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 92
Learning to See through Action: Predictive Curiosity for Robots
Humans and animals do not learn vision from a fixed set of data: they move, interact, and learn from the visual consequences of their actions.PILOT: Guiding Long-Horizon World-Model Planning for Robot Manipulation with Visual Subgoals and Policy Priors
Latent world-model planning has shown promising results in goal-conditioned robotic manipulation, but remains challenging for long-horizon planning due to limited temporal guidance and inefficient…CoPlanVLM: Coordinated Path Planning for a Robot Team using Vision Language Models
We present CoPlanVLM, which uses a Vision Language Model (VLM) to translate a single natural-language instruction and image into coordinated paths for a team of two robots.Continuous-Time Cloth Dynamics with Physics-Informed Neural ODEs
We present ContinuousCloth, a continuous-time, physics-informed neural solver for deformable cloth dynamics that enforces a spring--mass ODE within a neural trajectory model.Learning Transferable World-Action Models from Task-Paired Human Videos
World-action models inherit broad visual and physical priors from video pre-training.DexFLEX: Contact-Aware Foundation Controller for Command-Guided Dexterity
Dexterous robot hands can receive useful motion intent from teleoperation or learned policies, but successful execution also depends on contact decisions that these commands rarely specify.OATH: Object-Agnostic Tracking for Dexterous Hands, Enabling Rapid Physics-based Retargeting
Retargeting human demonstrations into dynamically feasible dexterous hand trajectories requires resolving complex contact physics, yet current methods either omit physical constraints or rely on…Memory Without Curation: Learning Multi-Stream Latent Memory for Robot Policies
It is widely appreciated that robotic policies require long-term memory to perform complex tasks.Rendering-Free Lookahead for Question-Guided Active Vision
Active robot vision requires controlling the camera to reveal task-relevant information that is hidden from the current viewpoint.A Reconfigurable Fabric Based Pneumatic Actuator with Button Fastened Constraint Modules for Multi Mode Actuation
Soft pneumatic actuators are widely used in soft robotics.Towards Path-Creative Navigation: Robot Navigation through Embodied Interaction
Autonomous navigation in cluttered and constrained environments typically assumes a fixed environment and searches only for paths within existing free space.FOCUS: From Privileged States to RGB-D with Controlled Modality Switching and Representation Alignment
Vision-based reinforcement learning for robotic manipulation is sample-inefficient because RGB-D observations are high-dimensional and noisy.Distributed Relative Localization Based on Ultra-WideBand and LiDAR for Multi-robot with Limited Communication
Relative localization is crucial for a multi-robot system to collaboratively perform tasks, such as exploration and formation.VGGTWorld-VLA: Intent-Conditioned 3D World Evolution for Autonomous Driving
VGGT provides a strong foundation for geometry-centric world models by recovering unified 3D scene geometry from visual observations.PMTRM: Pseudo-Memory Temporal Re-encoding Module for Embodied Policy Learning
Robotic manipulation often contains repeated motions whose local observations look similar at different phases.Higher-Order Action Supervision Makes A Strong Policy Class
Modern data-driven decision-making methods, such as imitation learning (IL) and reinforcement learning (RL), have achieved great success in solving many complex tasks.OmniDex: Scaling Dexterous Hand Grasping to Diverse Cluttered Scenes
Dexterous grasping is the foundational primitive in embodied AI, demanding massive data to train robust models.GATOR: Generative and Agentic 3D Object Reconstruction From Casual Images
Reconstructing complete, scene-aligned 3D objects from casual images requires integrating sparse, uncertain observations and inferring surfaces hidden by occlusions.Demonstrating Arena 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation
Building upon the foundations laid by our previous work, this paper introduces Arena 5.0, the fifth iteration of our framework for robotics social navigation development and benchmarking.How Firm Should a Grasp Be?
An ideal robot grasp is firm enough to securely handle an object, yet gentle enough to avoid damaging it.