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 102
RFPO: Rectified Flow Policy Optimization for Embodied Control
Flow-based policies provide an expressive framework for continuous robot control, but their iterative ODE integration incurs substantial inference cost.FoldBack: Self-Correcting Masked Generative Policy for Long-Horizon Garment Folding
We present FoldBack, a self-correcting masked generative policy for long-horizon garment folding.LLA-MPPI: Rapidly Adaptive Whole-body Control of Legged Robots with GPU-Accelerated Parallel Simulations
Real-time whole-body controllers for legged robots typically plan through a fixed nominal model and degrade when the deployed dynamics change.CMP-IRRT*: A Perception-Assisted Height-Adaptive Planner for Quadruped Robots
Quadruped robots can traverse low obstacles, but many 2D planning pipelines still model obstacles as binary occupied regions and rely on sampling-based search that can be inefficient under a limited…Robotic Boomerang Throwing via Model-Based Release Design
Throwing objects that generate aerodynamic lift can greatly extend robot throwing beyond ballistic flight.Agentic RSR: Real-to-Sim-to-Real through Scene Reconstruction and Execution-Grounded Robot Policies
A simulation of a real robot workspace must preserve task-relevant interactions, while policies developed in it must operate on observations available to the real robot.HuMBLE: Human Motion-Driven Behavior Learning for Embodied Locomotion
Despite recent advances in humanoid locomotion, controllers optimized for command tracking and robustness tend to produce mechanical gaits, whereas controllers tied to human motion data often fail…Factorized Tactile Representation and Control for Sim-to-Real Manipulation
Tactile sim-to-real learning must bridge simulated contact and device-specific sensor responses while preserving information needed for control.RoboJEPA: Scaling Robotic Latent World Models
Latent world models have shown a remarkable ability to predict future states and to plan in the real world.Rephrase Before You Act: Characterizing and Mitigating Language Sensitivity in Vision-Language-Action Models
Vision-language-action models (VLAs) are strikingly sensitive to instruction phrasing and do not inherit the language robustness of the vision-language models they are built on.Long-WAM: Scaling the Context of World-Action Models
Real-time robot control demands enough visual history to infer motion and task progress, but processing that history can delay action.RoboPrompt: Intuitive Robot Policy Steering with Sparse Human Input
End-to-end robot policies trained through imitation learning remain constrained by limited data diversity, making reliable zero-shot deployment in real-world settings challenging.Never Look Back: Understanding Persistence in 3D Object Memory from Egocentric Videos
As we move through the world and carry out everyday tasks, we encounter objects that may become relevant only later.TacHair: Tactile Contact-Distribution Guided Online Correction for Robotic Hair Stroking and Perception
Hair stroking is common in daily grooming and personal care, and is also widely used in hair-product evaluation, motivating robots with similar physical interaction capabilities.Masked Generative Motion Planning with Geometry-Guided Token Search
Generative motion planners typically use learned trajectory priors for initial generation, while leaving test-time repair to local continuous refinement.TAPNAV: Humanoid Navigation through Tactile Active Perception
Navigation in vision-denied environments is challenging for humanoid robots because proprioceptive odometry drifts and localization uncertainty accumulates rapidly.NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime
Language models trained with long-horizon agentic reinforcement learning can generalize knowledge through reasoning, express precise actions, and pursue goals over many steps, raising the ceiling on…Same Action, Different Outcome: Variability in Dynamic Cloth Manipulation
Although cloth is known to exhibit different outcomes under repeated fast dynamic motions, even when the same trajectory is applied, this variability has not yet been systematically characterized.Diagnosing and Recovering from Observation-Space Shift at Long-Horizon Skill Seams
Long-horizon robotic manipulation is often built by chaining independently trained skills.Skill-SLM: Agent Skill-driven Small Language Models for Reliable Robot Operation
Small language models (SLMs) have been increasingly adopted for onboard robot operation because they enable intelligent decision-making.