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 46
Input Bias Correction in Gaussian Process Regression
In traditional Gaussian process (GP) regression, the inputs are typically assumed to be known, and uncertainty enters only through the measurements.Not an Accident: Exploiting Safety Filter Inadequacy in Humanoid Robots
As humanoid robots move from research laboratories toward deployment in human-centered environments such as homes, hospitals, and warehouses, safe operation around nearby people and objects becomes…Robotic Budding: From Homogeneous Cells to Diverse Morphologies in Physical Self-Reproduction
Physical self-reproduction in modular robots remains difficult because a robot must not only move, but also collect, align, dock, and separate modules reliably in hardware.PHD-Hand: A Printable Humanoid Dexterous Hand with Linkage-Driven 3-DOA Digits
Currently, dexterous humanoid robot hands are widely considered the final hardware bottleneck that hampers generalist robots from physically assisting people at home and work.Causal world models under physical parameter shifts
World models predict how embodied systems evolve under actions, but their accuracy can degrade when physical conditions move outside the training distribution.Learning to Absorb Corrections: Critic-Weighted Residual Flow for Vision-Based Insertion
Vision-based insertion requires correcting alignment errors while retaining useful behavior learned from demonstrations.State-Dependent Objective Coordination for End-to-End Balance and Navigation
Traditional robotic navigation systems separate mapping, planning, and low-level control through cascaded modules, introducing computational overhead and accumulated latency.SimPT: An Automated Simulation Framework for Intervention-Based VLA Post-Training
Human-in-the-loop (HIL) post-training improves vision-language-action (VLA) policies through expert corrections, but costly human supervision and repeated real-robot evaluation limit algorithm…How Representational Priors Shape Generalization in World Action Models
World action models (WAMs) are shown to substantially diverge under generalization performance based on their generative backbones.SMR: Learning streaming motion retargeting for humanoids from human semantic
Retargeting human motion to humanoids requires preserving motion semantics while accounting for the robot's physical constraints.NavBind: Diagnosing Instruction-Action Binding at Route Forks in Navigation VLAs
Vision-language-action (VLA) navigation models translate visual observations and instructions into actions.Failure Modes of Vision-Language Models for Human Activity Understanding in Thermal HRI
Thermal cameras enable robots to perceive human activities in darkness while revealing less personally identifiable appearance information and fewer details of the surrounding environment than RGB…DepState-JEPA: Learning Depth-Grounded State Representation for Visual Perception and Manipulation
Predictive representations for robot manipulation should connect scene geometry with the state changes induced by actions.Training in Deployment: Human-in-the-loop Online Post-Training for Robot Manipulation
Large pretrained robot foundation models provide strong priors for manipulation, yet adapting them to target tasks with offline teleoperated demonstrations often fails to cover the contact-rich…Relational Geometry Forcing for World Action Models
World Action Models (WAMs) have shown strong potential for robot manipulation by jointly learning visual dynamics and executable actions.Compressing Onboard Language Models for Space Robots under a Behavioral-Fidelity Requirement
Language models are being explored as the interface through which space robots interpret operator commands and select among verified skills.Plan First, Act Later: Streaming Reasoning for Executable Memory in Robot Control
Long-horizon robot manipulation requires a robot to remember task-relevant information beyond its short observation window.Payload generalization on feedforward control actions for trajectory tracking in robots with rigid and elastic joints
Industries employ robots for repetitive tasks due to their high precision and performance, typically achieved through feedforward control actions based on an accurate robot description.AOV-GS: Active Open-Vocabulary Semantic Mapping with 3D Gaussian Splatting
Robots deployed in human-centered environments need maps that support both geometric navigation and open-vocabulary semantic queries beyond a fixed label set.Integrating Flow Matching and Model Predictive Control for Safe Robot Navigation
Learning-based path planners based on diffusion and flow matching can generate diverse trajectories from demonstrations but typically lack mechanisms for constraint satisfaction and collision…