Results 121 to 130 of about 62,057 (245)

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Additional file 5 of Using the implementation research logic model to examine high-intensity resistance rehabilitation implementation in skilled nursing facilities: a mixed methods multi-site case study

Additional file 5. Site-Initiated Implementation Strategy Description and Mechanisms.
Hinrichs-Kinney, Lauren A., Derlein, Danielle, Pontiff, Mattie E., Malone, Daniel, Holtrop, Jodi Summers, Stevens-Lapsley, Jennifer E.   +5 more
openaire   +1 more source

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source

MECHATRONIC SYSTEM OF GRAIN COMBINE ADAPTIVE DRIVING CONTROL

Вестник Донского государственного технического университета, 2018
The basic external actions on the grain combine mechatronic control system, and their effect on the motion pattern and the production process are considered.
Dmitry Yakovlevich Parshin, Denis Gennadyevich Shevchuk   +1 more
doaj  

Additional file 4 of Using the Implementation Research Logic Model to design and implement community-based management of possible serious bacterial infection during COVID-19 pandemic in Ethiopia

Additional file 4.
Tiruneh, Gizachew Tadele, Nigatu, Tsinuel Girma, Magge, Hema, Hirschhorn, Lisa Ruth   +3 more
openaire   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

MECHATRONIC SYSTEM OF GRAIN COMBINE ADAPTIVE DRIVING CONTROL

Advanced Engineering Research, 2012
The basic external actions on the grain combine mechatronic control system, and their effect on the motion pattern and the production process are considered.
Dmitry Yakovlevich Parshin, Denis Gennadyevich Shevchuk   +1 more
doaj  

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

Additional file 1 of Using the Implementation Research Logic Model to design and implement community-based management of possible serious bacterial infection during COVID-19 pandemic in Ethiopia

Additional file 1.
Tiruneh, Gizachew Tadele, Nigatu, Tsinuel Girma, Magge, Hema, Hirschhorn, Lisa Ruth   +3 more
openaire   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source