A5058903424- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- Robotics and Sensor-Based Localization
- Soft Robotics and Applications
- Robotic Path Planning Algorithms
- Smart Agriculture and AI
- Advanced Neural Network Applications
- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Advanced Battery Technologies Research
- Control and Dynamics of Mobile Robots
- Teleoperation and Haptic Systems
- Remote Sensing and LiDAR Applications
- Video Surveillance and Tracking Methods
- Vehicle Dynamics and Control Systems
- Muscle activation and electromyography studies
- Hydraulic and Pneumatic Systems
- Date Palm Research Studies
- Electric Vehicles and Infrastructure
- Stroke Rehabilitation and Recovery
- Fault Detection and Control Systems
- Distributed Control Multi-Agent Systems
- Modular Robots and Swarm Intelligence
- Reinforcement Learning in Robotics
- Spectroscopy and Chemometric Analyses
South China Agricultural University
2022-2025
Jinan University
2024-2025
Key Laboratory of Guangdong Province
2024
South China University of Technology
2023-2024
State Key Laboratory of Robotics and Systems
2024
Harbin Institute of Technology
2024
North China University of Science and Technology
2024
Politecnico di Milano
2019-2023
Beijing Institute of Technology
2019-2023
Sun Yat-sen University
2018-2022
Accurate path tracking and stability are the main challenges of lateral motion control in mobile robots, especially under situation with complex road conditions. The interaction force between robots external environment may cause interference, which should be considered to guarantee its performance dynamic uncertain environments. In this article, a flexible scheme is for developed wheel-legged robot, consists cubature Kalman algorithm evaluate centroid slip angle yaw rate. Furthermore, fuzzy...
OpenStreetMap (OSM) is widely used in outdoor navigation research recently, which publicly available and can provide a wide range of road information for robot navigation. In this article, aiming at the problem that map error OSM will cause global path to be inconsistent with real environment, we propose an OSM-based method combines network local perception information. As map, provides obtain by Dijkstra algorithm. Multisensor (including 3D-LiDAR Charge-coupled Device (CCD) camera) fusion...
In complex real-world scenarios, wheel-legged robots with maneuverability, stability, and reliability have addressed growing research attention, especially in material transportation, emergency rescue, as well the exploration of unknown environments. How to achieve stable high-level movement payload delivery simultaneously is main challenge for robot. this article, a novel hierarchical framework flexible motion six robot considered experimental results. First, wheeled motion, speed consensus...
This article presents a simple control method for the fully automatic parking of an unmanned vehicle. is based on switching algorithm and backstepping theory. The hard to accomplish since it cannot converge specified norm, guarantee convergence rate, large uncertainties. Global exponential any prescribed norm bound ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\epsilon$</tex-math></inline-formula>...
Purpose This paper aims on the trajectory tracking of developed six wheel-legged robot with heavy load conditions under uncertain physical interaction. The accuracy and stable operation are main challenges parallel mechanism for robots, especially in complex road conditions. To guarantee performance an environment, disturbances, including internal friction, external environment interaction, should be considered practical system. Design/methodology/approach In this paper, a fuzzy...
Abstract When considering the accuracy of tracking control, physical interaction such as structural uncertainties and external dynamics is main challenge in actual engineering scenarios, especially for complex robot system. In this article, a neural network‐based sliding mode control scheme (SMCR) presented developed four wheel‐legged (BIT‐NAZA) under uncertain interaction. First, non‐singular fast terminal function based on kinematic model proposed path tracking, which improves motion...
In this paper, an Internet of Things-based human-robot collaborative control scheme is developed in Robot-assisted Minimally Invasive Surgery scenario. A hierarchical operational space formulation designed to exploit the redundancies 7-DoFs redundant manipulator handle multiple tasks based on their priority levels, such as guaranteeing a remote center motion constraint and avoiding collision with swivel without influencing undergoing surgical operation. Furthermore, concept Robotic Things...
Isolated effects of single endocrine-disrupting chemicals (EDCs) on male reproductive health have been studied extensively, but their mixture effect remains unelucidated. Previous research has suggested that consuming diet enriched in omega-3 polyunsaturated fatty acids (PUFA) might be beneficial for health, whether PUFA could moderate the EDCs semen quality to explored. In this study 155 recruited from a center China, we used targeted-exposomics simultaneously measure 55 urine exposure...
Purpose When it comes to the high accuracy autonomous motion of mobile robot, is challenging effectively control robot follow desired trajectory and transport payload simultaneously, especially for cloud system. In this paper, a flexible tracking scheme developed via iterative learning manage distributed (BIT-6NAZA) under delivery scenarios. Design/methodology/approach Considering relationship six-wheeled independent steering in BIT-6NAZA an controller implemented reliable with...
This paper investigates a novel Efficient Dual-branch Bottleneck Network (EDBNet) to perform real-time semantic segmentation tasks on mobile robot systems based CCD camera. To remedy the non-linear connection between input and output, small-scale shallow module called (EDB) is established. The EDB unit consists of two branches with different dilation rates, each branch widens layers. helps simultaneously extract local situational information while maintaining minimal set parameters....
Vision is an important way for unmanned mobile platforms to understand surrounding environmental information. For platform, quickly and accurately obtaining information a basic requirement its subsequent visual tasks. Based on this, unique convolution module called Multi-Scale Depthwise Separable Convolution proposed real-time semantic segmentation. This mainly consists of concatenation pointwise multi-scale depthwise convolution. Not only does the change number channels, but it also...