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Related Articles from SNS
VAIC: Vision-Guided Humanoid Agile Object Interaction Control via Decoupled Commands
arXiv:2606.09286v1 Announce Type: new Abstract: Humanoid robots hold immense potential for real-world assistance, yet agile interaction with objects in unstructured environments demands tightly coupled whole-body coordination. Despite recent advancements, current controllers face a critical deployment gap. They rely heavily on dense reference trajectories and perfect state observability, which inherently limits physical generalization.
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning
arXiv:2503.01125v5 Announce Type: replace Abstract: Although acrobatic flight control has been studied extensively, one key limitation of the existing methods is that they are usually restricted to specific maneuver tasks and cannot change flight pattern parameters online. In this work, we propose a target-and-command-oriented reinforcement learning (TACO) framework, which can handle different maneuver tasks in a unified way and allows online parameter changes. Additionally, we propose a...
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
arXiv:2307.06647v4 Announce Type: replace Abstract: We propose DeepIPCv2, an end-to-end autonomous driving framework that integrates LiDAR-based environmental perception with command-specific control learning. Unlike prior camera-reliant models, DeepIPCv2 employs point cloud segmentation and multi-view projection to construct robust scene representations. These features are fused and decoded through a combination of gated recurrent units, command-specific multi-layer perceptrons, and PID...
Actuator-Aware Inverse Kinematics with Joint-Limit Admissibility for Torque-Controlled Redundant Robots
arXiv:2605.31436v1 Announce Type: new Abstract: This paper proposes actuator-aware inverse kinematics for torque-controlled redundant robots under joint-limit constraints. In the considered architecture, the inverse-kinematic output is not merely a purely kinematic joint-velocity command; it is the required joint velocity supplied to a downstream torque-level controller. Therefore, a small commanded task residual may not necessarily improve realized motion.
US military attacks Iran in 'self-defense strikes' over weekend
U.S. Central Command (CENTCOM) announced that it carried out "self-defense strikes" against Iran over the weekend."U.S. Central Command (CENTCOM) conducted self-defense strikes on Iranian radar and command and control sites for drones in Goruk, Iran and Qeshm Island this weekend," a press release noted. The measured and deliberate strikes occurred on Saturday and Sunday in response to aggressive Iranian actions that included the shootdown of a U.S. MQ-1 drone that was operating over...
Attention Dynamics and Adaptive Decision Support in C5ISR: A Recurrence Quantification Analysis of Visual and Multimodal Attention Guidance Effects on Mission Performance
arXiv:2606.02382v1 Announce Type: new Abstract: Modern command, control, communications, computers, cyber, intelligence, surveillance, and reconnaissance (C5ISR) environments place substantial attentional demands on mission commanders. Failures in attention allocation in these high-risk settings can have severe operational consequences. This study investigates the efficacy of gaze-driven, attention-guided adaptive decision support tools, including visual-only and multimodal designs, in a...
MAD: Mapping-Aware World Models for Agile Quadrotor Flight
Announce Type: new Abstract: Agile quadrotor flight in cluttered scenes requires more than a reactive mapping from a depth image to a control command: the vehicle must remember which regions have been observed, infer nearby occupied space, and act under partial visibility and tight latency. In this paper, we present Mapping-Aware Dreamer (MAD), a geometry-aware world model for vision-based quadrotor flight. Instead of using raw-image reconstruction as the main self-supervised objective, MAD...
NATO drills: France to test AI battlefield tech as alternative to US system
Arcadia, developed with French firms, is a European response to Maven, an AI command and control system used by NATO that was developed by the US company Palantir. France is set to begin trialling its own artificial intelligence-powered battlefield command during a NATO exercise on Monday, Defense News reports. AI battlefield systems help optimise decision-making and target identification.
AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses
Announce Type: new Abstract: Ensuring the protection of Artificial Intelligence (AI) models deployed in military Command and Control (C2) systems and critical infrastructure is essential for maintaining information superiority. Model Extraction Attacks (MEAs) pose a significant threat, as they enable adversaries to replicate proprietary models, compromise protected information, and prepare offline adversarial attacks. However, current defense strategies predominantly rely on the Single...
CrowdStrike, Google shatter Glassworm botnet
CrowdStrike, in collaboration with Google and the Shadowserver Foundation, successfully dismantled the Glassworm botnet, a sophisticated, self-propagating worm. This malware targeted developers by spreading through poisoned software packages and used complex infrastructure, including blockchain and Google Calendar, to evade detection. The coordinated takedown severed the attackers' command-and-control channels, mitigating the threat to the software development community.