Outputs (103)

Laser powder bed fusion of TiB2-modified Cu15Ni8Sn alloy: Processability, microstructure and mechanical performance (2022)
Journal Article

Cu15Ni8Sn is widely used in the aerospace and electronics domains because of its good conductivity and toughness. Due to the material's high laser reflectivity and thermal conductivity, however, employing the laser powder bed fusion (LPBF) additive m... Read More about Laser powder bed fusion of TiB2-modified Cu15Ni8Sn alloy: Processability, microstructure and mechanical performance.

Saltwater-responsive bubble artificial muscles using superabsorbent polymers (2022)
Journal Article

Robots operating in changing underwater environments may be required to adapt to these varying conditions. In tidal estuaries, for example, where the degree of salinity cycles in step with the level of the water, a robot may need to adapt its behavio... Read More about Saltwater-responsive bubble artificial muscles using superabsorbent polymers.

Graphene-based anti-corrosive coating on steel for reinforced concrete infrastructure applications: Challenges and potential (2022)
Journal Article

Steel corrosion has been a major perpetual issue of concern for durability and structural integrity of steel and reinforced concrete infrastructure. Polymeric, zinc-galvanic and chromate conversion coatings are commonly applied to protect typical ste... Read More about Graphene-based anti-corrosive coating on steel for reinforced concrete infrastructure applications: Challenges and potential.

Biomimetic force and impedance adaptation based on broad learning system in stable and unstable tasks: Creating an incremental and explainable neural network with functional linkage (2022)
Journal Article

This article presents a novel biomimetic force and impedance adaption framework based on the broad learning system (BLS) for robot control in stable and unstable environments. Different from iterative learning control, the adaptation process is real... Read More about Biomimetic force and impedance adaptation based on broad learning system in stable and unstable tasks: Creating an incremental and explainable neural network with functional linkage.

Neuromorphic liquids, colloids and gels: A review (2022)
Journal Article

Advances in flexible electronic devices and robotic software require that sensors and controllers be virtually devoid of traditional electronic components, be deformable and stretch-resistant. Liquid electronic devices that mimic biological synapses... Read More about Neuromorphic liquids, colloids and gels: A review.

The impact of data sonification in virtual reality robot teleoperation (2022)
Journal Article

Virtual Reality (VR) is being increasingly used to provide a more intuitive and embodied approach to robotic teleoperation, giving operators a sense of presence in the remote environment. Prior research has shown that presence can be enhanced when ad... Read More about The impact of data sonification in virtual reality robot teleoperation.

An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer (2022)
Journal Article

This paper presents a new method to calculate the inversion of the controlled linear/nonlinear dynamic plants which are described by input–output differential equation models. This new U-model-based inverter (U-inverter), cancels both system dynamics... Read More about An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer.

GA-AHP Method to support robotic polishing process planning (2022)
Journal Article

The finishing stage of mould manufacturing is generally completed via mechanical polishing, manual conducted. Not only is this the most expensive phase of the process but also is currently struggling with a deficit of skilled workers. To address thes... Read More about GA-AHP Method to support robotic polishing process planning.

A collaboration scheme for controlling multimanipulator system: A game-theoretic perspective (2022)
Journal Article

In some task-oriented multimanipulator applications, the system not only needs to complete the main assigned tasks, but also should optimize some subobjectives. In order to tap the redundancy potential of individual manipulators and improve the perfo... Read More about A collaboration scheme for controlling multimanipulator system: A game-theoretic perspective.

A comprehensive expectation identification framework for multirate time-delayed systems (2022)
Journal Article

The expectation maximization (EM) algorithm has been extensively used to solve system identification problems with hidden variables. It needs to calculate a derivative equation and perform a matrix inversion in the EM-M step. The equations related to... Read More about A comprehensive expectation identification framework for multirate time-delayed systems.