Robotics: control, sensing, vision, and intelligence
Robotics: control, sensing, vision, and intelligence
Computer-aided analysis of mechanical systems
Computer-aided analysis of mechanical systems
Computer aided kinematics and dynamics of mechanical systems. Vol. 1: basic methods
Computer aided kinematics and dynamics of mechanical systems. Vol. 1: basic methods
Manipulator motion planning in the presence of obstacles and dynamic constraints
International Journal of Robotics Research
Computer Graphics and Geometric Modeling for Engineers
Computer Graphics and Geometric Modeling for Engineers
Advanced Robotics: Redundancy and Optimization
Advanced Robotics: Redundancy and Optimization
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
SIAM Journal on Optimization
Torque Optimizing Control with Singularity-Robustness for Kinematically Redundant Robots
Journal of Intelligent and Robotic Systems
Mathematical and Computer Modelling: An International Journal
Robotics and Computer-Integrated Manufacturing
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The robotic motion planning criteria has evolved from kinematics to dynamics in recent years. Many research achievements have been made in dynamic motion planning, but the externally applied loads are usually limited to the gravity force. Due to the increasing demand for generic tasks, the motion should be generated for various functions such as pulling, pushing, twisting, and bending. In this paper, a comprehensive form of equations of motion, which includes the general external loads applied at any point of branched tree structures, is implemented. An optimization-based algorithm is then developed to generate load-effective motions of redundant tree-structured systems for generic tasks. A highly articulated dual-arm human model is used to generate different effective motions to sustain different external load magnitudes. The results also provide a new scientific insight of human motion.