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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Newest papers, page 118
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.PerturBot: Breaking Shortcut Priors in Vision-Language-Action Models with Perturbative Training
A vision--language--action (VLA) policy can complete complex tasks while ignoring the evidence that should determine its actions.PermVLA: Factorization Order as a Regularizer for VLA Learning
Vision-language-action (VLA) policies commonly learn action chunks through a fixed left-to-right (LTR) factorization, although the same expert trajectory distribution admits many valid chain-rule…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.RoboIRS: Inference-Time Internal Representation Steering for Generalist Robot Policies
Vision-language-action (VLA) and world-action models (WAMs) often degrade under out-of-distribution task variations despite retaining partial task capability.Test-Time Training as Residual Memory for Robot Policies
Memory is essential for long-horizon robotic manipulation, where successful actions may depend on past events that are no longer recoverable from the current observation.Emergent Underactuation in Fully Actuated Multirotors by Minimizing a Homogeneous Allocation Cost
Full actuation is commonly valued for independent position and attitude tracking.Probabilistic Pedestrian Forecasts from a Handheld Phone: World-Frame Heat Maps, Visual-Inertial Height Drift, and Evaluation without Ground Truth
A pedestrian with a phone could be shown where nearby people will be in the next few seconds, if the forecast stays on the ground while the phone moves, is calibrated, and needs only a monocular…Robot Learning with Visual Predicted Force
Force-aware manipulation typically relies on specialized force or tactile sensors.Lie Rarely, Lie Big: Stealthy Insider Attacks on LLM Robot Teams
When a team of robots delegates planning and mutual trust to LLM agents, a single compromised robot can corrupt the shared outcome.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.PatternDex: Learning Interaction Patterns to Guide Reinforcement Learning of Bimanual Dexterous Manipulation of Articulated Objects
In this paper, we develop a method that enables bimanual dexterous hands to manipulate articulated objects with a high success rate without suffering from an embodiment gap.Flow Policies as Actions of Skill-Level World Models: Learned and Symbolic Abstractions for Long-Horizon Planning
Latent world models enable robots to plan by predicting the consequences of actions.Learning Task and Motion Plans from Real Demonstrations with Hybrid Flow Matching
Long-horizon mobile manipulation requires a task plan and the motion that executes it.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…ExStereo: Lifting 2D Vision-Language-Action Models to 3D with Explicit Stereo Representations
Three-dimensional perception is critical for robotic manipulation, particularly for high-precision tasks, as recovering metric depth and precise 3D object positions from monocular RGB observations…SWAP: Stepwise Action Policy Routing for Vision-Language-Action Models
Robot manipulation systems using Vision-Language-Action (VLA) model backbones typically use just one VLA for task execution.Physical Twins: Accelerating and Enabling Robot Learning with Phantom Platforms
Improvements in human-robot physical interaction (pHRI) can have major implications for physical therapy, search and rescue, and telemedicine.ROMA: LLM System for Real-World Object-Centric Multi-Sensory Active Perception
Humans inherently understand the physical world through an active process.Learning Modular Policy for Multi-Floor Object Navigation:A Factorized Framework for Diagnostic Study
Object-goal navigation (ObjectNav) in multi-floor scenarios presents a challenge due to sparse rewards caused by long-horizon decision-making.