Jie Hu

Jie Hu
Shanghai Jiao Tong University | SJTU · School of Mechanical Engineering

Doctor of Philosophy

About

145
Publications
20,923
Reads
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1,519
Citations
Additional affiliations
December 2009 - present
Shanghai Jiao Tong University
Position
  • Professor (Full)
December 2003 - December 2009
Shanghai Jiao Tong University
Position
  • Professor (Associate)
December 2001 - December 2003
Tsinghua University
Position
  • PostDoc Position

Publications

Publications (145)
Article
The customer-oriented design concept evaluation (CDCE) enables companies to select the best design concept from the perspective of customer to win the customer-centered market. However, previous CDCE studies only focus on the customer’s preference value (PV), but neglect the customer’s confidence attitude on this preference, i.e., the preference re...
Article
Full-text available
The signals from electromyography (EMG) have been used for volitional control of robotic assistive devices with the challenges of performance improvement. Currently, the most common method of EMG signal processing for robot control is RMS (root mean square)-based algorithm, but system performance accuracy can be affected by noise or artifacts. This...
Article
Exploiting biometric measures, especially neurophysiological data of evaluator for product evaluation is advantageous at avoiding bias and subjectivity in expert scoring process. This paper proposes an approach that integrates electroencephalograph (EEG) and eye-tracking (ET) data in a new way to derive multi-faceted supportive information for prod...
Article
Full-text available
Failure mode and effects analysis (FMEA) is one of the most popular reliability analysis techniques due to its outstanding capabilities in identifying, assessing, and eliminating potential failure modes in a wide range of industrial applications. It provides a comprehensive view for investigating potential failures, causes, and effects in designs,...
Article
Robotic picking of diverse range of novel objects is a great challenge in dense clutter, in which objects are stacked together tightly. However, collecting large-scale dataset with dense grasp labels is extremely time-consuming, and there is huge gap between synthetic color and depth images with real images. In this paper, we explore suction based...
Article
Full-text available
Biological inspiration evaluation has been widely acknowledged as one of the most important phases in biologically inspired design (BID) as it substantially determines the direction of the following-up design activities. However, it is inherently an interdisciplinary assessment, which includes both the engineering domain and the biological systems....
Article
Full-text available
Smart product-service systems (Smart PSS) are receiving increasing attention due to their potentials to satisfy customer needs and create sustainability to meet hybrid concerns. As a value co-creation business paradigm, various sustainable value propositions (SVPs) and their assessments come from stakeholders' subjective judgments, which values are...
Article
To assist designers in making comprehensive decisions for objective design values (DVs) and subjective preference values (PVs) during the design solution evaluation stage, this study builds an information-intensive design solution evaluator (IIDSE) that combines multi-information from DVs and PVs. In the IIDSE, the importance degrees of the DVs and...
Article
Design Concept Evaluation (DCE) is a crucial step in new product development. In complex DCE task, the designer as a decision-maker has to make a comprehensive choice by considering the design concept’s inherent objective design factor as well as external subjective preference factor from evaluators (designer, expert or customer). However, most of...
Article
Facing today’s increasingly complex and high-demanded design missions, the abundant and multifarious design components distributed in different disciplines and locations should be fully considered and elaborately synthesized. However, this involves a large amount of data processing workload which heavily restrains the application and development of...
Article
With the advanced Internet, numerous and diverse design resources distributed in different locations and disciplines are becoming more and more accessible for designers. To help designers make the most of this Internet distributed resource environment in the design synthesis, a scalable multi-process inter-server collaborative method is proposed in...
Article
Full-text available
Real-time vision-based robotic grasping is challenging in clutter. In such scene, the target object should be perceived accurately, where it may be occluded and misrecognized by many distractors including irrelevant objects and the robotic arm. In addition, the limited field of view (FOV) of camera makes it prone for objects to get out of the camer...
Article
This paper proposes a methodology to generate online smooth joint trajectories of robots based on an improved sinusoidal jerk model. The multi-segment trajectory model is designed to allow a more sufficient exploitation of the actuation capability, thereby shortening the execution time while ensuring continuity up to the jerk level. Afterwards, the...
Article
Customer-involved design concept evaluation (DCE) allows customers to take part in evaluating the design alternatives to get more popular design concept. Traditional customer-involved DCE methods still focus on the collection of customer responses and only consider cost and benefit characteristics of design criteria in multi-criteria decision-makin...
Article
Full-text available
Robotic grasping of diverse range of novel objects is a great challenge in dense clutter, which is also critical to many applications. However, current methods are vulnerable to perception uncertainty for dense stacked objects, resulting in limited accuracy of multi-parameter grasp prediction. In this paper, we propose a two-stage grasp detection p...
Article
Currently, to get more popular design solution, customers are allowed to provide their preferences for new design concepts to be evaluated. Existing customer-involved design concept evaluation (CDCE) methods based on multi-criteria decision-making (MCDM) models collect customer preferences for certain pre-determined criteria as the one kind of eval...
