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 212
ObstaDiff: Generalizable Diffusion Policy Learning via Obstacle-aware Representations
Imitation learning has achieved impressive results in robotic manipulation, yet most existing approaches assume clean backgrounds and lack explicit mechanisms for obstacle-aware motion generation.Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove
AI-based automated vehicle testing is challenging because a model that passes every test condition can still fail in the real world.A Mathematical Theory of Pragmatic Information
We propose a mathematical theory of pragmatic information that connects communication, control, and decision-making.Topological Necessities: Mechanism-Invariant Strategic Subgoals for Cross-Embodiment Goal-Conditioned Control
Long-horizon goal-conditioned reinforcement learning delegates control to a high-level module that proposes subgoals, but existing subgoals are implicit byproducts of value functions or latent…LTLDiff: Finite Linear Temporal Logic-Guided Data Generation and Diffusion Policies for Multi-agent Robotic Manipulation
Multi-agent robotic manipulation tasks require coordination among agents to satisfy task-level temporal, logical, and safety constraints.Gait-Dependent Effects on Quadruped Locomotion for Load-Carrying using Passive Mechanism
Passive mechanical interfaces offer a lightweight alternative to actuated manipulators for quadruped payload carrying, but their impedance directly couples the payload dynamics with the locomotion…Freehand Sketching for End-User Programming of Robot Swarms
Robot swarms are increasingly used in applications where accessible interaction with non-expert users is desirable.RIDE: Relocalization-Informed Depth Estimation with 3D Gaussian Splatting
Render--match--PnP relocalization establishes correspondences between query image pixels and 3D map points for camera pose recovery, but their potential to support dense depth estimation is often…Harness Robotic OS: A Unified Embodied-Agent Runtime for Closed-Loop Quadruped Inspection
Autonomous property inspection requires more than robust robot navigation: a deployable system must connect heterogeneous sensing, reusable autonomy capabilities, multimodal scene understanding…Beyond Noise Steering: Dual-Latent Space Reinforcement Learning for Generative Robot Policy
Pretrained generative robot policies learn expressive action priors from demonstrations.2AM: Grounding Agent-Side Memory as Guidance for Steerable Action Models in Long-Horizon Manipulation
Long-horizon robot manipulation requires memory, but not necessarily inside the action policy.Modular Kinematic Reduction of Closed-Chain Mechanisms Using Path Assembly and Defect Homotopy
Closed kinematic chains complicate modular modeling by coupling active and passive coordinates through nonlinear closure constraints.Morphology-Aware Human Motion Retargeting for Wheeled-Humanoid Loco-Manipulation
Human-to-humanoid retargeting has largely been studied on legged platforms, while comparatively few wheeled-humanoid systems support coupled locomotion and manipulation from general human motion.GeoTrussRover: Morphological Computation with Contact-Semantic Control Primitives
Reconfigurable robots can change their contact geometry when a fixed body cannot negotiate an obstacle.SwarmNxt: Open-source Software-Hardware Platform for Fast and Agile Aerial Swarms
Aerial robot swarms have the potential to transform time-critical safety, security, and search-and-rescue operations.Safety-aware Skill Adaptation for Reinforcement Learning in Dynamic Environments
Skill adaptation frameworks based on reinforcement learning often require restrictive assumptions to maintain stability, such as fixed observations or tightly controlled exploration schedules.FARM: Reading Failure Signals from the Internal Predictive States of a Frozen Robotic World Model
Reliable robot deployment requires online failure monitoring, yet existing monitors mainly derive risk from proxy signals or train dedicated monitoring components.3D Euler-Angle Orientation Control for Two-Ray Fading Mitigation in Maritime Air-to-Sea Communications
Maritime Air-to-Sea links are dominated by a line-of-sight ray and a sea-surface reflected ray whose destructive combination produces deep fades.CARLAverse: A Highly Modular, Distributed, and Multimodal Framework for Human-in-the-Loop Simulation
The development of autonomous driving demands comprehensive testing in mixed-traffic scenarios involving vulnerable road users (VRUs), where purely artificial agents often fail to capture authentic…Using Automated Vehicles Operational Data to Confirm Safety and Anticipate Threats
European Union (EU) policymakers adopted revolutionary data collection provisions for Automated Driving Systems (ADS) in the recently approved regulation that allows driverless vehicles to be…