Results 81 to 90 of about 491 (246)

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

A Bloom filter-based dynamic symmetric searchable encryption scheme over cloud data

open access: yesCybersecurity
In this paper, a searchable encryption scheme for cloud data is proposed to address the limitations of existing schemes, which suffer from inefficient index construction and search process, as well as a lack of support for dynamic updates or the ...
Xing Zhang   +4 more
doaj   +1 more source

EVSEB: Efficient and Verifiable Searchable Encryption With Boolean Search for Encrypted Cloud Logs

open access: yesIEEE Access
With the growing adoption of cloud services, organizations are increasingly outsourcing their system log management to cloud service providers (CSPs). While this approach offers cost efficiency and scalability, it introduces critical challenges related ...
Somchart Fugkeaw   +3 more
doaj   +1 more source

Dynamic Searchable Encryption with Small Client Storage

open access: yesProceedings 2020 Network and Distributed System Security Symposium, 2020
Ioannis Demertzis   +3 more
openaire   +3 more sources

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano   +3 more
wiley   +1 more source

Enhancing Security and Efficiency: A Fine-Grained Searchable Scheme for Encryption of Big Data in Cloud-Based Smart Grids

open access: yesMathematics
The smart grid, as a crucial part of modern energy systems, handles extensive and diverse data, including inputs from various sensors, metering devices, and user interactions.
Jing Wen   +3 more
doaj   +1 more source

Dynamic Searchable Symmetric Encryption with Physical Deletion and Small Leakage

open access: yes, 2017
Dynamic Searchable Symmetric Encryption (DSSE) allows a client not only to search over ciphertexts as the traditional searchable symmetric encryption does, but also to update these ciphertexts according to requirements, e.g., adding or deleting some ciphertexts. It has been recognized as a fundamental and promising method to build secure cloud storage.
Peng Xu 0003   +5 more
openaire   +3 more sources

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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