Sichao Liu
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View article: Liaohe-CobotMagic-PnP: an Imitation Learning Dataset of Intelligent Robot for Industrial Applications
Liaohe-CobotMagic-PnP: an Imitation Learning Dataset of Intelligent Robot for Industrial Applications Open
In Industry 4.0 applications, dynamic environmental interference induces highly nonlinear and strongly coupled interactions between the environmental state and robotic behavior. Effectively representing dynamic environmental states through…
View article: Interpretable Verification Mechanism for Trustworthy Industrial Large Model in Intelligent Manufacturing
Interpretable Verification Mechanism for Trustworthy Industrial Large Model in Intelligent Manufacturing Open
View article: Industrial Foundation Models (IFMs) for intelligent manufacturing: A systematic review
Industrial Foundation Models (IFMs) for intelligent manufacturing: A systematic review Open
View article: An Evaluation Method for the Skeleton Model Based on Function–Behavior–Structure Correlation Analysis
An Evaluation Method for the Skeleton Model Based on Function–Behavior–Structure Correlation Analysis Open
The skeleton model is an essential tool to support the top-down design of complex products, and the rationality of its design has a significant influence on the detailed design of products. However, the current skeleton models of complex p…
View article: Vision intelligence-conditioned reinforcement learning for precision assembly
Vision intelligence-conditioned reinforcement learning for precision assembly Open
View article: Multimodal human-robot collaboration: advancements and future directions
Multimodal human-robot collaboration: advancements and future directions Open
View article: Establishment and Synchronisation of Digital Twins for Multi-robot Systems in Manufacturing
Establishment and Synchronisation of Digital Twins for Multi-robot Systems in Manufacturing Open
View article: Multimodal human-robot collaboration: advancements and future directions
Multimodal human-robot collaboration: advancements and future directions Open
View article: Calcium enhanced the resistance against Phoma arachidicola by improving cell membrane stability and regulating reactive oxygen species metabolism in peanut
Calcium enhanced the resistance against Phoma arachidicola by improving cell membrane stability and regulating reactive oxygen species metabolism in peanut Open
View article: Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models Open
We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models capable of generating speech that is virtually indistinguishable from human speech. Seed-TTS serves as a foundation model for speech generation and e…
View article: PanGu-$π$ Pro:Rethinking Optimization and Architecture for Tiny Language Models
PanGu-$π$ Pro:Rethinking Optimization and Architecture for Tiny Language Models Open
The power of large language models (LLMs) has been demonstrated through numerous data and computing resources. However, the application of language models on mobile devices is facing huge challenge on the computation and memory costs, that…
View article: A Data-Efficient and General-Purpose Hand-Eye Calibration Method for Robotic Systems Using Next Best View
A Data-Efficient and General-Purpose Hand-Eye Calibration Method for Robotic Systems Using Next Best View Open
View article: Vision AI-based human-robot collaborative assembly driven by autonomous robots
Vision AI-based human-robot collaborative assembly driven by autonomous robots Open
Autonomous robots that understand human instructions can significantly enhance the efficiency in human-robot assembly operations where robotic support is needed to handle unknown objects and/or provide on-demand assistance. This paper intr…
View article: Transfer Learning and Augmented Data-Driven Parameter Prediction for Robotic Welding
Transfer Learning and Augmented Data-Driven Parameter Prediction for Robotic Welding Open
View article: Integrating Large Language Model for Natural Language-Based Instruction toward Robust Human-Robot Collaboration
Integrating Large Language Model for Natural Language-Based Instruction toward Robust Human-Robot Collaboration Open
View article: Cognitive neuroscience and robotics: Advancements and future research directions
Cognitive neuroscience and robotics: Advancements and future research directions Open
In recent years, brain-based technologies that capitalise on human abilities to facilitate human–system/robot interactions have been actively explored, especially in brain robotics. Brain–computer interfaces, as applications of this concep…
View article: Transcriptome analysis showed that tomato-rootstock enhanced salt tolerance of grafted seedlings was accompanied by multiple metabolic processes and gene differences
Transcriptome analysis showed that tomato-rootstock enhanced salt tolerance of grafted seedlings was accompanied by multiple metabolic processes and gene differences Open