Article
Full-text available
This paper presents a fabrication method for glassy carbon neural electrode arrays that combines 3D printing and chemical pyrolysis technology. The carbon electrodes have excellent biological compatibility and can be used in neural signal recording. A pretreated Si wafer is used as the substrate for 3D printing, and then, stereolithography 3D print...
Article
Full-text available
Design concept evaluation in the early phase of product design plays a crucial role in new product development as it considerably determines the direction of subsequent design activities. However, it is a process involving uncertainty and subjectivity. The evaluation information mainly relies on expert’s subjective judgment, which is imprecise and...
Article
Full-text available
Deep learning-based visuomotor control for manipulation are studied recently, which uses a neural network to learn the mapping from images to robotic actions directly. Most previous methods assume there is only one target object in the image. When multiple target objects are present, they are normally regarded as multi-task problems. One-hot vector...
Article
In this paper, a smooth and time-optimal S-curve trajectory planning method is proposed to meet the requirements of high-speed and ultra-precision operation for robotic manipulators in modern industrial applications. This method utilizes a piecewise sigmoid function to establish a jerk profile with suitably chosen phase durations such that the gene...
Preprint
Full-text available
This paper focuses on a robotic picking tasks in cluttered scenario. Because of the diversity of objects and clutter by placing, it is much difficult to recognize and estimate their pose before grasping. Here, we use U-net, a special Convolution Neural Networks (CNN), to combine RGB images and depth information to predict picking region without rec...
Preprint
Full-text available
This paper focuses on robotic picking tasks in cluttered scenario. Because of the diversity of poses, types of stack and complicated background in bin picking situation, it is much difficult to recognize and estimate their pose before grasping them. Here, this paper combines Resnet with U-net structure, a special framework of Convolution Neural Net...
Article
Full-text available
Deep neural network-based end-to-end visuomotor control for robotic manipulation is becoming a hot issue of robotics field recently. One-hot vector is often used for multi-task situation in this framework. However, it is inflexible using one-hot vector to describe multiple tasks and transmit intentions of humans. This paper proposes a framework by...
Article
Confocal laser scanning microscopy (CLSM) has emerged as one of the most advanced fluorescence cell imaging techniques in the field of biomedicine. However, fluorescence cell imaging is limited by spatial blur and additive white noise induced by the excitation light. In this paper, a spatially adaptive high-order total variation (SA-HOTV) model for...
Article
Full-text available
Planning efficient trajectories is an essential task in most automated robotic applications. The execution time and smoothness are usually important considerations for economic and safety reasons. A novel method to generate a trigonometric frequency central pattern generator trajectory is presented in this paper for cyclic point-to-point tasks of i...
Article
Full-text available
Using historical cases’ solutions to obtain feasible solution for new problem is fundamentally to successfully applying case-based reason technique in parametric mechanical design. As a well-known intelligent algorithm, the formulation of support vector regression has been taken for case-based reason adaptation, but the standard support vector regr...
Article
Full-text available
Synthesizing suitable principle solutions together to form the design solution is a universal method in conceptual design. For the modern mechatronic product, the conceptual design is often multi-disciplinary, which would be extremely time consuming and labour-intensive for designers to synthesize multi-disciplinary principle solutions together. Ta...
Article
Full-text available
Electromyogram (EMG) signal decoding is the essential part of myoelectric control. However, traditional machine learning methods lack the capability of learning and expressing the information contained in EMG signals, and the robustness of the myoelectric control system is not sufficient for real life applications. In this article, a novel model ba...
Conference Paper
Vehicle passive safety optimization design (APSOD) is a nonlinear, multi-dimensional and multi-constraint optimization problem. Simulation model based optimization (SMO) and approximation model based optimization (AMO) are two classical optimization methods for APSOD. However, the randomness of SMO limits its use in APSOD, which will generate a lot...
Poster
Full-text available
This poster considers the problem of picking objects in cluster. This requires the robot to reliably detect the picking point for the known or unseen objects under the environment with occlusion, disorder and a variety of objects. We present a novel pipeline to detect picking point based on deep convolutional neural network (CNN). At last, we demon...
Article
Full-text available
Three-dimensional (3D) printing is an emerging technique in the field of biomedical engineering and electronics. This paper presents a novel biofabrication method of implantable carbon electrodes with several advantages including fast prototyping, patient-specific and miniaturization without expensive cleanroom. The method combines stereolithograph...
Article
Case adaptation is fundamentally to successfully applying case-based reasoning (CBR) in parametric machinery design, and support vector machine (SVM)-based adaptation is a promising method for CBR adaptation. But the standard formulation of SVM can only be used as a univariate modeling technique due to its inherent single-output structure, which re...
Article
Full-text available
Change mode and effects analysis (CMEA) is a powerful technique for measuring product flexibility toward future changes and diminishing the cost of redesign as well as shortening time to market. As a systematic methodology, it provides an in-depth view for the investigation of potential changes, causes, and effects in designs, products, and process...
