- Polymer Foaming and Composites
- Robotics and Automated Systems
- Surgical Simulation and Training
- Teleoperation and Haptic Systems
- Augmented Reality Applications
- Robot Manipulation and Learning
- Tactile and Sensory Interactions
- Advanced Sensor and Energy Harvesting Materials
- Virtual Reality Applications and Impacts
- Stroke Rehabilitation and Recovery
- IoT and Edge/Fog Computing
- Thermal properties of materials
- Carbon Nanotubes in Composites
- Medical Imaging and Analysis
- Context-Aware Activity Recognition Systems
- Carbon dioxide utilization in catalysis
- Digital Transformation in Industry
- Microbial Natural Products and Biosynthesis
- Anatomy and Medical Technology
- Nanoplatforms for cancer theranostics
- Phase Change Materials Research
- Dental Radiography and Imaging
- Energy Efficiency and Management
- Photoacoustic and Ultrasonic Imaging
- Industrial Vision Systems and Defect Detection
Imperial College London
2024-2025
Bristol Robotics Laboratory
2023
University of Bristol
2023
First Affiliated Hospital of Xiamen University
2023
Fujian Medical University
2023
Fujian University of Technology
2020-2022
Second Affiliated Hospital of Jilin University
2022
North China Electric Power University
2020-2021
In this paper, we present the design and benchmark of an innovative sensor, ViTacTip, which fulfills demand for advanced multi-modal sensing in a compact design. A notable feature ViTacTip is its transparent skin, incorporates 'see-through-skin' mechanism. This mechanism aims at capturing detailed object features upon contact, significantly improving both vision-based proximity perception capabilities. parallel, biomimetic tips embedded sensor's skin are designed to amplify contact details,...
In this paper, we present the design and benchmark of an innovative sensor, ViTacTip, which fulfills demand for advanced multi-modal sensing in a compact design. A notable feature ViTacTip is its transparent skin, incorporates `see-through-skin' mechanism. This mechanism aims at capturing detailed object features upon contact, significantly improving both vision-based proximity perception capabilities. parallel, biomimetic tips embedded sensor's skin are designed to amplify contact details,...
Abstract Poly(butylene succinate) (PBS)/polytetrafluoroethylene (PTFE) composites, including three types of PTFE powders, were prepared by melt blending using a HAAKE torque rheometer. Microcellular foams successfully fabricated batch foaming with supercritical fluids (scCO 2 ). The effects powder type on crystallization, rheological properties and behavior studied. L-5 JH-220 powders showed good dispersion in the PBS matrix, FA-500 underwent fibrillation during process. All gradually...
Teleoperation has widely contributed to many applications. Consequently, the design of intuitive and ergonomic control interfaces for teleoperation become crucial. The rapid advancement Mixed Reality (MR) yielded tangible benefits in human-robot interaction. MR provides an immersive environment interacting with robots, effectively reducing mental physical workload operators during teleoperation. Additionally, incorporation haptic rendering, including kinaesthetic tactile could further...
Microsurgery involves the dexterous manipulation of delicate tissue or fragile structures, such as small blood vessels and nerves, under a microscope.To address limitations imprecise human hands, robotic systems have been developed to assist surgeons in performing complex microsurgical tasks with greater precision safety.However, steep learning curve for robot-assisted microsurgery (RAMS) shortage well-trained pose significant challenges widespread adoption RAMS.Therefore, development...
Abstract Conductive polymer composites (CPCs) have been demonstrated to many advantages. However, agglomeration of conductive fillers or segregation networks in CPCs always results weak mechanical properties and limited conductivity. To address this issue, four types poly(butylene succinate)/multiwalled carbon nanotube (PBS/CNT) CPC with different network structures are prepared: PBS/CNT‐I: melt mixing hot pressing (145 °C, 10 MPa), PBS/CNT‐II: solution PBS/CNT‐III: (100 PBS/CNT‐IV: 60 MPa)....
The accelerating aging population has led to an increasing demand for domestic robotics ease caregivers' burden. integration of Internet Things (IoT), robotics, and human-robot interaction (HRI) technologies is essential home-care applications. Although the concept Robotic (IoRT) been utilized in various fields, most existing IoRT frameworks lack ergonomic HRI interfaces are limited specific tasks. This paper presents open-source unified Humans (IoHRT) framework with cloud computing, which...
Abstract Based on the limited rationality of game participants, this paper discusses root complexity in cooperative competition game, and then evolutionary model by using theory. This analyzes emission reduction behavior carbon emissions, establishes a corresponding model. assumption incomplete information idea “replication dynamics” process biological evolution, asymptotical stability analysis asymmetric equilibrium is carried out. The results show that strategy depends comparison numerical...
Abstract With the rapid development of smart grid technology, how demand side resources participate in power market has become a research hotspot. This paper proposes bi-level optimization model for resource aggregators to electricity transactions. In model, lower level is wholesale clearing aiming at maximum social benefit, and upper bidding decision consumption benefit air conditioning load. The case study demonstrates feasibility effectiveness model.
Microsurgery involves the dexterous manipulation of delicate tissue or fragile structures such as small blood vessels, nerves, etc., under a microscope. To address limitation imprecise human hands, robotic systems have been developed to assist surgeons in performing complex microsurgical tasks with greater precision and safety. However, steep learning curve for robot-assisted microsurgery (RAMS) shortage well-trained pose significant challenges widespread adoption RAMS. Therefore,...
Segmenting and recognizing surgical operation trajectories into distinct, meaningful gestures is a critical preliminary step in workflow analysis for robot-assisted surgery. This necessary facilitating learning from demonstrations autonomous robotic surgery, evaluating skills, so on. In this work, we develop hierarchical semi-supervised framework gesture segmentation using multi-modality data (i.e. kinematics vision data). More specifically, tasks are initially segmented based on distance...
Segmenting and recognizing surgical operation trajectories into distinct, meaningful gestures is a critical preliminary step in workflow analysis for robot-assisted surgery. This necessary facilitating learning from demonstrations autonomous robotic surgery, evaluating skills, so on. In this work, we develop hierarchical semi-supervised framework gesture segmentation using multi-modality data (i.e. kinematics vision data). More specifically, tasks are initially segmented based on distance...
Abstract Lung adenocarcinoma is one of the most aggressive and rapidly fatal type malignant lung tumor. Molecular docking virtual screening were effectively systematically used to identify specific targets in tumors screen potential drugs. Here, we perfect leading compounds from a medicate library (ZINC15 database) analyze their properties (conveyance, absorption, metabolism, excretion harmless forecasts) with inhibition Kirsten Rat Sarcoma Viral Oncogene Homolog G12C. Further results...