Malleable robots: Reconfigurable robotic arms with continuum links of variable stiffness
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 …
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 …
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
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 …
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 …
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) …
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
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) …
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 …
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 …
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 …
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 …
believe are necessary towards making robots autonomous and smart:(1) The robot needs to …