Introduction Grafting is a commonly used cultural practice to counteract salt stress and is especially important for vegetable production. However, it is not clear which metabolic processes and genes are involved in the response of tomato …
View article: Research on Optimization of Momentum Source Model to Supercritical Carbon Dioxide Flow in Wire Wrapped Rods Bundle
Research on Optimization of Momentum Source Model to Supercritical Carbon Dioxide Flow in Wire Wrapped Rods Bundle Open
View article: Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives Open
Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for strict requirements of human-centricity, sustainability, and resilience. However, existing HRC development mainly undertakes either a human-dominant or robot-dom…
View article: Exploring self-organization and self-adaption for smart manufacturing complex networks
Exploring self-organization and self-adaption for smart manufacturing complex networks Open
Trends toward the globalization of the manufacturing industry and the increasing demands for small-batch, short-cycle, and highly customized products result in complexities and fluctuations in both external and internal manufacturing envir…
View article: Effects of Applying Different Organic Materials on Grain Yield and Soil Fertility in a Double-Season Rice Cropping System
Effects of Applying Different Organic Materials on Grain Yield and Soil Fertility in a Double-Season Rice Cropping System Open
Double-cropping rice cultivation reduces soil fertility, and the extensive use of chemical fertilizers has harmful effects on both the environment and grain yield. The application of organic materials could be used as a practical strategy …
View article: Digital twin-enabled advance execution for human-robot collaborative assembly
Digital twin-enabled advance execution for human-robot collaborative assembly Open
A reliable human-robot workcell relies on accurate and nearly real-time updated models, especially in a constrained yet dynamic environment. This paper investigates digital twin-driven human-robot collaborative assembly enabled by function…
View article: A vision-based human-robot collaborative system for digital twin
A vision-based human-robot collaborative system for digital twin Open
Flexible and safe human-robot collaboration depends on accurately capturing the three-dimensional motion of humans and robots in the field of smart manufacturing. In this paper, a novel approach to developing a human-robot collaborative as…
View article: Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment
Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment Open
View article: Sensorless force estimation for industrial robots using disturbance observer and neural learning of friction approximation
Sensorless force estimation for industrial robots using disturbance observer and neural learning of friction approximation Open
Contact force estimation enables robots to physically interact with unknown environments and to work with human operators in a shared workspace. Most heavy-duty industrial robots without built-in force/torque sensors rely on the inverse dy…
View article: Leveraging multimodal data for intuitive robot control towards human-robot collaborative assembly
Leveraging multimodal data for intuitive robot control towards human-robot collaborative assembly Open
In human-robot collaborative assembly, robots help human operators complete complex assembly tasks. However, controlling these robots is not intuitive given the constraints posed by the close proximity of the operator. In response to this …
View article: Complex-Network-Based Cyber-Physical Production Systems Subject to Cascading Failures
Complex-Network-Based Cyber-Physical Production Systems Subject to Cascading Failures Open
The manufacturing industry is facing multi-dimensional, ever-growing challenges ranging from the lack of real-time manufacturing resource data, the inability of catching production exceptions, to the occurrence of cascading failures. This …
View article: Symbiotic human-robot collaboration: multimodal control using function blocks
Symbiotic human-robot collaboration: multimodal control using function blocks Open
Complex assembly tasks require increased flexibility and adaptability, as well as higher effort on the conventional (re)programing of robots. To solve such challenges, this paper presents a function block-enabled multimodal control scheme …
View article: A Framework of Data-Driven Dynamic Optimisation for Smart Production Logistics
A Framework of Data-Driven Dynamic Optimisation for Smart Production Logistics Open
View article: Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach
Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach Open
The influence maximization problem is defined by identifying the seed set that has the most influence on other users in the network, which when selected, the cascading process reaches a large number of users. We use a greedy algorithm and …