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Momentum

25 papers in the last four weeks, up 127% on the four weeks before. 0.2% of all new papers.

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  1. SeaVis: Modeling and Control of a Remotely Operated Towed Vehicle for Seabed Visualization and Mapping

    May 14, 2026Abdelhakim Amer, Aske Alstrup, Frederik Rasmussen +3Robotic ControlRobust Control

    Artificial Intelligence in Robotics Laboratory (AiR Lab), Department of Electrical and Computer Engineering, Aarhus University, 8000 Aarhus C, Denmark · EIVA a/s, 8660 Skanderborg, Denmark · Automatic Control Group (RAT), Department of Electrical Engineering and Information Technology, Paderborn University, Paderborn, Germany

  2. Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability

    May 14, 2026Yushen Liu, Yin-Jen Chen, Ziyi Chen +4Safety-Critical ControlPartially Observable RL

    University of Virginia · Google · University of Maryland, College Park +3

  3. Bounded-Input True Proportional Navigation for Impact-Time Control

    May 13, 2026Lohitvel Gopikannan, Shashi Ranjan Kumar, Abhinav SinhaFeedback ControlSliding Mode Control

    Intelligent Systems & Control (ISaC) Lab, Department of Aerospace Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India · Guidance, Autonomy, Learning, and Control for Intelligent Systems (GALACxIS) Lab, Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, OH 45221, USA

  4. High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning

    May 12, 2026Ricard Montalà, Bernat Font, Oriol Lehmkuhl +2RL ControlFeedback Control

    1TUAREG, Universitat Politècnica de Catalunya (UPC), Terrassa, Spain · 2Mechanical Engineering, Delft University of Technology (TU Delft), Delft, Netherlands · 3CASE, Barcelona Supercomputing Center (BSC), Barcelona, Spain +1

  5. Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance

    May 11, 2026Adam Haroon, Erick J. Rodríguez-Seda, Cody Fleming +1RL ControlLyapunov-Based Control

    Department of Mechanical Engineering, Iowa State University, Ames, IA, USA · Navy Center for Applied Research in Artificial Intelligence (NCARAI), U.S. Naval Research Laboratory, Washington, D.C., USA · Department of Weapons, Robotics, and Control Engineering, United States Naval Academy, Annapolis, MD, USA

  6. Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning

    May 11, 2026Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner +1Agent Communication ProtocolsFeedback Control

    Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland · Center for Artificial Intelligence, Helsinki, Finland

  7. Dynamic Controlled Variables Based Dynamic Self-Optimizing Control

    May 7, 2026Chenchen Zhou, Shaoqi Wang, Hongxin Su +3Data-Driven ControlFeedback Control

    College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang Province, P.R. China · Institute of Zhejiang University-Quzhou, Quzhou, Zhejiang Province, P.R. China

  8. Offline Reinforcement Learning for Rotation Profile Control in Tokamaks

    May 7, 2026Rohit Sonker, Hiro Josep Farre Kaga, Jiayu Chen +5RL ControlOffline RL

    1Robotics Institute, Carnegie Mellon University · 2Princeton University · 4The University of Hong Kong +2

  9. Counter-Dyna: Data-Efficient RL-Based HVAC Control using Counterfactual Building Models

    May 6, 2026Jan Marco Ruiz de Vargas, Fabian Raisch, Zoltan Nagy +2Neural Surrogate ModelingBuilding Energy Management

    Technical University of Munich Munich, Germany · Technical University of Applied Sciences Rosenheim Rosenheim, Germany · Eindhoven University of Technology Eindhoven, Netherlands +1

  10. Bio-plausible Neuromorphic Disturbance Observer Based on Emulation Theory: Extended Version

    May 5, 2026Hongfu Xu, Xiaoyu Guo, Shengbo Wang +1Robust ControlSpiking Neural Networks

    School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China · Department of Mechanical Engineering, City University of Hong Kong, Hong Kong · Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong +1

  11. Feasibility-aware Hybrid Control for Motion Planning under Signal Temporal Logics

    May 5, 2026Panagiotis Rousseas, Dimos V. DimarogonasConstrained Motion PlanningSignal Temporal Logic

    ∗KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Division of Decision and Control Systems

  12. Remote Action Generation: Remote Control with Minimal Communication

    May 3, 2026Szymon Kobus, Deniz GündüzRL ControlReinforcement Learning

    Electrical and Electronic Engineering Imperial College London

  13. Lateral String Stability for Vehicle Platoons: Formulation, Definition, and Analysis

    May 3, 2026Sixu Li, Swaroop Darbha, Yang ZhouIntelligent Transportation SystemsAutonomous Driving

    Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843, USA · J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA

  14. Quasi-Static Control of Discrete Cosserat Rod

    May 2, 2026Srishti Siddharth, Domenico Campolo, Ravi BanavarRobot Trajectory TrackingFeedback Control

