Results 51 to 60 of about 391,445 (269)
Hybrid-Diffusion Models: Combining Open-loop Routines with Visuomotor Diffusion Policies
Despite the fact that visuomotor-based policies obtained via imitation learning demonstrate good performances in complex manipulation tasks, they usually struggle to achieve the same accuracy and speed as traditional control based methods. In this work, we introduce Hybrid-Diffusion models that combine open-loop routines with visuomotor diffusion ...
Van Haastregt, Jonne +4 more
openaire +2 more sources
Reprogrammable multi‐material smart textiles knitted from liquid crystal elastomer fibers undergo 2D and 3D deformation under thermal and photo stimuli. Circularly knitted tubular structures reversibly contract in radial and axial directions, enabling autonomous climbing, liquid release, and micro pumping.
Xue Wan +8 more
wiley +1 more source
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasing.
Yong Wang +11 more
doaj +1 more source
Multistage Adaptive Estimation of Sparse Signals
This paper considers sequential adaptive estimation of sparse signals under a constraint on the total sensing effort. The advantage of adaptivity in this context is the ability to focus more resources on regions of space where signal components exist ...
Hero III, Alfred O., Wei, Dennis
core +1 more source
The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems [PDF]
Recent years have witnessed companies abandon traditional open-loop supply chain structures in favour of closed-loop variants, in a bid to mitigate environmental impacts and exploit economic opportunities.
Aris A. Syntetos +24 more
core +4 more sources
Smart Catheters for Diagnosis, Monitoring, and Therapy
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman +12 more
wiley +1 more source
This review examines how emerging enabling technologies enhance the physiological relevance, scalability, and reproducibility of kidney organoids, while advanced analytical approaches support model validation and deepen mechanistic insight into nephrotoxicity.
Helen Kearney +3 more
wiley +1 more source
Global water scarcity, climate variability, and rising input costs are pushing agriculture toward precise, evidence-based irrigation, yet many available systems remain proprietary, expensive, and difficult to adapt.
Prima Wijayakusuma +2 more
doaj +1 more source
Adaptive Laser Welding Control: A Reinforcement Learning Approach
Despite extensive research efforts in the field of laser welding, the imperfect repeatability of the weld quality still represents an open topic. Indeed, the inherent complexity of the underlying physical phenomena prevents the implementation of an ...
Giulio Masinelli +4 more
doaj +1 more source
Deep Reinforcement Learning for Tensegrity Robot Locomotion
Tensegrity robots, composed of rigid rods connected by elastic cables, have a number of unique properties that make them appealing for use as planetary exploration rovers.
Abbeel, Pieter +7 more
core +1 more source

