Results 41 to 50 of about 7,279,238 (253)

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Neural architecture codesign for fast physics applications

Machine Learning: Science and Technology
We develop a pipeline to streamline neural architecture codesign for physics applications to reduce the need for ML expertise when designing models for novel tasks.
Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier Duarte   +4 more
doaj   +1 more source

Hardware-Algorithm Co-Optimization of Early-Exit Neural Networks for Multi-Core Edge Accelerators

IEEE Open Journal of the Computer Society
The deployment of Early-Exiting Neural Networks (EENNs) on edge accelerators requires optimizing not only the network architecture but also its hardware deployment.
Alaa Zniber, Arne Symons, Ouassim Karrakchou, Marian Verhelst, Mounir Ghogho   +4 more
doaj   +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

Hardware-Aware Optimization of Large Language Models: A System-Level Analysis

NTU Journal of Engineering and Technology
Deep neural networks (DNNs), particularly large language models (LLMs), have achieved remarkable performance; however, they introduce significant computational and memory challenges that hinder practical deployment.
Areej Hamza, Amel Tuama, Asraf Mohamed Moubark   +2 more
doaj   +1 more source

Block-Level Surrogate Models for Inference Time Estimation in Hardware Aware Neural Architecture Search [PDF]

, 2023
Hardware-Aware Neural Architecture Search (HA-NAS) is an attractive approach for discovering network architectures that balance task accuracy and deployment efficiency.
Stolle, Kurt; id_orcid, Vogel, Sebastian, van der Sommen, Fons; id_orcid, Sanberg, Willem P., Fons van der Sommen, Sebastian Vogel, Willem Sanberg, Kurt Stolle   +7 more
core   +1 more source

Echinoderm‐Inspired Autonomy for Soft‐Legged Robots

Advanced Robotics Research, EarlyView.
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker, Jelle de Vries, Johannes T. B. overvelde   +2 more
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Training-Free Proxy-Guided Bayesian NAS for UAV-Constrained TinyML

IEEE Access
Neural Architecture Search (NAS) has emerged as a powerful paradigm for automating model design, yet most existing approaches remain training-intensive and computationally prohibitive. In resource-constrained domains such as UAV-based perception and Tiny
Parthiva Yadlapalli, Rishi Raj, Dayananda Pruthviraja   +2 more
doaj   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source