Touchless interactive teaching of soft robots through flexible bimodal sensory interfaces
In this paper, we propose a multimodal flexible sensory interface for interactively teaching
soft robots to perform skilled locomotion using bare human hands. First, we develop a …
soft robots to perform skilled locomotion using bare human hands. First, we develop a …
A review of the high-mix, low-volume manufacturing industry
The high-mix, low-volume (HMLV) industry has seen growth in the need for product
customisation with research to increase manufacturers' flexibility for the variation in market …
customisation with research to increase manufacturers' flexibility for the variation in market …
Hybrid offline programming method for robotic welding systems
Offline programming is an intuitive and automatic programming generation technique that
does not use real robotic systems, thus greatly decreasing the downtime required for system …
does not use real robotic systems, thus greatly decreasing the downtime required for system …
CoboSkin: Soft robot skin with variable stiffness for safer human–robot collaboration
Conventional industrial robots are unable to guarantee the inherent safety when working
together with humans due to the use of rigid components and the lack of force sensation. To …
together with humans due to the use of rigid components and the lack of force sensation. To …
Development of a pipeline inspection robot for the standard oil pipeline of China national petroleum corporation
H Li, R Li, J Zhang, P Zhang - Applied Sciences, 2020 - mdpi.com
Featured Application This paper presents a promising solution for the use of a robotic
system to remotely perform inspection tasks in the oil pipelines. Abstract The periodic …
system to remotely perform inspection tasks in the oil pipelines. Abstract The periodic …
Finite-time disturbance observer-based trajectory tracking control for flexible-joint robots
This paper proposes a robust finite-time control scheme for the high-precision tracking
problem of (FJRs) with various types of unpredictable disturbances. Specifically, based on a …
problem of (FJRs) with various types of unpredictable disturbances. Specifically, based on a …
Optimal energy operation strategy for we-energy of energy internet based on hybrid reinforcement learning with human-in-the-loop
This article investigates the energy operation problem based on We-Energy (WE), a novel
full-duplex model in Energy Internet (EI). A dual-objective optimal energy operation model of …
full-duplex model in Energy Internet (EI). A dual-objective optimal energy operation model of …
Human-robot skills transfer interface for UAV-based precision pesticide in dynamic environments
X Zhou, J He, D Chen, J Li, C Jiang, M Ji… - Assembly Automation, 2021 - emerald.com
Purpose Nowadays, the global agricultural system is highly dependent on the widespread
use of synthetic pesticides to control diseases, weeds and insects. The unmanned aerial …
use of synthetic pesticides to control diseases, weeds and insects. The unmanned aerial …
A human–robot collaboration method using a pose estimation network for robot learning of assembly manipulation trajectories from demonstration videos
The wide application of industrial robots has greatly improved assembly efficiency and
reliability. However, determining how to efficiently teach a robot to perform assembly …
reliability. However, determining how to efficiently teach a robot to perform assembly …
Human–robot collaborative assembly based on eye-hand and a finite state machine in a virtual environment
X Zhao, Y He, X Chen, Z Liu - Applied Sciences, 2021 - mdpi.com
With the development of the global economy, the demand for manufacturing is increasing.
Accordingly, human–robot collaborative assembly has become a research hotspot. This …
Accordingly, human–robot collaborative assembly has become a research hotspot. This …