Applied & Human-Centered · Computer Science & AI
Robotics
The newest papers in Robotics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Securing the Robotics Supply Chain
This paper sets out what a sustained federal research and investment agenda would need to include to close that gap--not within a single budget cycle, but over the decade such an undertaking will…Continuous-Action World Models: Learning Cross-Embodiment Spatiotemporal Dynamics Priors
We introduce Continuous-Action World Models (CoAWM), a framework for learning cross-embodiment spatiotemporal dynamics priors that support robot action generation across embodiments and execution…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.Optimal Path Planning with Localization constraints
This paper studies UAV path planning in areas where GPS signals are not present.Improving Fine-Grained Manipulation through Demonstration Expansion and Execution Design
Fine-grained manipulation requires a robot policy to follow instructions, remain robust to visual variations, and translate predicted actions into precise robot control.Adaptive search with path-constrained mobile sensors using multi-arm bandits
We study a constrained sequential decision problem for detecting regions of interest from noisy online measurements collected by a team of energy-constrained mobile sensors.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.BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing
How effectively can vision-language-action (VLA) models learn diverse language-conditioned behaviors as training data scales?DAWN: Diffusion-based Alignment and unfastening Workflow Network
We present DAWN (Diffusion-based Alignment and unfastening Workflow Network), a hierarchical robotic framework designed to perform real-world, unfastening tasks through multi-modal sensory…PhysVLMM: Interaction-Conditioned Physical Belief Maps for Articulated Objects in Robot Scene Maps
Mobile robots must open doors and drawers, yet their scene maps record what each object is and whether it has moved, not how it will respond to a pull.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.Gym-Anything for Robotics: Scaling physical simulations with digital agents
Realistic, fast robotics simulations could enable large-scale training of embodied AI models that transfer to the real world.A Conveyor Belt Mechanism for Repositionable Magnetic Coupling Between Continuum Robots
This work proposes a novel conveyor belt mechanism enabling continuous, active repositioning of functional elements along the body of a tendon-driven continuum robot.SymAnt: Grounding Long-Horizon Action Anticipation with Adaptable Symbolic Priors
As robots and intelligent systems increasingly interact with humans, they must anticipate long sequences of future actions from only brief observations.SwapBot: Tool-Centric Robot Manipulation via Interchangeable End-Effectors and Tactile Sensing
Robot manipulation in everyday environments inherently involves substantial tool usage.WorldBridge: Bridging Video and Action for Task Generalization in World Action Models
Achieving the broad task generalization of embodied models in physical environments remains a central challenge in robot learning.CaPtain: A Pipeline for Post-Training Code-as-Policy Robot Agents
Across coding, web, and tool-use tasks, language-model agents are now routinely trained with the same recipe: supervised fine-tuning (SFT) to learn the interface, then multi-turn reinforcement…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.