Results 221 to 230 of about 3,109,027 (342)
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source
Fuel‐free Cu2O‐based micromotors functionalized with β‐cyclodextrin actively remove bisphenol A from water under visible light. The cyclodextrin shell captures BPA and enhances micromotor motility, leading to faster degradation and higher overall removal than nonfunctionalized Cu2O and Cu2O@Au.
Luisa Natalia Cordoba Urresti +3 more
wiley +1 more source
Obstacle-avoidance trajectory planning method for excavators in confined spaces based on improved RRT* algorithm. [PDF]
Fu S, Lin C, Yao Z, Lin T, Chen Q.
europepmc +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source
Development and Validation of a Computer-Assisted Screw Trajectory Planning Model Based on Iterative Closest Point Registration and Weighted K-Nearest Neighbors Algorithms for Cortical Bone and Pedicle Screw Techniques. [PDF]
Tuoheti A +7 more
europepmc +1 more source
Feasibility of a Patient-Specific Digital Twin for Ventriculoperitoneal Shunt Trajectory Planning [PDF]
Kritsanavis Chongsrid +4 more
openalex +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source

