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 220
MEMOBench: A Process Level Memory Benchmark for Robotic Manipulation
Robotic manipulation often requires acting on information that is no longer visible, yet Vision-Language-Action policies are usually evaluated when the current observation largely determines the…Large Discrete Policy: Advancing Explicit Behavior Modeling with Stochastic Iterative Scoring
Behavior policies are often formulated as continuous generative models, whose iterative denoising processes are expressive but difficult to interpret and prone to producing implausible actions.From LLM-Generated Specifications to Learned Quadruped Locomotion
Quadruped robot locomotion policies are often trained using reinforcement learning, which in turn relies heavily on hand-crafted reward functions.Beyond Task Success: Stage-Wise Reliability of World Model Planning under Sensing Degradation
In world model planning, sensing inputs pass through an encoder and predictor before affecting planner decisions, so final task success alone cannot reveal where sensing disturbances attenuate or…LightSplat: Real-Time High-Fidelity 3D Gaussian SLAM with Loop Closure
SLAM systems based on 3D Gaussian Splatting (3DGS) have recently demonstrated promising reconstruction accuracy for dense 3D scene representations.PV-WM: A Heterogeneous Micro-Macro World Model for Articulated Pedestrian-Vehicle Co-Rollout
Local pedestrian-vehicle forecasting spans heterogeneous physical scales: pedestrians combine root locomotion with articulated motion, whereas vehicles are rigid bodies described by kinematic state…D3ARC: Time-Critical Distributed Disaster Detection for Asynchronous Cooperative Multi-Robot Systems
Climate change is increasing the severity and unpredictability of natural disasters.Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action Policy
Robot foundation models are trained and evaluated predominantly in English, and robot demonstration corpora do not exist for most languages.CosmoH2G: A Hand-to-Gripper Transfer Dataset and Baseline Method for Object Manipulation with Complex Spatial Movements
Transferring human hand demonstrations to robotic grippers has recently emerged as a cost-effective solution for robot learning.Generation of Vectorized Maps Beyond Vehicle View
Autonomous driving relies on High Definition (HD) maps for safe navigation.Zero-Shot Sim-to-Real Contact-Rich Assembly via Proprioception-Anchored Cross-Modal Pretraining
Contact-rich assembly remains challenging because it requires submillimeter spatial accuracy and reliable interpretation of forces during sustained contact.Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding
Environments are increasingly populated by multiple robots performing independent tasks with limited prior knowledge of each other.Foundation Models for Generalizable Semantic and Goal-Oriented Communication
Semantic and goal-oriented communication is increasingly studied for 6G, but generalization beyond seen data remains a key weakness under tight rate budgets.Scene Graph-Driven Haptic Feedback for Safety Enhancement in Robotic Ophthalmic Surgery via Physically Simulated iOCT
Robotic ophthalmic surgery offers high precision but introduces a "sensory gap" by decoupling the surgeon from their instrument, resulting in a loss of tactile feedback.Learning to Fly: Stable Vision-Guided UAV Servoing with Compact Target-Centric Cues and Reinforcement Learning
Vision-guided reinforcement learning for Unmanned Aerial Vehicles (UAVs) remains challenging due to unstable policy optimisation, aggressive exploration, and the cost of high-dimensional visual…Collision Snapshot Guided Time-Reversed Safety-Critical Scenario Generation
The generation of safety-critical traffic scenarios is essential for training and evaluating autonomous vehicles.MemCorr-DP: Counterfactual Correspondence Conditioning for a Diffusion Policy Guided by a Reference
Behavior-cloned visuomotor policies can remain accurate near their training distribution yet fail when object position and camera viewpoint change together.CAVEAT: Recurrent Multimodal Diffusion Planning for Mapless Aerial Exploration
Can exploratory UAV waypoint sequences be generated from multimodal onboard observations and a fixed-dimensional recurrent internal state without maintaining a persistent global map in the deployed…Physico-Geospatial Grounded Scene Interpretation for Mobile Robotics
Recent advancements in deep learning allow robotic agents to interact with dynamic and unstructured environments.Diagnosing and Dynamically Filtering Occupancy World Models for Active Mapping
Active mapping requires a robot to select camera viewpoints that efficiently reconstruct an unknown 3D scene.