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.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 165
Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching
Advances in generative modeling have recently been extensively employed in robotics for policy learning.DEAL-Grasp: Decoupled Alignment Representation for Geometry-Aware Dexterous Grasp Generation
Synthesizing realistic articulated hand-object interactions is a fundamental problem in virtual reality, embodied intelligence, and digital human applications.Dissecting Advantage-Guided Post-Training for Vision-Language-Action Policies
Advantage-guided reinforcement learning provides a practical way to post-train vision-language-action (VLA) policies using limited robot data.Dynamic, Decentralized Spatial Code Reuse for OCDMA LiDAR in Robot Swarms
Robots in a LiDAR-equipped swarm mutually interfere when their optical ranging codes collide.DAVIS: A Depth-Only End-to-End Active-Vision Framework for Humanoid Soccer Skills
Humanoid soccer contact skills require more than producing high-impact foot-ball contacts: the robot must close the loop over perception, approach, alignment, impact, and recovery while its own…GLASS: Architecture-Tuned, Composable, Device-Side Linear Algebra for Edge Robotics and Beyond
GPU robotics lacks the reusable numerical infrastructure of mature CPU stacks, instead relying on compiler frameworks that introduce overhead or repeatedly reimplementing numerical libraries.VLMs Can Describe, But Not Measure: Object-Centric Scene Understanding for Robotic Manipulation
Robotic operation in previously unseen environments requires both semantic understanding and reliable metric information.Large-Scale Geometric Map-Based Localization of UAVs in GNSS-Denied Urban Environments
Unmanned aerial vehicles (UAVs) operating in GNSS-denied urban environments require alternative methods for position estimation.Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers
Large Language Models (LLMs) introduce an exciting new paradigm for planning and navigation in robotics, but fail on even simple multi-robot tasks as team sizes grow.MemBodied: Recurrent Associative Memory for Vision-Language-Action Models
Vision-Language-Action models provide a strong foundation for general-purpose robot control, yet a vast majority of policies do not preserve and leverage episode-level information beyond the current…Generalizable Robotic Insertion with World Models
Robotic assembly in high-mixture settings requires adaptable systems that can handle diverse parts, yet current approaches typically rely on policies specialized to each insertion task.BrickCraft-Duo: Efficient Dual-Arm Skill Learning and Refinement for Compositional Long-Horizon Assembly
Interlocking brick assembly provides a representative testbed for evaluating real-world robotic manipulation capabilities, where diverse structural designs, complex inter-step dependencies…Talk2Escape: Conversational Grounding for Vision-and-Language Navigation
While Vision-and-Language Navigation (VLN) has demonstrated remarkable success, the prevailing single-turn paradigm exposes a fundamental vulnerability: agents operate in a strictly open-loop manner.Contact-Implicit Stein Projected ADMM for Discovery of Diverse Contact-Rich Manipulation Strategies
Contact-implicit trajectory optimization formulates contact-rich manipulation as a single constrained program; however, that single program run collapses onto one local optimum out of many equally…VGM-VS: Rethinking Visual Geometry Model for High-Precision Visual Servoing
We present VGM-VS, a visual servoing method built on a pretrained feed-forward visual geometry model.TANDEM: Task and Motion Planning with As-Needed Demonstrations for Efficient Vision-Language-Action Model Fine-tuning
Human teleoperators spend substantial time demonstrating behaviors that robots can already perform autonomously, limiting the scalability of data collection for robot foundation models.Multimodal Voice Activity Projection for Social Robot Mediation: Expected Behavior and Deployment Constraints
Turn-taking prediction is especially relevant for social robots that act as mediators in human-human interaction, where the expected action is often not to speak, but to orient, wait, avoid…Motoneuron-Inspired Sampling for Model Predictive Path Integral Control
Model Predictive Path Integral (MPPI) control relies on stochastic trajectory sampling, and its performance under limited rollout budgets depends strongly on the structure of the proposal…Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control
Pretrained generative Diffusion Transformers (DiTs) capture rich pixel-level visual and language-conditioned structure through large-scale image and video generation training.Privacy-Preserving Semantic Segmentation from High-Resolution Depth and Ultra-Low-Resolution RGB
As mobile robots become increasingly integrated into everyday environments, privacy risks arising from onboard cameras have become a growing concern.