Results 181 to 190 of about 4,796,198 (343)
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang +4 more
wiley +1 more source
Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning. [PDF]
Shiyu F.
europepmc +1 more source
Research on Inverse Dynamics and Trajectory Planning for the 3-PTT Parallel Machine Tool
Ming Hu, Suoxian Yuan
openalex +2 more sources
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Global minimum time trajectory planning considering curvature and distance for track racing. [PDF]
Zhang D, Yuan Y, Zhu F.
europepmc +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Research on UAV Autonomous Trajectory Planning Based on Prediction Information in Crowded Unknown Dynamic Environments. [PDF]
Tang J +5 more
europepmc +1 more source
A Time optimal path planning for trajectory tracking of wheeled mobile robots [PDF]
R. Vivekananthan, L. Karunamoorthy
openalex
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source

