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 74
When a robot can trust reversing wind to find an odour source
A wind-derived heading can guide a robot towards an odour source even after the wind reverses, but its reliability depends on the plume's transport history.MoCaP: Mobile Code-as-Policies for Zero-Shot Mobile Manipulation from Passive Human Videos
Passive human videos of everyday activity offer robots access to a massive amount of human experience without requiring a demonstration for each task.An Optimal Algorithm for Changing from Longitudinal to Latitudinal Formation of Autonomous Aircraft Squadrons
This work presents an algorithm for changing from longitudinal to latitudinal formation of autonomous aircraft squadrons.YUBI-Real2Sim: 3DGS Scene Verification for Reliable Policy Evaluation
Evaluating VLA policies on real robots is costly, time-consuming, and difficult to reproduce, making real-to-sim simulation essential for scalable evaluation.Box-WAM: Box Trajectories as Compact State Representations for World Action Models
World action models (WAMs) are a category of policy models that ex- plicitly predict both actions and future world states.Sim4RAD: A MATLAB Toolkit for Design-Phase Sizing, Actuator Selection and URDF-Model Verification of Serial Robotic Arms
Actuator sizing is an early and consequential decision: joint torque and velocity specifications fix the motors, gearboxes and brakes before any CAD model exists.TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency
Textual reasoning before acting has improved vision-language-action (VLA) models, but at the cost of latency: every action conditioned on the reasoning text must wait for autoregressive decoding.Reference Wording Shapes Retrieval of Robot Task Instructions
Identifying a robot task from a short instruction is sensitive to which descriptions are available for retrieval.ATOM: Abstract Transition and Option Modeling - Experience-Informed Hierarchical Navigation
We propose ATOM (Abstract Transition and Option Modeling), a hierarchical navigation framework that combines higher-level graph planning with reusable lower-level option policies for efficient…Mobility-Budget-Constrained Submodular Maximization for Distributed Semantic Multi-Robot Exploration
Multi-robot exploration under communication and mobility constraints requires balancing information gain with reachability.EgoCPT: Learning Dexterous Manipulation from a Single Ego-Centric Video with Contact-Aware Optimization
While expert demonstrations on real robots are difficult to collect, human ego-centric videos are easy to collect and abundant on the internet.TacSpin: Tactile Tracking of In-Gripper Object Rotation on SO(3) via Axis-Magnitude Estimation
Tracking object motion within a gripper provides essential feedback for robotic manipulation.Physical-Field-Bridged Material Parameter Inference from Multi-View Deformation Videos
Estimating simulation-ready material parameters from visual observations is crucial for deformable-object manipulation but challenging because material properties are only indirectly revealed…Training Generalist Navigation Policies via Action Self-Distillation
Language provides a natural interface for humans to specify and reason about goals, but training language-conditioned robotic policies and reasoning typically requires expensive manual annotations.From Pixels to Executable Physics: Behavior-Grounded World Models for Embodied Action Consequence Prediction
In outdoor environments, varying terrain and contact conditions can cause identical action commands to produce different motion outcomes for quadruped robots.Acting Through Registers
World Action Models (WAMs) use generative visual representations to condition robot actions, yet how these representations organize action-relevant information remains poorly understood.Code2Worlds-2: Physically Plausible Agent Harness for Embodied World Simulation
Recent coding large language models (LLMs) can synthesize dynamic 4D worlds from natural language, but the resulting content remains a visual artifact.Towards a Systematic Study of Embodied System 2 over Full Task Execution Cycles
An embodied brain, or System 2, must turn an abstract goal into actions while discovering relevant scene conditions and checking whether executed skills achieved their intended effects.PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning
Diffusion models and Flow Matching can represent flexible distributions over robot actions, but many reinforcement learning algorithms also require the probability of each action.A Minimum Exact Disjunctive Basis for Two-Robot Solvability Profiles
We completely characterize the solvability profiles of tasks for two autonomous mobile robots in the plane under variable disorientation, chirality, and rigid movements.