Results 101 to 110 of about 631,803 (288)

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Development of physical model test system for fault-slip induced rockburst in underground coal mining

Journal of Rock Mechanics and Geotechnical Engineering
A complex geological environment with faults can be encountered in the process of coal mining. Fault activation can cause instantaneous structure slipping, releasing a significant amount of elastic strain energy during underground coal mining. This would
Bei Jiang, Kunbo Wu, Qi Wang, Hongpu Kang, Bowen Zhang, Zhaosen Zhang, Chen Chen   +6 more
doaj   +1 more source

Structural evolution of the Nam Con Son Basin: quantitative fault analysis applied to a 3-simensional seismic dataset [PDF]

, 2007
The Nam Con Son Basin is one of several Tertiary rift basins located on the continental shelf, offshore Indochina. It has received relatively little attention until recently and remains a poorly understood sedimentary basin.
Pugh, Adam
core  

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Numerical investigation of the effect of fluid pressurization rate on laboratory-scale injection-induced fault slip. [PDF]

Sci Rep, 2023
Hutka GA, Cacace M, Hofmann H, Zang A, Wang L, Ji Y.   +5 more
europepmc   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Fault activation and energy accumulation in anti-slip structures under mining disturbance

Journal of Rock Mechanics and Geotechnical Engineering
In deep mining, fault activation poses a significant safety risk due to the sudden release of stored energy. Faults capable of accumulating energy often contain heterogeneous, high-shear-strength anti-slip structures that markedly alter stress transfer ...
Jinguo Lyu, Wenhe Han, Tao Yang, Yisheng Peng, Yishan Pan, Lianpeng Dai, Xuebin Wang, Zhongbei Li   +7 more
doaj   +1 more source

The walls boundary fault zone and the MØre TrØndelag fault complex:: a case study of two reactivated fault zones. [PDF]

, 2001
It is commonly observed that ancient faults or shear zones can become reactivated again and again, either within the same or even superimposed tectonic episodes, yet millions of years apart.
Watts, Lee Mark
core  

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

Data assimilation for fault slip monitoring and short-term prediction of spatio-temporal evolution of slow slip events: application to the 2010 long-term slow slip event in the Bungo Channel, Japan

Earth, Planets and Space
Monitoring and predicting fault slip behaviors in subduction zones is essential for understanding earthquake cycles and assessing future earthquake potential. We developed a data assimilation method for fault slip monitoring and the short-term prediction
Masayuki Kano, Yusuke Tanaka, Daisuke Sato, Takeshi Iinuma, Takane Hori   +4 more
doaj   +1 more source