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 21
A Hybrid Path Planning Framework for Assistive Wheelchair Navigation in Dynamic Pedestrian Environments
Autonomous wheelchairs can improve the quality of life for individuals with mobility impairments by providing greater independence.REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control
Foundation models are becoming remarkably reliable at high-level reasoning, yet they remain too slow and costly to serve as fine-grained controllers.CausalWAM: Learning the Causes of Actions in World Action Models
World action models (WAMs) learn latent variables from observations and use these to both predict the evolution of the scene and to generate actions.ROOF: Learning Humanoid Fall Recovery under Overhead Constraints
A fallen humanoid beneath an overhead obstacle faces a coupled recovery problem.RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory
Recent work shows that a frozen robot policy performs far better inside an agent harness, where control code decides when to query the policy, consult vision tools, or command the arm directly.Hierarchical World Models with Implicit Dynamics
Planning with world models enables test-time adaptation for embodied agents, offering superior generalization over direct policy learning.From Concepts to Actual Causes: Toward Closing the Concept-Malfunction Gap in Robot Foundation Models
Post-incident analysis of a robot foundation model poses a singular causal question: which internal components caused this failure, and to what degree?Scaling Trusted Autonomy: Towards Generally Capable Verifiable Robots
Robots powered by foundation models are increasingly able to interpret open-ended language, recognize unfamiliar objects, and operate across diverse environments.Learning to Live: A Step Toward Lifelong Embodied Intelligence
Embodied agents are usually organized around individual tasks, yet the physical world keeps changing between tasks and during execution.Anchor 1: Precise and Stable Humanoid Control for Whole-Body Manipulation
Humanoid controllers have acquired increasingly diverse motor skills, yet translating these capabilities into precise and stable whole-body manipulation remains challenging.Spectral and Conformal: Neural Network Methods for Calibrated Trajectory Prediction and Control-Point Intervals
Autonomous systems that navigate their environment need methods to quickly assess the feasibility and safety of desired trajectories.Supervised Autonomous Bimanual Suction and Cauterization for Bleeding Control in Low Grade Splenic Trauma
Uncontrolled hemorrhage remains a leading cause of preventable trauma mortality.Does Validation Loss Predict Real-Robot Success? Evidence from Four Imitation-Learning Policies on a Low-Cost Arm
Held-out validation loss is the standard offline signal for choosing checkpoints and comparing models, but its relation to closed-loop success on a real robot is rarely measured.Teach, Abstract, Apply: A Framework for Dialogue-Driven Task Learning with Collaborative Robots
Collaborative robots (cobots) are designed to be safer and more interactive than traditional industrial robots, share the same workspace as humans, and assist them in a range of shop-floor tasks…Catenary Visibility: A Geometric Framework for Planning with Tethered Robots
This paper introduces \emph{catenary visibility}, a new geometric visibility concept for a robotic system consisting of a ground robot tethered to an aerial drone.SPARK: Self-Correcting Embodied Memory via Physical Re-Observation
Retrieval-augmented generation (RAG) systems have seen growing adoption in embodied settings as language-queryable memories of the environment.When appearance and motion disagree: evaluating class--motion consistency against disguised uncrewed surface vessels
Defense systems for maritime assets must distinguish approaching benign craft from uncrewed surface vessels (USVs) with sufficient warning to act.Emergent Control of Ant Learning Walks in a Mobile Robot
Before foraging, desert ants perform learning walks (LWs) to acquire visual memories around their nest.CalVLA: Shaping Native Confidence in Vision-Language-Action Policies with Outcome Supervision
Can a vision-language-action (VLA) policy signal likely task failure from its own action probabilities?Behavior Graphs: Unsupervised Graph Structures for Interpreting Robot Deployment Data
Data flywheels promise continuous improvement via insights from deployment data.