Results 121 to 130 of about 5,302,170 (277)

Piezoresistivity Enhancement by Graphite Flake Alignment in Thin Composite Films for Dielectric Elastomer Switches

Advanced Robotics Research, EarlyView.
This article presents dielectric elastomer switch (DES) materials, based on composite thin films. Alignment of graphite flakes due to their physical confinement within the thin films lead to much stronger piezoresistive responses than bulk composites, while their durability exceeds that of conventional liquid‐based DES materials.
Lingyu Liu, Thomas Kister, Bart‐Jan Niebuur, Tobias Kraus   +3 more
wiley   +1 more source

A Digital Twin Framework for Visual Perception in Electrical Substations Under Dynamic Environmental Conditions

Sensors
Electrical power substations are visually complex and safety-critical environments with restricted access and highly variable lighting; a digital twin (DT) framework provides a controlled and repeatable context for developing and validating vision-based ...
Tiago Trindade Ribeiro, Andre Gustavo Scolari Conceição, Leonardo de Mello Honório, Iago Zanuti Biundini, Celso Moreira Lima   +4 more
doaj   +1 more source

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Proceedings of the AAAI Conference on Artificial Intelligence
The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which usually suffer from illumination, fast motion, privacy preservation, and large energy consumption. Meanwhile, the biologically inspired event cameras attracted great interest due to their unique features, such as high dynamic range, dense temporal ...
Xiao Wang 0014, Zongzhen Wu, Bo Jiang 0002, Zhimin Bao, Lin Zhu 0012, Guoqi Li 0002, Yaowei Wang 0001, Yonghong Tian 0001   +7 more
openaire   +2 more sources

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +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

Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo

, 2017
This demonstration presents a convolutional neural network (CNN) playing “RoShamBo” (“rock-paper-scissors”) against human opponents in real time. The network is driven by dynamic and active-pixel vision sensor (DAVIS) events, acquired by accumulating ...
Corradi, Federico, Iulia-Alexandra Lungu, Lungu, Iulia-Alexandra, Tobi Delbruck, Delbruck, Tobi, Federico Corradi, Delbruck, Tobias; https://orcid.org/   +6 more
core   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Swiftly accessible retinomorphic hardware for in-sensor image preprocessing and recognition: IGZO-based neuro-inspired optical image sensor arrays with metallic sensitization island

International Journal of Extreme Manufacturing
In-optical-sensor computing architectures based on neuro-inspired optical sensor arrays have become key milestones for in-sensor artificial intelligence (AI) technology, enabling intelligent vision sensing and extensive data processing.
Kyungmoon Kwak, Kyungho Park, Jae Seong Han, Byung Ha Kang, Dong Hyun Choi, Kunho Moon, Seok Min Hong, Gwan In Kim, Ju Hyun Lee, Hyun Jae Kim   +9 more
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source