Grasping torque optimization for a dexterous robotic hand using the linearization of constraints
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Publication:2298533
DOI10.1155/2019/5235109zbMath1435.90144OpenAlexW2989964336MaRDI QIDQ2298533
Publication date: 20 February 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2019/5235109
Numerical optimization and variational techniques (65K10) Interior-point methods (90C51) Kinematics of mechanisms and robots (70B15) Robot dynamics and control of rigid bodies (70E60)
Cites Work
- Unnamed Item
- Neural networks for solving second-order cone constrained variational inequality problem
- A smoothed NR neural network for solving nonlinear convex programs with second-order cone constraints
- A polynomial-time interior-point method for circular cone programming based on kernel functions
- A primal-dual interior-point method for optimal grasping manipulation of multi-fingered hand-arm robots
- Primal-dual interior-point algorithms for convex quadratic circular cone optimization
- Limiting and minimizing the contact forces in multifingered grasping
- Contact Mechanics
- Theoretical and experimental study of dynamic load‐carrying capacity for flexible robotic arms in point‐to‐point motion
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