A5006334165- Robotic Path Planning Algorithms
- Underwater Vehicles and Communication Systems
- Distributed Control Multi-Agent Systems
- Robotics and Sensor-Based Localization
- Metaheuristic Optimization Algorithms Research
- Adaptive Control of Nonlinear Systems
- Modular Robots and Swarm Intelligence
- Control and Dynamics of Mobile Robots
- Robotic Locomotion and Control
- Robot Manipulation and Learning
- Soft Robotics and Applications
- Reinforcement Learning in Robotics
- Teleoperation and Haptic Systems
- Robotic Mechanisms and Dynamics
- Robotics and Automated Systems
- Indoor and Outdoor Localization Technologies
- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Autonomous Vehicle Technology and Safety
- Dynamics and Control of Mechanical Systems
- Evolutionary Algorithms and Applications
- Advanced Image and Video Retrieval Techniques
- Insect Pheromone Research and Control
- Advanced Multi-Objective Optimization Algorithms
- Water Quality Monitoring Technologies
Tongji University
2016-2025
TianjinSino-German University of Applied Sciences
2024
University of Stuttgart
2010-2014
The construction of large structures is one the main development trends space exploration in future, such as stations, solar power and telescopes. It important tendency, which aims to make full use robots assemble autonomously aerospace industry. Considering that on-orbit assembly an effective method solve problem large-scale spatial structures, it necessary motivate facilitate research robotics technologies for assembly. Therefore, this paper, status robot technology relevant recent decades...
Leveraging explicit communication and cooperation of multiple robots brings about advantages in the solution tasks with autonomous robotic agents. For this reason, to end transporting polygonal objects a group mobile robots, aim article is develop fully distributed decision-making control scheme that lets cooperate as equals, without any kind central instance. Apart from coordinating motions manner, challenges include self-reliant determination configurations around object, well interrobot...
A new behavior-based fuzzy control method for mobile robot navigation is presented. It based on behavioral architecture which can deal with uncertainties in unknown environments and has the ability to accommodate different behaviors. Basic behaviors are controlled by specific logic controllers, respectively. The proposed approach qualifies driving a reach target while avoiding obstacles environment. Simulation experiments performed verify correctness feasibility of method.
Swarm robots search for multiple targets in collaboration unknown environments has been addressed this paper. An improved grouping strategy based on constriction factors Particle Optimization is proposed. Robots are grouped under after several iterations of stochastic movements, which considers the influence range and environmental information they have sensed. The group structure may change dynamically each focuses searching one target. All supposed to be found finally. Obstacle avoidance...
Closed-chain manipulation occurs when several robot arms perform tasks in cooperation. It is complex to control a dual-arm system because it requires flexible and adaptable operation ability realize closed-chain manipulation. In this study, deep reinforcement learning (DRL) framework based on actor-critic algorithm proposed drive the of robotic system. The designed train dual transport large object cooperatively. order sustain strict constraints manipulation, actor part leader-follower mode....
Abstract This paper addresses the problem of cooperative motion a swarm mobile robotic system with purpose searching target in complicated environment. The solution is inspired from Particle Swarm Optimization (PSO) and combined multibody dynamics which also includes consideration robots' physical properties like mass, inertia, force, acceleration, etc. entire robot mainly guided by this PSO an independent obstacle avoidance module active when robots encounter any conflicts during missions....
To improve the performance of autonomous underwater vehicle in trajectory tracking control, which is subject to system uncertainties and time-varying external disturbances, a nonlinear disturbance observer-based sliding mode controller proposed study. First, reaching law with special power function hyperbolic tangent presented. Then an improved based on new combined decrease time avoid chattering during control. Furthermore, reduce influence observer introduced identify them. The error...