Results 151 to 160 of about 1,436,804 (281)
This study presents an integrated proof‐of‐concept robotic platform for targeted delivery applications. A hybrid magnetic actuation system achieves single‐input (z) multistate stabilization (x, y, ϕ, and θ) for precise capsule transport with submillimeter positioning accuracy.
Sejun Park +6 more
wiley +1 more source
Reinforcement Learning-Driven Autonomous Path Planning for Unmanned Surface Vehicles: Current Status, Challenges, and Future Prospects. [PDF]
Dong Z +5 more
europepmc +1 more source
Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin +4 more
wiley +1 more source
Automatic testing of maritime collision avoidance algorithms
For Autonomous Surface Vessels (ASVs) to be put into commercial operation and gain public acceptance, they will have to be as safe, or safer then similar vessels operated by humans. Today, maritime control systems are verified by class societies with established methods, such as hardware-in-the-loop (HIL)-testing.
openaire +1 more source
Deep learning-based automated positioning system for maxillary skeletal expander: development and clinical validation. [PDF]
Pan J +8 more
europepmc +1 more source
This review traces three decades of technological evolution in robot‐assisted fracture reduction systems, from early robotic concepts to clinically oriented platforms. Key advances in robotic architecture, navigation, path planning, interaction control, and surgical integration are summarized, while current translational challenges and future ...
Shaolong Kuang +5 more
wiley +1 more source
Advances in Optimized and Safe Path Planning of Marine Autonomous Surface Vehicles: A Review. [PDF]
Kou L, Gao X.
europepmc +1 more source
Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen +3 more
wiley +1 more source
Improved Immune Moth-Flame Algorithm for Intelligent Vehicle Parking Path Optimization. [PDF]
Chen Y, Wang L, Zhu X, Liu G.
europepmc +1 more source
Clarke Transform: A Lingua Franca for Continuum Robotics
Using the Clarke transform, both robot‐dependent mappings are known exactly for kinematic models, leading to a complete chain of transformations between spaces with associated abstraction. This eases the derivation. Therefore, proposing the Clarke transform as a lingua franca and utilizing a practical fact sheet can pave the way for more systematic ...
Reinhard M. Grassmann, Sami Haddadin
wiley +1 more source

