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 65
CQDC-Warp: GPU-Accelerated Differentiable Quasi-Dynamic Simulation for Contact-Rich Manipulation
Efficient synthesis of contact-rich manipulation trajectories is essential for downstream robot learning.A Black-Box Positioning Solution for Effortless Integration in Wearable Navigation
Accurate localization is critical for a wide range of applications, including navigation, augmented reality, safety management, and healthcare.Hierarchical Building-Floo-Room Framework for Privacy-Preserving Autonomous Delivery in Large-Scale Buildings
Autonomous delivery in large scale buildings requires coordinated planning across multiple spatial levels, including building, floor, and room, while ensuring scheduling efficiency.LTM: Latent Transition Based In-Context Memory for Vision-Language-Action Models
Robotic manipulation often requires remembering interactions that are no longer visible.From Optical Flow to Safety: Visual Safety Certification via Scale-Free Relative Motion
Safe autonomous navigation using monocular vision remains challenging because explicit obstacle states are not directly observable.Fast-VLA: You Only Think Once for Robot Manipulation
Vision-language-action (VLA) policies commonly place a multi-billion-parameter model inside the feedback loop, repeatedly recomputing task context whenever they predict a new action chunk.Modular Inverse Dynamics and Wrench Recovery for Closed-Chain Mechanisms Using Path Assembly
Rigid closed chains can admit indeterminate internal reactions even when their motion is fully specified.CLAD: Keypoint Matching Using Global Line Correspondences
Traditional keypoint descriptors, such as SIFT (Scale-Invariant Feature Transform) and ORB (Oriented FAST and Rotated BRIEF), are computed from local image patches.MuSTMM: Learning Sound-Triggered Mobile Manipulation across Multiple Scenes
Sound-Triggered Mobile Manipulation (STMM) requires robots to respond to sound events by navigating to the associated objects and performing appropriate physical interactions.Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution
Vision-language-action (VLA) policies generate action sequences that reduce repeated inference, but deciding how much of each sequence to execute is critical to task success.X-Fly: Learning to Reach and Stop in Full-Chunk Aerial Vision-Language Navigation
Aerial vision-language navigation (VLN) agents built on large vision-language models are expensive to query.CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance
While generalist vision-language-action (VLA) models have enabled diverse open-world manipulation, real-world robotic assistance requires two critical capabilities they currently lack…A 2D Image Feedback-Based Autonomous Endovascular Navigation Method: A Perception and Control Framework
In endovascular interventions, physicians rely on planar DSA and X-ray fluoroscopy to interpret vessel anatomy and device motion, yet converting these images into feedback for autonomous navigation…Location-Based Safety Management with Wearable Seamless Indoor-Outdoor Positioning
Reliable worker localization is essential for real-time industrial safety management, but seamless outdoor-indoor positioning remains challenging.TRACE: Typed Reference-Aware Conversational Editing for Humanoid Motion Diffusion
Language-conditioned humanoid motion generation enables users to create and refine robot movements through natural language.Multi-Teacher On-Policy Distillation for Flow-Based Vision-Language-Action Models
Specialized vision-language-action (VLA) policies acquire strong domain-specific skills, yet consolidating these skills into one shared policy remains challenging.Attribution-Gated Joint Estimation of Intention and Capability for Assist-as-Needed Upper-Limb Robots
Assist-as-needed (AAN) control must distinguish between changes in intended motion and changes in effective voluntary torque capability, even though both can produce similar kinematic and…AVALON: Zero-Shot Indoor Navigation with Human-Seeded Topological Memory
Indoor service robots often enter unmapped buildings whose layouts and task constraints are already familiar to users.A Flow-Theoretic Multimodal Control Framework Fusing Mental and Physical Engagement for Upper-Limb Rehabilitation
While Assist-as-Needed (AAN) control aims to maximize user participation in robot-assisted training, existing methods relying solely on physical metrics cannot distinguish muscular inability from…Training-Free Target-Aware Refinement of 3D Gaussian Language Map
Distilling vision-language features into 3D Gaussian Splatting yields a language map that can be queried with arbitrary text.