Malleable robots: Reconfigurable robotic arms with continuum links of variable stiffness

AB Clark, N Rojas - IEEE Transactions on Robotics, 2022 - ieeexplore.ieee.org
Through the implementation of reconfigurability to achieve flexibility and adaptation to tasks
by morphology changes rather than by increasing the number of joints, malleable robots …

[HTML][HTML] Local path planning for mobile robots based on fuzzy dynamic window algorithm

Y Sun, W Wang, M Xu, L Huang, K Shi, C Zou, B Chen - Sensors, 2023 - mdpi.com
Due to the increased employment of robots in modern society, path planning methods based
on human–robot collaborative mobile robots have been the subject of research in both …

[HTML][HTML] Assembly configuration representation and kinematic modeling for modular reconfigurable robots based on graph theory

T Zhang, Q Du, G Yang, C Wang, CY Chen, C Zhang… - Symmetry, 2022 - mdpi.com
A Modular Reconfigurable Robot (MRR) composed of standard joint and link modules has
the advantages of rapid changeover of assembly configurations for a diversity of application …

One key issue in inverse kinematic modeling of lower mobility serial mechanisms

B Hu, T Gao, J Zhao, Z Liu - Mechanism and Machine Theory, 2022 - Elsevier
The inverse kinematics of lower mobility serial mechanisms is an important problem, but it
has not been well solved actually. The feasible six dimension pose of the end-effector can …

Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter

A Schperberg, Y Tanaka, F Xu… - … on Ubiquitous Robots …, 2023 - ieeexplore.ieee.org
Achieving highly accurate dynamic or simulator models that are close to the real robot can
facilitate model-based controls (eg, model predictive control or linear-quadradic regulators) …

[PDF][PDF] Real-to-sim: Deep learning with auto-tuning to predict residual errors using sparse data

A Schperberg, Y Tanaka, F Xu, M Menner… - arXiv preprint …, 2022 - researchgate.net
Achieving highly accurate kinematic or simulator models that are close to the real robot can
facilitate model-based controls (eg, model predictive control or linearquadradic regulators) …

[PDF][PDF] 工业机器人轨迹精度力-位置复合补偿方法

卢远, 国凯, 孙杰 - 机械工程学报, 2022 - qikan.cmes.org
工业机器人关节刚度较低, 在外负载干扰下加工精度较低, 阻碍机器人在加工系统中的进一步
推广和应用. 为解决该问题, 提出一种力前馈控制-位置反馈控制复合补偿方法 …

[PDF][PDF] System concept for human-robot collaborative draping

C Eitzinger, C Frommel, S Ghidoni… - SAMPE Europe …, 2021 - researchgate.net
Draping is a technically complicated process as it involves the placing of a flat piece of
carbon fiber fabric in a 3D mold, without creating wrinkles, maintaining an accurate position …

Combined compensation method of robot kinematics error based on MRIPN-IMA

S Gao, K Ma, Y Gao, Z Jiang, X Shen, M Yang… - The Journal of …, 2023 - Springer
Aiming at the problem that robot absolute positioning accuracy affects robot machining, a
joint compensation method of robot kinematics error based on MRIPN-MA is proposed …

Towards Intelligent Robotic Systems: Unifying Model-based Optimization and Machine Learning for Planning, Control, and Estimation

AV Schperberg - 2024 - search.proquest.com
The goal of this work is to formulate algorithms that can address three key ingredients I
believe are necessary towards making robots autonomous and smart:(1) The robot needs to …