Research

The main objective of this project is to develop and investigate highly efficient methods for computer-aided modeling and analysis of complex multibody systems in a unified Hamiltonian approach

Current problems require engineers to predict how specific parameters or control inputs will affect the behavior of the complex multibody system. The adjoint method is one of the more interesting methods for systematically calculating the gradient.

The project aims at pushing an area of expertise to (i) integrate MBS formulations with data–driven techniques, (ii) develop a hybrid modeling approach for optimal trajectory generation based on the adjoint method, (iii) assess possibilities of practical applications of the developed hybrid models.

The Predictive Quadratic Programming Inverse Kinematics with Scaling (PQPIK-S) designed in this project solves this quandary by combining the inverse kinematics (IK) problem with trajectory scaling and solving them simultaneously.

The main aim of the project is to develop general-purpose hybrid (rigid-flexible) modeling methods that will enable reliable simulation of redundantly constrained systems while maintaining high computing efficiency.

The research concerns the design and implementation of real-time control systems, focusing on humanoids, walking machines and autonomous flying devices. Motion synthesis methods and design solutions for novel robotic systems inspired by biology are also investigated.

Solutions are proposed to reduce the risk of serious injuries is the use of safety belts integrated with the child restraint system with pretensioners, load limiters and the airbag

Archive of Mechanical Engineering is a peer-reviewed international Open Access journal publishing works of wide significance, originality and relevance in most branches of mechanical engineering. AME is published by Polish Academy of Sciences in collaboration with Warsaw University of Technology under supervision of the Committee on Machine Building of Polish Academy of Sciences.