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 22
TacMind: Benchmarking and Modeling Tactile Interaction States for Robotic Manipulation
Tactile sensing provides robots with direct observations of contact physics, local geometry, and interaction dynamics, making it a vital source of feedback for contact-rich manipulation.Tactus: Tactile & Pose Sensing Glove for Natural Dexterity Data Collection
Collecting naturalistic human manipulation demonstrations with accurate contact force and hand pose is essential for robot dexterous manipulation policy and foundational world model learning - yet…CAPTURER: A Dexterous Aerial Manipulator for Dynamic and Precise Grasping across Diverse Environments
As a representative form of embodied robotic interaction, aerial grasping requires close coordination between the aerial platform and manipulator.Tracking Task Progress Through Errors and Recovery:A Benchmark and Recurrent Distributional Model
Operational strategies for long-horizon robotic tasks require reliable evaluation to determine whether execution is progressing, stalling, regressing, or recovering from errors.Actuator-Aware Observer Inputs for Cascade ADRC of Quadrotors Under Rotor Lag, Measurement Delay and Sensor Noise
In sampled cascade linear active disturbance rejection control (LADRC) of quadrotors, the extended-state observer typically receives the instantaneous command, although the delayed measurement…EgoContact: Evaluating Physical Intelligence with Egocentric Video
Egocentric video has emerged as one of the most scalable sources of data for learning generalizable manipulation priors.EmbodiExp: Compositional Experience Transfer for Embodied Agents
Experience can help embodied agents turn high-level plans into grounded actions, but transferring it across tasks remains challenging: previously effective strategies may be inapplicable to the…Event2Reward: Learning Robotic Rewards from Progress Relations
Learning task progress from robot demonstrations provides a practical way to construct dense shaping rewards for robotic reinforcement learning.Seeing and Imagining as One: Unified Video Generation and 4D Perception for Embodied World Modeling
Embodied world models should not only imagine plausible futures, but also perceive the geometric, semantic, and motion structure of the evolving world.RAIBO-Wagon: Real-Time Navigation System for a Legged Robot Towing a Wagon
Legged robots have demonstrated advanced capabilities across a wide range of real-world tasks, yet much of this progress concerns the robot controlling only itself.WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining
Predicting future physical states stands as a central challenge in embodied intelligence.CuBot-STT: Simultaneously Transport and Tighten for Lattice-type Modular Reconfiguration Robot
Lattice-type modular reconfigurable robots rearrange standardized modules across tasks.Cross-Controller Transfer via In-Context Behavior Adaptation
Generalist robot policies increasingly learn from data collected across diverse tasks and embodiments, yet typically assume a single controller for each robot.PriorMaskMap: Robust Online Vectorized Map Construction with Biased Priors
Online vectorized map construction provides autonomous vehicles with essential, real-time semantic and geometric scene understanding.OpenFlyV2: An onboard vision-language-action model for aerial perception and navigation
Human cognition flexibly draws on a shared perceptual foundation to understand environments, attend to referenced entities, reason about spatial relationships, and act.Language-Grounded Force/Torque Pretraining for Extrinsic Contact Perception
Fine manipulation requires robots to recognize when a grasped object makes or changes contact with its environment, yet such extrinsic contact is not always directly observable from vision or local…ProLoop: Progress-Aware Closed-Loop Framework via Structured State Relations for Long-Horizon Robotic Task Planning
Long-horizon robotic tasks are commonly decomposed into semantic subgoals to simplify planning.SONIC-K1: Porting a Universal Humanoid Motion Tracker to a Small Humanoid on a Single GPU
We present SONIC-K1, to our knowledge the first open-weights whole-body motion tracker for the Booster K1 humanoid, obtained by adapting the SONIC framework to this smaller robot.Utility-WAM: Correcting Future-Induced Action Changes
World Action Models (WAMs) can condition robot actions on generated visual futures, but this additional context is neither cost-free nor uniformly beneficial.Limit Theorems and Optimal Policies for Flock Flight through Poisson Forests
Inspired by birds flying through cluttered environments, Karaman and Frazzoli showed that high-speed flight through an ergodic random forest exhibits an ultimate speed limit: above a critical speed…