Long-term autonomous operation of a robotic swarm in harsh or inaccessible locations will require the ability of the swarm to manage operational details such as battery charging without human intervention. Small robots may not be able to manage their own power internally, via solar cells or fuel ...
In particular, sampling the complex, nonlinear dynamics associated with submesoscales ( < 1-10 km) requires new technologies and approaches. Here we introduce the Mini-Autonomous Underwater Explorer (M-AUE), deployed as a swarm of 16 independent vehicles whose 3D trajectories are measured near-...
DDDMR navigation is a navigation stack for mobile robot autonomously moving in 3D environment navigationmobile-robotsmove-basemobile-robotmobile-robot-navigationautonomous-robotsautonomous-navigationautonomous-mobile-robotsnavigation-stack3d-navigation UpdatedFeb 14, 2025 ...
The need for intelligent decision-making/autonomous mission planning in space systems includes the autonomous selection and sequencing of detection targets by deep space probes, organization of the construction and installation sequence by the on-orbit construction system, and arrangement of construction by...
Multisource software on multicore automotive ecus: combining runnable sequencing with task scheduling IEEE Trans. Ind. Electron., 59 (Oct 2012), pp. 3934-3942 View in ScopusGoogle Scholar [92] T. Victor, M. Rothoff, E. Coelingh, A. Ödblom, K. Burgdorf When autonomous vehicles are ...
So what would a retail company want with a bunch of robot bees? Bee colonies all over the world have been dying out, which is scary because of the vital role they play as pollinators. And having pollinated plants is an important factor in our national and global food supply. These ti...
abdulkadrtr/ROS2-FrontierBaseExplorationForAutonomousRobot Star55 Our autonomous ground vehicle uses Frontier Based exploration to navigate and map unknown environments. Equipped with sensors, it can avoid obstacles and make real-time decisions. It has potential applications in search and rescue, agricult...
Collision-free path planning and task scheduling optimization in multi-region operations of autonomous agricultural robots present a complex coupled problem. In addition to considering task access sequences and collision-free path planning, multiple fact
This paper addresses a new approach to navigate mobile robot in static or dynamic surroundings based on particle swarm optimization (PSO) and stream functions (or potential flows). Stream functions, which are introduced from hydrodynamics, are employed to guide the autonomous robot to evade the obst...
(LLMs) Learning for value alignment and RLHF Modeling and analysis of Generative AI agents Few-shot learning Distributionally-robust learning Adversarial learning Description: Autonomous Agents must sense, deliberate, act and communicate in potentially complex and uncertain environments. In addition, in ...