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 182
Task aware Dynamic Movement Primitives for failure detection and recovery in contact rich manipulation
Assembly remains a challenging robotic manipulation task in presence of tight tolerances and complex contact interactions.Orientation-Aware Control and Trajectory Design for Aerial RIS-Assisted Wireless Communications
Aerial Reconfigurable Intelligent Surfaces (ARISs) can enhance wireless connectivity in obstructed environments by combining reconfigurable metasurfaces with aerial mobility.Robot World Models Are Not Invariant to How the Actions Are Written
A robot policy is trained with one of two action parameterizations: absolute joint targets, or deltas relative to the current state.MA-LIPP: Cooperative Multi-Agent Load-Aware Informative Path Planning for Heterogeneous Robot Teams
Field robotics missions often require physical samples to be returned to laboratories for analysis, making path planning inherently load-aware and order-dependent as accumulated samples increase…OpenRoIS: A Community-Driven Open-Source Middleware Implementing the Robotic Interaction Service (RoIS) Framework for Physical Robots and Virtual Agents
Service applications for human-robot interaction are commonly written against the hardware-specific interfaces of one platform, so a change of hardware forces a rewrite of the application.When to Waddle: A Comparative Study of Bipedal Torso-Stabilization on Low-Friction Surfaces
Low-friction surfaces challenge bipedal locomotion by limiting the contact forces available during stepping.Robust Structureless Monocular Visual Inertial Initialization Exploiting Line Features and Vanishing Points
Accurate initialization is essential for reliable visual-inertial odometry (VIO), but it is often ill-conditioned under degenerate motions.Stochastic Neural Signed Swept Volume for Real-time Chance-Constrained Trajectory Optimization
Collision-free motion planning requires reliable collision models from sensed environments and validation of states along a continuous trajectory.Visual Navigation Transformer with Pose Attention
Learned navigation policies typically consume observations as a temporally ordered history, with positional encodings tying each observation to when it was seen, making it difficult to reuse…Fewer Steps, Better Actions: Rethinking Flow-Matching Inference for VLA Policies
Vision-language-action (VLA) policies based on flow matching generate action chunks through repeated evaluations of an action expert.Multi-viewpoint Geo-localization with Event Cameras
Robot localization is an ongoing challenge that demands mapping and positioning systems that are tolerant to viewpoint change.Safe Real-Time Policy Steering via Noise-Space Trajectory Optimization for One-Step Generative Policies
Generative robot policies can represent diverse, multimodal behaviors, but adapting pretrained policies to deployment-time constraints such as collision avoidance and orientation maintenance remains…A Fully Differentiable Neuro-Soft-Symbolic Framework for Perceptual Task Planning
Perceptual planning tasks require two key capabilities: accurately perceiving uncertain scenes and planning valid action sequences following logical rules.SafeStage: Evaluating Safety Before, During, and After Vision-Language-Conditioned Robot Manipulation
Vision-language-conditioned robot policies integrate perception, language understanding, and control for general-purpose manipulation.AirSplan: Risk-Aware Motion Planning for Quadrotors in Cluttered 3D Gaussian Splats
Quadrotors are increasingly deployed in applications such as agriculture, infrastructure inspection, and maintenance.FOCAL-VLA: Subtask-Guided Geometry Distillation and Implicit World Modeling for Vision-Language-Action Models
Vision-language-action (VLA) models built on pretrained vision-language models have demonstrated strong performance across diverse robotic manipulation tasks.KnowDemo: Knowledge-Guided Robot Demonstration Generation from Human Videos
Learning robot manipulation policies typically requires substantial demonstration data, which are costly to collect on real robots.VLA-Scope: Shift-Aware Failure Prediction for Vision-Language-Action Models
Vision-language-action (VLA) models map visual observations and natural-language instructions to robotic actions, but distribution shifts can compromise their reliability.LOInK: Learned Optimal Inverse Kinematics via Structured Neural Surrogate Models
We introduce Learned Optimal Inverse Kinematics (LOInK), a method to generate approximately optimal solutions to an inverse kinematics problem.Stability-aware Residual Reinforcement Learning Framework for Robotic Manipulator Disturbance Compensation
Although conventional controllers and disturbance observers (DOBs) are the standard for precision tracking in manipulators, they suffer from parameter uncertainty, nonlinear friction, and compound…