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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Embodied Zero-Shot Task Planning via Hardware-Aware LLM-VLM Integration for Grounded Robotic Manipulation
Large language models can translate natural-language instructions into plausible manipulation plans, but robotic execution requires physically grounded decisions that respect robot embodiment…An Informational Curse of Horizon in Goal-Conditioned Policy Learning
The difficulty of learning goal-reaching policies is often attributed to a "curse of horizon" that manifests as bias accumulation in temporal-difference backups and noisy advantage estimates.RoboRender: Robot-Oriented Video Generation for Visual Sim-to-Real Transfer
Simulation enables large-scale, low-cost robot data generation, but policies trained in simulation often fail to transfer to the real world due to the sim-to-real visual discrepancies.Evaluating the Transfer of Co-Evolved Communication from 2D to 3D Simulation
This work examines the transfer of a co-evolved communication mechanism between two robotic agents from a discrete two-dimensional (2D) simulator to a three-dimensional simulator with real physics…LACE-CRAFT: Robot Co-Design with Actor Inheritance and Blackboard Collaboration
Robot co-design couples morphology search with policy learning, yet training every new design from scratch discards acquired control experience.LeCuration: A Tiny World Model as a Data Curation Multi-Tool
Many applications of physical AI run within finite or closed physical worlds with a limited set of physical laws governing object behavior.Co${}^{2}$Skill: Whole-Body Control via Skill Composition for Long-Horizon Human-Environment Interaction
Achieving human-level dexterity in complex, unstructured environments requires the seamless integration of whole-body scene interaction and dexterous object manipulation skills.Adaptive Risk-Certified Event-Triggered Replanning for Dynamic Navigation
Safe navigation in dynamic environments requires robots to plan under obstacle predictions whose errors are uncertain, non-stationary, and can induce rare but safety-critical failures.Kuration SDK: Addressing the Virtual2Real Gap via Data Curation
Benchmarks for measuring the quality of action-conditioned world models are still evolving and shifting away from visual similarity-based metrics to action-semantic and physically-grounded metrics.Predicted Futures Are Not Enough: Learning Executable Goals for Robot Manipulation
Generative world models provide rich predictions of how manipulation scenes may evolve toward task objectives, yet those futures do not directly expose the compact task variables required by control.ClimbLab: MATLAB Simulation Platform for Legged Climbing Robotics
This paper presents an open-sourced MATLAB simulation and analysis platform dedicated to legged climbing robots.MCFR: A Mask-Guided Coarse-to-Fine Regression Framework for Robust Multi-Variant Board-to-Board Connector Assembly
Automated insertion of board-to-board (BTB) connectors in 3C manufacturing requires both high visual accuracy and strong deployment robustness.Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization
Learning from demonstrations (LfD) provides a framework for inferring unknown constraints from locally optimal, constraint-satisfying expert behavior.COOL: Curiosity-Driven Object Ownership Learning for Personalized Robotic Assistance
Robots are increasingly expected to provide personalized services in everyday environments.Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment
When diffusion policies were first introduced, they were expected to recover multi-modal action distributions.IVG-UAV: An Intelligent Voice-Guided UAV System for Autonomous Ripe Fruit Harvesting with Vision-Based Classification and Adaptive Path Planning
In tropical regions, their agricultural sectors remain highly dependent on manual labor for fruit harvesting.Event-Aligned Visual Action Reasoning for World Action Models
World-Action Models (WAMs) utilize future visual prediction as an intermediate reasoning process to guide action generation.TempoBridge: Language-Guided Tempo Control for Vision-Language-Action Policies
Vision-Language-Action (VLA) models are effective at understanding what task to perform, but provide limited control over how it should be executed, such as moving quickly or slowly.RobotAPO: Adversarial Physics Preference Optimization for Robotic Manipulation Video Generation
Robotic manipulation videos are increasingly used as visual plans for embodied agents, but optimizing purely for visual plausibility often fails to capture the fragile physical manifold of…RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning
Recently, approaches that leverage human video datasets for robot policy training have become increasingly prevalent.