detailed 3D maps while using minimal power.
Aerospace and Mechanical Insider on MSN
Aurora’s integrated path to trusted AI autonomy in aircraft
The future of autonomous flight does not arrive in a single giant leap; it’s engineered incrementally, piece by piece, with ...
After testing dozens of robot vacuums at CNET Labs to see how well they clean and avoid obstacles, we discovered an unusual relationship. Ajay has worked in tech journalism for over a decade as a ...
Discover how Physical AI home robots 2026 navigation works with iRobot Roomba on‑device AI mapping, robot vacuum SLAM obstacle avoidance, and data‑efficient navigation AI. Pixabay, NickyPe In 2026, ...
Explore Strutt EV1 self‑driving wheelchair technology, how 360° LiDAR and Co‑Pilot AI enable indoor mapping navigation and obstacle detection for smarter autonomous mobility indoors. Strutt - Official ...
This project implements three fundamental navigation algorithms used in autonomous robotics, developed as part of my robotics engineering curriculum. The implementation uses ROS 2 (Robot Operating ...
To address the core challenges of inaccurate fruit occlusion localization and inefficient robotic arm dynamic obstacle avoidance in complex, unstructured agricultural environments, this study proposes ...
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