In the contemporary field of optimal trajectory planning for industrial robots, it is customary to
construct trajectories through the manual predefinition of interpolation functions …

This work presents an approach to solving the inverse kinematics of mobile dual-arm robots
based on metaheuristic optimization algorithms. First, a kinematic analysis of a mobile dual …

Differential evolution is a popular algorithm for solving global optimization problems. When
tested, it has reportedly outperformed both robotic problems and benchmarks. However, it …

This study addresses challenges in real-time gait regulation for a pediatric exoskeleton by
introducing an adaptive finite-time sliding mode control. The approach utilizes a non …

Robots bring eventful impacts to the workplace, benefiting from the advantages of
implementing any technology should be based on the premise of safety. This work proposes …

The traditional tire laser engraving robots have the low and stable running capability and
discontinuous motion trajectory during operation, leading to long running time, high energy …

Complex parts often consists of a large amount of scattered discontinuous paths, geometric
characteristics of the trajectory can cause huge influence on efficiency and quality of …

Time and jerk are two pivotal factors in the optimal trajectory planning of a manipulator. A
trajectory that minimizes time and jerk can ensure smooth and efficient operation of the …

The RRT 1 1 RRT: Rapidly exploring random trees. algorithm is a path planning method
based on random sampling, which can effectively solve the path planning problem of high …

To address the issues of low efficiency and vibration caused by motion impact in robotic
operation, a time-jerk optimal trajectory planning method based on the dung beetle …