    Centre for Systems and Control Indian Institute of Technology Bombay Mumbai, India · School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore

  15. Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control

    Apr 28, 2026Ankur Kamboj, Biswadip Dey, Vaibhav SrivastavaDynamical SystemsFeedback Control

    Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824 · Meta Reality Labs, Redmond, WA 98052

  16. Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator

    Apr 24, 2026Spencer Hutchinson, Nanfei Jiang, Mahnoosh AlizadehStochastic Linear Dynamical SystemsStochastic Optimal Control

    Department of Electrical and Computer Engineering, University of California Santa Barbara

  17. The Feedback Hamiltonian is the Score Function: A Diffusion-Model Framework for Quantum Trajectory Reversal

    Apr 23, 2026Sagar Dubey, Alan JohnFeedback Control

    Stony Brook University Stony Brook, NY 11794, USA

  18. A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

    Apr 22, 2026Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy +3RL ControlModel Predictive Control

    Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy · Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran · Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran +2

  19. Passive Variable Impedance For Shared Control

    Apr 22, 2026Maximilian Mühlbauer, Nepomuk Werner, Ribin Balachandran +4Impedance ControlFeedback Control

    School of Computation, Information and Technology, Sensor Based Robotic Systems and Intelligent Assistance Systems, Technical University Munich, Friedrich-Ludwig-Bauer-Str. 3, Garching, Germany. · German Aerospace Center (DLR), Robotics and Mechatronics Center (RMC), Münchener Str. 20, 82234 Weßling, Germany.

  20. A Network-Aware Evaluation of Distributed Energy Resource Control in Smart Distribution Systems

    Apr 21, 2026Houchao GanDistributed OptimizationFeedback Control

    Department of Computer Science City University of New York

  21. Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control

    Apr 21, 2026Julian Skifstad, Xinyue Annie Yang, Glen ChouLLM AlignmentLanguage Model-Based Control

    1Georgia Institute of Technology, Atlanta, GA, USA. Schools of Electrical and Computer Engineering · 2Computer Science · 3Cybersecurity and Privacy, Aerospace Engineering

  22. Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

    Apr 20, 2026Jun Chen, Umberto Biccari, Junmin WangFeedback ControlDeep Operator Networks

  23. Planning Smooth and Safe Control Laws for a Unicycle Robot Among Obstacles

    Apr 19, 2026Aref Amiri, Basak Sakcak, Steven M. LaValleRobotic ControlConstrained Motion Planning

    Faculty of Information Technology and Electrical Engineering, University of Oulu · Department of Advanced Computing Sciences, Maastricht University

  24. Neural Network-Based Adaptive Event-Triggered Control for Dual-Arm Unmanned Aerial Manipulator Systems

    Apr 18, 2026Yang Wang, Hai Yu, Wei He +3Robot Trajectory TrackingAerial Robotics

    Institute of Robotics and Automatic Information System, College of Artificial Intelligence, and Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China. · Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen 518083, China.

  25. Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility

    Apr 17, 2026Colin Jüni, Mina Montazeri, Yi Guo +3RL ControlBuilding Energy Management

    Urban Energy Systems Laboratory, Swiss Federal Laboratories for Materials Science and Technology, Dubendorf, Switzerland. · School of Automation, Beijing Institute of Technology, Haidian District, Beijing, China · Reliability and Risk Engineering Laboratory, ETH Zürich, CH-8092, Switzerland.

  26. Planning for Change: Reinforcement Learning Combined with Bounded Extremum Seeking for Robotic Control under Distribution Shift

    Apr 1, 2026Shaifalee Saxena, Rafael Fierro, Alexander ScheinkerRobotic ControlReinforcement Learning

    Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87106, USA · Los Alamos National Lab, Los Alamos, NM 87547, USA

  27. Model Predictive Path Integral PID Control for Learning-Based Path Following

    Mar 31, 2026Teruki Kato, Koshi Oishi, Seigo ItoNonlinear MPCResidual Dynamics Learning

    Toyota Central R&D Labs., Inc., Nagakute 480-1192, Japan

  28. Separation is Optimal for LQR under Intermittent Feedback

    Mar 29, 2026Abdullah Y. Etcibasi, C. Emre Koksal, Eylem EkiciSequential Decision MakingStochastic Optimal Control

    The Ohio State University

  29. MetaTune: Adjoint-based Meta-tuning via Robotic Differentiable Dynamics

    Mar 28, 2026Xiexin Peng, Bingheng Wang, Tao Zhang +2Robust ControlFeedback Control

    School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China · Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore · Wuhan Zhenyou Technology Co., Ltd., Wuhan 430205, China

  30. Fundamental Limits for Sensor-Based Control via the Gibbs Variational Principle

    Mar 19, 2026Vincent Pacelli, Evangelos A. TheodorouFeedback ControlPartially Observable Markov Decision Processes

    Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA, 30308