Locomotion and manipulation optimization is essential for the performance of tetrahedron-based mobile mechanism. Most of current optimization methods are constrained to the continuous actuated system with limited degr...Locomotion and manipulation optimization is essential for the performance of tetrahedron-based mobile mechanism. Most of current optimization methods are constrained to the continuous actuated system with limited degree of freedom(DOF), which is infeasible to the optimization of binary control multi-DOF system. A novel optimization method using for the locomotion and manipulation of an 18 DOFs tetrahedron-based mechanism called 5-TET is proposed. The optimization objective is to realize the required locomotion by executing the least number of struts.Binary control strategy is adopted, and forward kinematic and tipping dynamic analyses are performed, respectively.Based on a developed genetic algorithm(GA), the optimal number of alternative struts between two adjacent steps is obtained as 5. Finally, a potential manipulation function is proposed, and the energy consumption comparison between optimal 5-TET and the traditional wheeled robot is carried out. The presented locomotion optimization and manipulation planning enrich the research of tetrahedron-based mechanisms and provide the instruction to the successive locomotion and operation planning of multi-DOF mechanisms.展开更多
To meet the growing demand for autonomous assembly in unstructured environments,such as field exploration,disaster recovery,and space assembly,this study proposes a fixture-free assembly system requiring a single robo...To meet the growing demand for autonomous assembly in unstructured environments,such as field exploration,disaster recovery,and space assembly,this study proposes a fixture-free assembly system requiring a single robotic arm.We present a dual-layer framework comprising two components:An upper layer assembly sequence planner that generates feasible optimal assembly sequences through a branch-and-bound guided search algorithm,which incorporates geometric constraints,gravitational stability analysis,and load support capacity;a lower layer assembly manipulation planner that selects appropriate skills from predefined skill libraries while ensuring motion feasibility through real-time trajectory planning.In particular,we develop a novel skill organization mechanism that comprehensively considers motion constraints of multiple skill primitives during parameter configuration.Experimental validation in non-standardized environments demonstrates the robustness and effectiveness in managing complex,long-horizon assembly tasks,achieving notable improvements in efficiency and adaptability.展开更多
This paper investigates the motion planning of redundant free-floating manipulators with seven prismatic joints. On the earth, prismatic-jointed manipulators could only position their end-effectors in a desired way. H...This paper investigates the motion planning of redundant free-floating manipulators with seven prismatic joints. On the earth, prismatic-jointed manipulators could only position their end-effectors in a desired way. However, in space, the end-effectors of free-floating manipulators can achieve both the desired orientation and desired position due to the dynamical coupling between manipulator and satellite movement, which is formally expressed by linear and angular momentum conservation laws. In this study, a tractable algorithm particle swarm optimization combined with differential evolution （PSODE） is provided to deal with the motion planning of redundant free-floating prismatic-jointed manipulators, which could avoid the pseudo inverse of the Jacobian matrix. The polynomial functions, as argument in sine functions are used to specify the joint paths. The co- efficients of the polynomials are optimized to achieve the desired end-effector orientation and position, and simulta- neously minimize the unit-mass-kinetic energy using the redundancy. Relevant simulations prove that this method pro- vides satisfactory smooth paths for redundant free-floating prismatic-jointed manipulators. This study could help to recognize the advantages of redundant prismatic-jointed space manipulators.展开更多
基金Supported by National Science-Technology Support Plan Projects of China (Grant No.2015BAK04B00)2015 Sino-German Postdoc Scholarship Program (Grant No.57165010)
文摘Locomotion and manipulation optimization is essential for the performance of tetrahedron-based mobile mechanism. Most of current optimization methods are constrained to the continuous actuated system with limited degree of freedom(DOF), which is infeasible to the optimization of binary control multi-DOF system. A novel optimization method using for the locomotion and manipulation of an 18 DOFs tetrahedron-based mechanism called 5-TET is proposed. The optimization objective is to realize the required locomotion by executing the least number of struts.Binary control strategy is adopted, and forward kinematic and tipping dynamic analyses are performed, respectively.Based on a developed genetic algorithm(GA), the optimal number of alternative struts between two adjacent steps is obtained as 5. Finally, a potential manipulation function is proposed, and the energy consumption comparison between optimal 5-TET and the traditional wheeled robot is carried out. The presented locomotion optimization and manipulation planning enrich the research of tetrahedron-based mechanisms and provide the instruction to the successive locomotion and operation planning of multi-DOF mechanisms.
基金supported by the National Natural Science Foundation of China(12372045)the Guangdong Basic and Applied Basic Research Foundation(2023B1515120018)the Shenzhen Science and Technology Program(JCYJ20220818102207015)。
文摘To meet the growing demand for autonomous assembly in unstructured environments,such as field exploration,disaster recovery,and space assembly,this study proposes a fixture-free assembly system requiring a single robotic arm.We present a dual-layer framework comprising two components:An upper layer assembly sequence planner that generates feasible optimal assembly sequences through a branch-and-bound guided search algorithm,which incorporates geometric constraints,gravitational stability analysis,and load support capacity;a lower layer assembly manipulation planner that selects appropriate skills from predefined skill libraries while ensuring motion feasibility through real-time trajectory planning.In particular,we develop a novel skill organization mechanism that comprehensively considers motion constraints of multiple skill primitives during parameter configuration.Experimental validation in non-standardized environments demonstrates the robustness and effectiveness in managing complex,long-horizon assembly tasks,achieving notable improvements in efficiency and adaptability.
基金supported by the National Natural Science Foundation of China (11072122)
文摘This paper investigates the motion planning of redundant free-floating manipulators with seven prismatic joints. On the earth, prismatic-jointed manipulators could only position their end-effectors in a desired way. However, in space, the end-effectors of free-floating manipulators can achieve both the desired orientation and desired position due to the dynamical coupling between manipulator and satellite movement, which is formally expressed by linear and angular momentum conservation laws. In this study, a tractable algorithm particle swarm optimization combined with differential evolution （PSODE） is provided to deal with the motion planning of redundant free-floating prismatic-jointed manipulators, which could avoid the pseudo inverse of the Jacobian matrix. The polynomial functions, as argument in sine functions are used to specify the joint paths. The co- efficients of the polynomials are optimized to achieve the desired end-effector orientation and position, and simulta- neously minimize the unit-mass-kinetic energy using the redundancy. Relevant simulations prove that this method pro- vides satisfactory smooth paths for redundant free-floating prismatic-jointed manipulators. This study could help to recognize the advantages of redundant prismatic-jointed space manipulators.
