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 15
Dual Path Following for an Aerial Manipulator Under State and Input Constraints via Transverse Feedback Linearization
This paper studies dual path following for a quadrotor carrying a three-degree-of-freedom arm.$TF^2$-Steering: Action Refinement with Tactile Forecasts and Feedback via Velocity-Field Steering
Tactile sensing plays a crucial role in everyday human interaction.Democratizing Robot-Use Agents: A Unified Harness with Open Models
Robot-use Agents (RUAs) have shown promising zero-shot manipulation capabilities, but reliance on frontier, proprietary models limits research into further training.Beyond Validation Loss: Coverage and Reliability Dynamics in Robot Policy Pretraining
In modern robot learning, generative robot policies are first pretrained through supervised learning from demonstrations, then refined through reinforcement learning, supervised finetuning, or other…Recursive Self-Improvement of Exoskeleton Assistance Policies through Human-in-the-Loop Feedback
To reduce reliance on manual design and extensive parameter tuning, a framework for the autonomous evolution of exoskeleton assistance policies through human feedback is proposed.SCOUT: Planning under Occlusion via Object-Centric World Model Rollouts
Robots manipulating in cluttered spaces must often plan from partial views where foreground objects occlude the target, surrounding geometry, and usable free space.MagPillar: A Soft Magnetopillar Array Tactile Sensor for Robotic Surface Perception
Robotic surface exploration benefits from tactile interfaces that accommodate contact and capture variations in surface characteristics.UA-Depth: Uncertainty-Aware Depth Restoration for Material-Agnostic Object Manipulation
Robotic manipulation requires accurate metric depth, yet commodity RGB-D cameras often fail on non-Lambertian objects such as transparent, reflective, and translucent materials, producing holes…HuG: Learning Humanoid Whole-Body Affordance-Aware Grasping with Active Perception
Acquiring objects in human environments is hard for humanoids: targets are partially occluded under egocentric viewpoints, and reaching them demands coordinated whole-body motion that keeps the…GatedVLA with Camera-Based Emergency Braking: AlpaSim E2E Closed Loop Challenge Technical Report
This report presents GatedVLA, our entry for the Physical AI AV (PAI-AV) track.Route-Guided CBF-QP Repair for Safe Vision-Language-Action Models
Vision-language-action (VLA) models can generate task-oriented robot actions, but they do not guarantee safe execution in obstacle-rich manipulation scenes.ODE Policy: Robot Learning via Action Dynamics, Not Actions
Most robot policies, whether trained by imitation learning (IL) or reinforcement learning (RL), map observations to action values at discrete control steps and leave the continuity of physical…CompliantBot: Learning Whole-Body Compliance across Task Interfaces for Humanoid Control
Humanoid controllers need the ability to yield to external forces while retaining the capacity to resume their original tasks.Control Barrier Functions for Safety-Aware Latent-Space Motion Planning
Latent-space path planning (LSPP) compresses the configuration space of a robotic manipulator into a compact, differentiable manifold learned by a variational autoencoder, enabling fast…OpenNWM: A Generalist Navigation World Model with Latent Action Pretraining
Navigation world models predict future observations conditioned on navigation actions to support planning, but their generalization across real-world environments remains constrained by the limited…Answering Without Arriving: An Evidence Audit for Embodied Question Answering
Embodied question answering asks an agent to navigate, observe, and then answer questions about what it saw, yet answer accuracy alone cannot tell whether any of this happened.4D Triangle Splatting Reconstruction of Dynamic Endoscopic Scenes from Monocular Videos
Robust 4D reconstruction of deformable endoscopic scenes from monocular videos remains challenging due to non-rigid tissue deformation, illumination changes, occlusions, and unknown camera…Do Embodied VLMs Actually Use Their Scene-Graph Memory?
Embodied agents that answer questions about their route need a memory of what they saw, and scene graphs are a natural form for it.Back to the Future: Predicting Long-Horizon Dynamics with Retrospective Correction for Disturbance-Aware Retrieval
Retrieving objects from densely packed storage requires anticipating how contact disturbs surrounding objects when limited clearance prevents lifting the target over clutter.Scene-Adaptive Readout and Decoding in Diffusion Driving VLAs
Diffusion driving vision-language-action models repeatedly execute the backbone at every denoising stage, incurring substantial inference cost, while it remains unclear whether all scenes require…