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Systems & Control
The newest papers in Systems & Control that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
703 papers, from 31 August 2026 to 5 November 2026: 644 arXiv preprints and 59 OpenAlex records.
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Newest papers, page 18
CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video
Partnered human-humanoid interaction couples locomotion with continuous physical contact.Distributed Algorithms for $α$-Potential Functions in General-Sum Games
We study the problem of computing the tightest \(α\)-potential approximation of a general-sum game over continuous action spaces, within a prescribed class of potential functions and when each…Scenario-Based Compositional Statistical Model Checking for Safety Specifications
In safety-critical domains such as autonomous driving, systems must be evaluated across a large number of environment conditions, often represented as composite scenarios built from primitive…Emergency Obstacle Avoidance Maneuvers in Differential-Drive Mobile Robots
Emergency obstacle avoidance requires a mobile robot to brake or change its heading within the available distance.Offline AI Modules: Voice-First Offline Architecture, Hardware Reference Stack, Quantization and Benchmarking
The Offline AI Modules workstream enables practical, low-power, and community-accessible deployment of voice-first AI systems that operate fully offline.Real-Time Conformal-Seeded Hybrid Inverse Kinematics for Offset Redundant Manipulators
This paper presents a conformal-seeded hybrid strategy for solving inverse kinematics of offset, redundant 7-DoF robot arms of the humanoid class.Latent Safety Filters: When a Lossy Encoder Admits a Transferable Certificate
Latent safety filters certify safety on a learned low-dimensional representation of the state, enabling constraints that resist analytic description.ML-OPF-Bench: Benchmarking Machine Learning for Optimal Power Flow
Machine Learning (ML) methods promise a fast solution process for Optimal Power Flow (OPF).A KKL Observer Perspective on Reservoir Computing
Reservoir computing (RC) is a machine learning technique for data-driven modeling of dynamics for forecasting and control, primarily studied in computer science and physics literature with promising…Reachability-Guided Sequential Quadratic Programming-Guarded Model Predictive Path Integral for Safe Nonlinear Predictive Control
Safe robot control often requires combining long-horizon performance optimization with hard state and input constraints, but existing approaches tend to address this tradeoff partially.Nonlinear Density-Driven Optimal Control (D2OC) for Multi-Agent Spatial Coverage via Sequential Convex Programming
This paper presents a nonlinear extension of Density-Driven Optimal Control (D2OC) for multi-agent spatial coverage with prescribed density distributions.An End-to-End Framework for Modelling Pneumatic Soft Robots Based on Differentiable Finite Element Methods
Soft robots present significant modelling challenges due to their non-linearity, complex dynamics and potentially intricate geometries.Differentiable Ternary Temporal Logic Semantics with Polynomial Surrogate Networks
Temporal logic provides designers a formal reasoning tool for specifying complex spatio-temporal behaviors and tasks for autonomous systems.Score-Calibrated Flow for Sampling from Unnormalized Densities with Applications to Generative Online Reinforcement Learning
Diffusion and flow models provide expressive policy classes for online reinforcement learning (RL), enabling multimodal behaviors and improved performance.Emergent Underactuation in Fully Actuated Multirotors by Minimizing a Homogeneous Allocation Cost
Full actuation is commonly valued for independent position and attitude tracking.DNPush: Distributed Nonparallel Pushing Force Control of Multi-Robot Systems for Object Transportation
This letter proposes DNPush, a Distributed Nonparallel Pushing force controller for cooperative object transport without inter-robot communication.Distributed Cascade Force Control of Soft-Tactile-Based Multi-robot System for Object Transportation
In this paper, we present a distributed cascade force control system (DCFC) for multiple robots with the aim of pushing a rigid object towards a desired moving target without their inter-robot…AID: A Framework for AI Infrastructure Dynamics
A useful model of AI inference infrastructure must specify the system state, the information available to an observer, and the decisions the model is intended to support.Autonomous Droplet Navigation via Model-Based Reinforcement Learning: Zero-Shot Transfer and Emergent Dynamics
Self-driving laboratories (SDLs) are transforming chemical and materials discovery through closed-loop automation, yet automated infrastructure for physical manipulation of soft, deformable matter…Performance of Zero-determinant Strategies in Repeated Games without Discounting
Zero-determinant (ZD) strategies are a class of strategies in repeated games, which unilaterally control payoffs.