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 40
Incremental-Smoothing-Based ARAIM Protection Levels for Tightly Coupled GNSS/IMU Integration in Urban Canyons
Protection levels (PLs) bound position errors under specified fault hypotheses and risk budgets, but advanced receiver autonomous integrity monitoring (ARAIM) is formulated for snapshot GNSS…From Tabletop to Walking Bot: Deploying a VLA Model on a Legged Manipulator Robot
Vision-language-action (VLA) models are typically pretrained on broad, diverse datasets and subsequently fine-tuned on a comparatively small dataset tailored to a specific target robot.Delay Randomization Widens the Delay Margin of Learned Humanoid Motion Trackers
Learned humanoid controllers are usually trained in one simulator and then checked in a second one before they go near hardware.MAST-VLA: Skill-Conditioned Adaptation with Trajectory-Affordance Priors for Multi-Skill Robot Manipulation
Generalist robot manipulation requires a single vision-language-action (VLA) policy to execute diverse skills across scenes and instructions.DynaSlots: Slot-Centric 3D Dynamics Pretraining for Robot Manipulation
Robot manipulation involves localized changes: picking up a cup moves the cup while leaving the surrounding scene largely unchanged.LogLook: Execution-Grounded Memory for Frontier-Model Robot Planners
Many manipulation tasks require a robot to remember what it has done and what it has seen.Graphs of Trajectory Bundles for Nonlinear Motion Planning
We present the Graphs of Trajectory Bundles (GTB) method for motion planning of systems with nonlinear and black-box dynamics, combining sampling-based motion planning with trajectory optimization…$R^2E:$ A Role-driven Reward Evolutionary Framework for Automated Reward Function Design
Designing effective reward functions is a critical challenge in Reinforcement Learning (RL), which traditionally requires costly manual trial-and-error.CoCarry: Contact-Support-Structured Retargeting for Dual-Humanoid Cooperative Carrying
Recent advances in large-scale human motion data, motion retargeting, and motion imitation have enabled increasingly capable whole-body control for individual humanoids.From Freehand Demonstrations to Autonomous Robotic Ultrasound: An Anatomy-Anchored Learning Framework
Ultrasound imaging is highly operator-dependent, motivating robotic systems that reproduce expert scanning skills consistently.Facultative Swarming: A Capability, Not a Category, for Multi-Robot Systems
Collective robotics is split by a long-standing but increasingly artificial boundary between centralised multi-robot systems that prioritise optimality and decentralised swarms that prioritise…Optimization, Optimal Control, and Reinforcement Learning for Robotics
These lecture notes provide an introduction to optimization, optimal control, and reinforcement learning for robotics, emphasizing their mathematical connections and practical relevance.HGWM: Hierarchical Graph-Guided World Model for Zero-Shot Object Navigation via Graph Matching
Zero-shot object navigation requires an agent to reason about where a target may be found while retaining evidence from previous observations.UAV-SwarmAgent: Scalable Multi-UAV Reconnaissance and Task Allocation via Code Generation and Vision-Language Reasoning
Supervising a multi-UAV reconnaissance mission usually means plotting waypoints and watching every drone.OWLS: Open-world Language-conditioned Speed Fields for Zero-Shot Rover Navigation
Semantics can provide a proxy for physical traversability.Natural-Language to Nav2: Operational Policies for Costmap-Based Navigation
Autonomous mobile robots support material transport in warehouses and industrial facilities, where navigation must adapt to changing operating conditions.Monte Carlo-Based Indoor UAV Localization in Dynamic Environments Using Only Four Onboard Range Sensors
Indoor UAV localization with minimal onboard sensing remains challenging, particularly in dynamic environments.Robust Offset-Free Lane-Keeping Control Framework for Vision-Only Automated Vehicles
Achieving accurate, real-time lane-keeping control during high-speed cornering on large-curvature roads while ensuring robust vehicle stability is a critical challenge in autonomous driving.Retiming Robot Demonstrations with a Learned Speed Prior
The pace of a robot demonstration is often determined by the teleoperator rather than by the task itself.Conditional Neural Processes for Self-Supervised Goal Discovery in Action Imitation
Inspired by infants' ability to learn novel tasks by imitating others, in this work we evaluate to what extent Conditional Neural Processes can autonomously learn representations of actions that are…