Results 121 to 130 of about 174,891 (286)

Assessment of Torque Vectoring Controllers Performance through Subjective-Objective Ratings

With the increasing demand for enhanced vehicle performance and handling dynamics, torque vectoring has emerged as a fundamental technology in modern automotive engineering.
Asperti, Michele, Sabbioni, Edoardo, Vignati, Michele   +2 more
core   +1 more source

3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications

Advanced Robotics Research, EarlyView.
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun, Jan Petrš, Omar Aloui, Dario Floreano   +3 more
wiley   +1 more source

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source

Self-vectoring electromagnetic soft robots with high operational dimensionality. [PDF]

Nat Commun, 2023
Li W, Li W, Chen H, Yi Z, Fang F, Guo X, Wu Z, Gao Q, Shao L, Xu J, Meng G, Zhang W.   +11 more
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Study of torque vectoring differential use for heavy commercial vehicles

, 2014
This work deals with the design of right-and-left torque vectoring systems used in heavy commercial vehicle powertrains. It is a new device for a commonly used vehicle differential. This study recommends design, kinematic and load parameters.
Fojtášek, Jan
core  

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

Advanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li, Ryman Hashem, Ningzhe Hou, Perla Maiolino, Louis Halamek, Liang He   +5 more
wiley   +1 more source

Generalized Design, Modeling and Control Methodology for a Snake-like Aerial Robot. [PDF]

Sensors (Basel), 2023
Zhao M, Nishio T.
europepmc   +1 more source

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles

IEEE Access
A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper.
Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef   +4 more
doaj   +1 more source