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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 6
Compressed Orientation Reachability Maps for Sub-Second Robotic Needle Entry Point Planning
In the context of multi-stage trajectory planning for robotic percutaneous liver interventions, identifying a kinematically feasible entry point remains a critical computational bottleneck.Agentic process evidence
The way software gets built is changing dramatically.Learned Terminal Costs for Short-Horizon Model Predictive Control of Autonomous Trucks in Interactive Highway Traffic
Autonomous highway driving for heavy-duty trucks is a challenging control problem.Finite-Sample LTI System Identification from a Misspecified Finite Model Set
We consider the problem of finite-sample identification of an unknown LTI system from a finite hypothesis class.socx: GPU-Accelerated Chance-Constrained Stochastic Optimal Control using JAX
In this article, we present socx, a GPU-accelerated solver for lifted convex reformulations of linear stochastic optimal control under chance constraints, implemented in JAX.Fundamental Limits of Sampling-Based Reachability: Geometry and Flow Distortion
Sampling-based reachability estimates reachable sets from finitely many simulated trajectory endpoints.A Two-Wheeled Quadrotor with All-Clockwise Tilted Rotors for Level-Attitude Surface Locomotnion
Conventional wheel-equipped quadrotor UAVs must tilt their bodies to generate lateral forces, limiting their ability to maintain a desired attitude during lateral motion.A Tutorial on Shape Servoing of Deformable Objects-Part I: Fundamentals
In robotics, shape control (or shape servoing) refers to the automatic manipulation of a deformable object to achieve a desired shape.Adaptive Scenario Generation for KL-DRO Around a Learned Density Model
Distributionally robust optimization (DRO) hedges data-driven two-stage stochastic programs against error in the distribution estimated from a finite record, and standard ambiguity sets differ in…From Teleoperation to Long-Horizon Dexterity: Evaluating Visuomotor Skills and Offline Proxies for Dexterous Manipulation
Imitation learning policies are intended to make robotic manipulation robust to variations in object pose, appearance, and environment that challenge pre-programmed motion.How a group that cannot communicate knows itself by its enemy
Teams that cannot communicate seem stuck with what each member sees.Confidence-Modulated Safety Filtering for End-to-End Policies
End-to-end policies, from task-specific controllers to robot foundation models, learn complex behavior from raw observations but are not guaranteed to remain safe, so they are often wrapped in a…Learning Stabilizing Latent Feedback Controllers via Multi-Step Backward Losses
Can learned latent dynamics models support the design of feedback controllers that provably stabilize the original system?RC Prediction: A Python Package for Parameter-Aware Reservoir Computing
A nonlinear dynamical system can be characterized by the autonomous evolution of its state in time and its dependence on system parameters.A Robust Approach to Belief Mismatch in Non-cooperative Dynamic Games
Game-theoretic models are increasingly used to describe multi-agent interactions in control and robotics applications.Same Label, Different Interface: Beyond Action-Space Labels in Robot Learning
Robot-learning studies often compare position and velocity actions as though each label identified a single experimental treatment, yet the label alone does not determine what the robot executes.LLM-PowerTrace: A Dataset of Time-Resolved GPU Power Traces for AI Compute
AI compute is becoming large and fast-changing electrical loads.Inertial Steering and Motion Prediction of Tracked Vehicles on Low-Adherence Surfaces
Tracked vehicles are widely used in off-road applications, but their conventional motion models often rely on no-slip assumptions that become inaccurate on low-adherence surfaces.Selective Sliding Mode Control Enhances Robustness of Aerial Robots Under Disturbances
Quadrotor control under disturbances such as wind gusts and payload variations remains challenging.Tunable Spatial Task Allocation with Application to Maritime Swarms
In this chapter, we explore how a team of autonomous agents can flexibly reconfigure the distribution of its members across many spatially embedded tasks using a task allocation strategy grounded in…