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 19
DiffWBC: Unlocking Steerable General Humanoid Motion Tracking via One-Step Diffusion Whole-Body Control
General humanoid motion trackers typically rely on deterministic policies that cannot adapt online without brittle reference editing or costly retraining.MolmoSpaces-CommonSense: Evaluating Commonsense in Robotic Manipulation Policies
Real-world robotic manipulation requires reasoning about cluttered scenes, partially observable or hidden objects, and semantically appropriate actions, in addition to low-level execution within…BioAgent: Self-Directed Skill Acquisition and Capability Growth for Long-Horizon Laboratory Protocols
Executing an unfamiliar laboratory protocol requires a robot to identify missing capabilities and determine whether each operation remains valid as the experiment progresses.SACQ: Structure-Aware Codebook Quantization for Ultra-Low-Bit Vision-Language-Action Models
Vision-Language-Action (VLA) models enable capable robot behavior, but their large memory footprint limits deployment on resource-constrained robotic platforms.Physically Constrained Kinematic Calibration for High-Precision Robotic Needle Guidance
Percutaneous needle insertion is a common practice in minimally invasive procedures whose clinical success depends on accurate needle placement.SAFARI: Semantic- And Frontier-driven Autonomous Risk Inspection
Robotic exploration can reduce human exposure to hazardous environments by autonomously searching unknown areas for objects of interest while constructing a complete, risk-aware map.AC-SMPC: Differentiable Actor--Critic MPC with State Constraints for Safe and Fast Robot Navigation
Achieving safe navigation in confined dynamic environments remains a challenging problem, as robots must balance navigation efficiency with safety.FOCUS: First-Order Control Using Optimal Transport Supervision for Imitation from Observations
Imitation learning from observations must recover behavior from state-only demonstrations without known temporal correspondence.Contact-based optimization for collision-free motion planning for a million robots
Multi-agent robotic systems have attracted growing interest in recent years, with applications ranging from coordinated drone shows to autonomous operations on land, in the air, and on water.A complete analytical characterization of optimal collision-free motion for two robots
Collision-free motion planning for multi-agent robotic systems remains an active research area because of the complexity of coordinating robot trajectories, with applications ranging from…DrawSplat: Atlanta World-Guided Implicit Gaussian SLAM for Indoor Reconstruction
RGB-D SLAM requires accurate online tracking, high-quality rendering, and geometrically consistent reconstruction.VLA Policies Do Not Know When Not to Act: Unintended Task Execution and Start Suppression
A robot should act only on an instruction from a person or on an intent that the robot explicitly represents and generates.RTPolicy: Real-Time (32.9 Hz) Multi-View Visuomotor Policy for Robotic Manipulation on Edge Devices
Low inference latency is critical for closed-loop robotic manipulation, especially under asynchronous inference, where action chunks must be updated promptly to correct accumulated deviations.Direct Action-Manifold Modeling for Efficient and Robust Bimanual Manipulation
Diffusion and flow matching visuomotor policies require iterative denoising or numerical integration for multimodal action generation, introducing latency and execution mismatch.$\nabla$Mimic: Ultra-Efficient Humanoid Control with Differentiable Simulation
Robot policy learning is dominated by zeroth-order methods such as PPO, which treat the simulator as a black box and pay for it with enormous sample counts.ResMerge: Residual Policy Learning and Merging for Continual Adaptation of Pre-trained Robot Policies
Continual adaptation to new tasks is essential for robots deployed in the real world, but adapting pre-trained policies remains challenging due to parameter growth and the need for continual…GPU-accelerated Incremental Euclidean Distance Transform for Online Motion Planning of Mobile Robots
In this letter, we present a volumetric mapping system that effectively calculates Occupancy Grid Maps (OGMs) and Euclidean Distance Transforms (EDTs) with parallel computing.OpenVIO: A Versatile Open-Source Visual-Inertial Odometry System
Visual-inertial odometry (VIO) is a fundamental topic in robotics research.Interaction-Aware Sampling-Based Motion Planning for Autonomous Surface Vessels in Urban Waterways
Autonomous surface vessels operating in urban waterways must coordinate with other vessels in confined spaces while complying with traffic regulations, often without knowing their intentions.Biomechanics do not predict perceptual and cognitive consequences of force augmentation
Wearable force-augmentation technologies, including exoskeletons and soft exosuits, are being developed for occupational and rehabilitation settings to enhance performance by reducing the muscular…