Results 181 to 190 of about 33,036,968 (283)

Reinforcement Learning With a Low‐Cost Parallel Linkage Gripper for Static and Dynamic Planar In‐Hand Manipulation

Advanced Intelligent Systems, EarlyView.
Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin, Adam J. Spiers, Yusuke Iwasawa, Yutaka Matsuo, Yaonan Zhu   +4 more
wiley   +1 more source

Digital linguistic sovereignty and Kazakh language policy in the digital environment. [PDF]

Front Psychol
Zharkynbekova S, Ayupova G, Galiyeva B, Shakhputova Z, Zabrodskaja A.   +4 more
europepmc   +1 more source

Interbody Wire for Reconfigurable Robots: Bridging Integrated Morphological Reconfiguration and Distributed Wire‐Mediated Cooperation

Advanced Intelligent Systems, EarlyView.
TwinX shows how a single interbody wire connecting two robots can support both integrated morphological reconfiguration and distributed wire‐mediated cooperation. When the robots dock, they reconfigure into different forms for locomotion and manipulation.
Shintaro Inoue, Kento Kawaharazuka, Keita Yoneda, Sota Yuzaki, Temma Suzuki, Kei Okada   +5 more
wiley   +1 more source

Hierarchical Whole-Body Control for Tendon-Cable-Driven Humanoids via Reference-Residual Policy and Offline-Learned Tendon Mapping. [PDF]

Biomimetics (Basel)
Gan W, Chen J, Li Q, Mou H, Zhang J.
europepmc   +1 more source

Dual‐View Representation Learning for Deployable Humanoid Whole‐Body Control

Advanced Intelligent Systems, EarlyView.
Humanoid robots must learn control from limited onboard sensing, although simulation provides richer training‐only states. DVP learning pairs these views of each simulated motion and aligns their latent control features inside the policy‐learning loop. This direct, deployment‐aware supervision accelerates learning while the deployed policy relies only ...
Haolin Song, Wengang Zhou, Mingxiao Feng, Houqiang Li   +3 more
wiley   +1 more source

Wildlife trade as a driver of pandemic emergence: a post-COVID alliance's legacy of response. [PDF]

Bioscience
Reaser JK, Konzak AK, Keil J, Henrichfreise B, Nagel M.   +4 more
europepmc   +1 more source

From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation

Advanced Intelligent Systems, EarlyView.
Robot learning moves from one‐way instruction toward knowledge circulation. Humans teach robots, robots teach one another, and robots share acquired skills with humans. This perspective connects teaching, embodiment, and learning architectures to explore how knowledge is inherited, adapted, and enriched across agents, opening a path toward scalable ...
Kento Kawaharazuka, Shunki Itadera, Kohei Honda, Takato Horii, Asako Kanezaki, Taisuke Kobayashi, Kenji Koide, Shuhei Kurita, Koshi Makihara, Kazuki Miyazawa, Masaki Murooka, Yuki Onishi, Satoshi Yagi, Satoshi Yamamori   +13 more
wiley   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

Climate Justice and One Health Adaptation Policies in Public Health and Disaster Medicine. [PDF]

Public Health Chall
Adamopoulos I, Eslahi AV, Syrou N, Diamanti K, Katsogiannou M, Tsirkas P, Mijwil MM, Tornjanski V, Mishra H, Hrustemović E, Ali G.   +10 more
europepmc   +1 more source

Shape Sensing, Mapping, and Obstacle Avoidance of the Continuum Manipulator in Confined Environments

Advanced Intelligent Systems, EarlyView.
An integrated sensing framework combines capacitive sensors, IMU, and laser array sensor. The shape reconstruction is finished by backpropagation neural network. Accurate shape estimation (relative error of 1.04%) is maintained under a 110 g tip load, while a miniaturized VL6180X array enables local environmental reconstruction and reactive obstacle ...
Pengyuan Wang, Shi Qiao, Zhaoye Dong, Yuxuan Wang, Runte Song, Fengguang Jia, Shu Wang, Yongchang Zhang, Zhiguang Xing, Jianwen Zhao   +9 more
wiley   +1 more source