Engineering & Signals · Interdisciplinary & Society
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.
Get the few papers worth your time in Systems & Control every morning.
Follow Systems & Control and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 17
Fast Planning for Multi-object Multi-target Throwing
Robot throwing has emerged as a promising technique for improving efficiency in logistics and warehouse automation, by enlarging the workspace and speeding up the process.Co-Evolving Robot Orchestrators and Policies through Deployment
Vision-language-action (VLA) policies trained on large datasets are capable within their training domains, yet they still fail to generalize to the variety of situations a robot meets in real-world…Virtual model control for compliant reaching under uncertainties
Virtual Model Control (VMC) is an approach to design a controller for force-controlled robots in complex uncertain environments.Demonstration-Calibrated Port-Hamiltonian Retuning for Manipulation Policies
Diffusion and VLA policies for manipulation are often deployed through downstream impedance controllers.Dynamics-Aware Adaptive Corridors with Feasibility-Perturbed Trust-Region SQP for Certified Nonholonomic Motion Planning
Optimisation-based parking planners usually impose collision constraints only at the time samples, so a vehicle corner can cut an obstacle between samples, and no executable trajectory exists until…Dual-Rate Force-Image Control with Model-Based Orientation Limits for Robotic Ultrasound
Robotic ultrasound couples a high-rate contact-force loop with slower, delayed image feedback, so image-guided ultrasound probe rotation can perturb contact force before the resulting image response…Hierarchical Reinforcement Learning for Collision-Free Locomotion of an Underactuated Biped
A bipedal robot cannot deviate from its path to avoid an obstacle without disturbing its balance, and this coupling is most severe on underactuated platforms such as the biped considered here, which…Time-series Foundation Models for Predictive Control: The Role of Excitation
Deploying model predictive control (MPC) requires constructing or identifying a predictive model for each target system.Interleaved Projected Gradient Descent for Safe Imitation Learning
We propose an imitation-learning design for neural-network control policies under state and input constraints.Benchmarking Time Series Foundation Models for Load Forecasting Under Covariate Uncertainty
Accurate short-term load forecasting (STLF) is essential for the reliable and efficient operation of modern power systems.Distribution-Transfer Safe-Horizon MPC under Mode Uncertainty
Scenario-based MPC is an attractive strategy for chance-constrained motion planning that approximates uncertainty via a finite set of sampled scenarios.Expressiveness, Equivalence, and Uncertainty in Velocity Obstacles and Closest Point of Approach Metrics
Time to Closest Point of Approach (TCPA), Distance to Closest Point of Approach (DCPA), and Velocity Obstacles (VOs), are widely used to assess and mitigate collision risk in autonomous navigation…AeroBuoy: A Drone Deployable, 3D Printed, Autonomous Robotic Buoy for Environmental Inspection in Remote and Hazardous River Systems
Monitoring of waterways such as remote and hazardous rivers and streams is important so as to assess the impact of external factors including construction runoff or climate change.An Autonomous, 3D Printed, Waterjet-Powered, Open-Source Robotic Trimaran for Environmental Inspection and Monitoring
Versatile, autonomous robotic boats can offer excellent environmental inspection and monitoring solutions for remote, dangerous, hard to reach, or access protected water bodies.Risk-Sensitive Crowd Navigation with Adaptive Ellipsoidal Conformal Prediction
Safe crowd navigation under distribution shift requires uncertainty representations that capture structured human-motion prediction errors and safety objectives that account for rare but…The interface of data assimilation and machine learning
Data assimilation (DA) is the process of combining forecasts from a model with observations in order to optimally estimate the state of a system.Tackling Sim-to-Real Mismatch Through Sampling-Based Disturbance Observers: From Analytical Models to Learned World Models
Robotic controllers increasingly rely on analytical models, simulators, cost-query interfaces, and learned world models.GJK-CBF: Control Barrier Functions for Convex Rigid Body Collision Avoidance on SE(3)
Collision avoidance among convex bodies is a fundamental problem in robotics.A Unified Dynamics Framework for Reinforcement Learning and Classical Control of a Six-DOF Pipeline-Tracking ROV in NVIDIA Isaac Sim
Reinforcement learning controllers for underwater vehicles are usually trained against one physics representation and deployed against another, so reported performance does not always describe…When LLMs Sit Above Diagnostic Tools: Unrealized Complementarity in Industrial Fault Diagnosis
Large language models are increasingly used as integration layers above specialized tools, but a stronger component does not necessarily produce a stronger combined system.