Results 161 to 170 of about 63,676 (305)
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Copulae of probability measures on product spaces [PDF]
It has been proved (Sklar, 1959, Publ. Inst. Statist. Univ. Paris 8 229-231) that any multivariate distribution function depends on its arguments only through its marginal distributions.
Scarsini, Marco
core
Micro‐ and nanorobots for targeted thrombolysis. This perspective elaborates on the clinical indication of blood clot disorders and current limitations for treatment. As a novel, alternative solution, micro‐ and nanorobots can be used to treat and break down thrombi.
Joshua M. Mesfin +3 more
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A light-weight symptom checker and its methodological validation. [PDF]
Löwe W, Löwe G.
europepmc +1 more source
Convergence topologies for measures and the existence of transition probabilities [PDF]
openaire +3 more sources
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
Convergence en loi de Dirichlet de certaines intégrales stochastiques [PDF]
Récemment, Bouleau a proposé une extension du principe d'invariance fonctionnelle de Donsker qui met en évidence la convergence en loi de Dirichlet d'une marche aléatoire erronée vers la structure d'Ornstein-Uhlenbeck sur l'espace de Wiener.
Christophe Chorro
core