Article
Background Sleep scoring is a critical step in medical researches and clinical applications. Traditional visual scoring method is based on the processing of physiological signals, such as electroencephalogram (EEG), electrooculogram (EOG) and electromyogram (EMG), which is a time consuming and subjective procedure. It is an urgent task to develop a...
Article
Full-text available
Evolutionary multi-objective optimization has established itself a core field of research and application, with a proliferation of algorithms derived. During the multi-objective optimization processes, the discovered ideal solutions should be diversely distributed at the Pareto front. In order to measure and compare the performances of different mu...
Article
Meta-model is frequently employed as the surrogate of high-fidelity finite element models in computer aided engineering. It helps to achieve the trade-off between computational efficiency and predictive accuracy. To improve the predictive capability of meta-models, we developed an uncertainty representation based sampling method to schedule Design...
Article
Metamodels are becoming increasingly popular for handling large-scale optimization problems in product development. Metamodel-based reliability-based design optimization (RBDO) helps to improve the computational efficiency and reliability of optimal design. However, a metamodel in engineering applications is an approximation of a high-fidelity comp...
Article
Full-text available
Creative conceptual design requires significant previous design knowledge. Case-based reasoning enables learning from previous design experience and has a great potential in supporting creative conceptual design by means of seeking to retrieve, reuse, and revise most appropriate cases to generate inspired solutions. However, traditional case-based...
Article
Full-text available
This paper focuses on a generic paradigm for quantitative behavioral knowledge modeling. The goal is to support automated functional case adaptation with behavioral inputs rather than structure parameter assignments. Functional case is a kind of functional module, integrating functional knowledge, qualitative behavioral knowledge, quantitative beha...
Article
Full-text available
Retinal prostheses have the potential to restore some level of visual function to the patients suffering from retinal degeneration. In this paper, an epiretinal approach with active stimulation devices is presented. The MEMS-based processing system consists of an external micro-camera, an information processor, an implanted electrical stimulator an...
Article
Full-text available
Applications of neural machine interfaces have received increased attention during the last decades. It is crucial to realize the continuous control of prosthetic devices based on biological signals. In order to deal with the highly nonlinear relationship between the Electromyography (EMG) signals and motion, this study presents a novel decoding ap...
Conference Paper
Full-text available
Synthesizing principle solutions (PSs) in various disciplines together is a common practice in multidisciplinary conceptual design (MDCD), which generates the combination of PSs to meet the desired functional requirement. Different from structure-and function-based synthesis methods, a hybrid PS synthesis (HPSS) method through integrating functiona...
Conference Paper
Full-text available
Design knowledge representation has been regarded as a key aspect in design processes, especially at the early stage of conceptual design as it establishes the basis for the subsequent design activities. This paper presents a systematic knowledge representation model called Requirement-Function-Principle solution-Structure (RFPS), in which function...
Article
Full-text available
Conceptual design plays a pivotal role in generating creative design solutions and, in most cases, reuse of existing design knowledge is necessary. However, lack of a consistent design knowledge representation model and neglect of an integrated approach to support various formats of design knowledge reuse constrain conceptual design from transformi...
Article
Retinal prostheses for the restoration of functional vision are under development and visual prostheses targeting proximal stages of the visual pathway are also being explored. To investigate the experience with visual prostheses, psychophysical experiments using simulated prosthetic vision in normally sighted individuals are necessary. In this stu...
Article
Full-text available
Feature selection and case organization are crucial steps in case-based reasoning (CBR), since the retrieval efficiency and accuracy even the success of the CBR system are heavily dependent on their quality. However, inappropriate feature selection and case selection together with ill-structured case organization may not only present a dilemma in c...
Article
Full-text available
This paper proposes a region sampling based autofocus method for rapid and robust autofocus in microscope. Image content and region size are considered in region sampling criteria. An intelligent search algorithm which employs quartering hill climbing search and golden section search is developed, in which rule-based evaluation of sampled focusing...
Article
In order to analyze the multiple dynamic responses for model validation of multiple dynamic systems, this paper proposed the analysis method based on the enhanced error assessment of response time histories (EEARTH) and the analytic hierarchy process (AHP). The EEARTH method was used to calculate the characteristic errors of the multivariate dynami...
Article
In case-based design systems, the adaptation operation based on similar cases is a difficult and complex step, and the more adaptable cases usually could make larger contribution for adaptation generation than less ones. Under this ideology, this paper addresses a new case adaptation method which uses support vector machine (SVM) incorporating adap...
Article
Design optimization methods are commonly used for weight reduction subjecting to multiple constraints in automotive industry. One of the major challenges remained is to deal with a large number of design variables for large-scale design optimization problems effectively. In this paper, a new approach based on fuzzy rough set is proposed to address...