Results 51 to 60 of about 1,419,907 (265)
An obstacle avoidance path planning algorithm to simulate hyper redundant manipulators for tokamaks maintenance [PDF]
The present work proposes an obstacle avoidance path planning algorithm for virtual simulations of hyper-redundant manipulators, with the possibility to customize the optimization criteria to select the best trajectory given in output. For test purposes,
Zoppoli, Andrea +5 more
core +1 more source
Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley +1 more source
A new implementation for online calculation of manipulator Jacobian.
This paper describes a new implementation for calculating Jacobian and its time derivative for robot manipulators in real-time. The estimation of Jacobian is the key in the real-time implementation of kinematics and dynamics of complex planar or spatial ...
Pramod Chembrammel +1 more
doaj +1 more source
Adopting a scalable hybrid two‐step deposition process route, textured perovskite/silicon tandem solar cells achieve over 30% power‐conversion efficiency. The process route replaces all non‐scalable spin‐coating steps, including organic precursor deposition, self‐assembled monolayer formation, and passivation layer deposition, with scalable techniques ...
Raphael Pesch +16 more
wiley +1 more source
Continuous and Large‐Scale: ELEANOR, the Soft Architected Arm Inspired by the Elephant Trunk
A large‐scale, architected continuum robot inspired by the macroscopic properties of the African elephant trunk achieves adaptive elephant‐like movements and whole‐body grasping. The results demonstrate that designing from the natural system’s macroscopic properties, rather than prescribing behaviors, provides a powerful strategy for developing ...
Giovanna A. Naselli +8 more
wiley +1 more source
The hyper-redundant manipulator (HRM) can explore narrow and curved pipelines by leveraging its high flexibility and redundancy. However, planning collision-free motion trajectories for HRMs in confined environments remains a significant challenge.
Junjie Zhu +5 more
doaj +1 more source
From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation
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 +13 more
wiley +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Collision free control of variable length hyper redundant robot manipulator [PDF]
Hyper-redundant robot (HRR) manipulators are useful at navigating convoluted paths, but conventionally complicated to control. The control of a hyper-redundant manipulator is complex due to its redundancy.
Jamali, Annisa +6 more
core +2 more sources
Manipulation strategies for redundant manipulators.
Manipulation strategies for redundant ...
Vinod Kumar. Singh (7989119)
core +5 more sources

